IEEE NEMS 2026

Dayu Liu

The Second Affiliated Hospital, South China University of Technology, China

Dr. Dayu Liu is a professor at the Second Affiliated Hospital of South China University of Technology (SCUT). He obtained his Bachelor of Clinical Medicine from Dalian Medical University in 1995 and received a Ph.D. in Analytical Chemistry from the University of Chinese Academy of Sciences (UCAS) in 2005. Dr. Liu conducted postdoctoral research at the Hong Kong University of Science and Technology (HKUST) from 2011 to 2012. Currently, he serves as the Director of the Guangdong Provincial Engineering Research Center for Microfluidic Chip Medical Diagnostics. With a multidisciplinary academic background, Dr. Liu’s research primarily focuses on advancing microfluidic technologies for in vitro diagnostic applications. His work emphasizes the development of microfluidic chip-based rapid and high-content diagnostic platforms targeting infectious diseases and cancer. To date, he has published over 50 articles in peer-reviewed journals and is the Principal Investigator for 6 General Program grants awarded by the National Natural Science Foundation of China (NSFC). Furthermore, Dr. Liu holds more than 20 granted invention patents in China.

Speech Title: Development of Digital Microfluidics Droplet Inlet/Outlet Interface Technology and Its Application in In Vitro Diagnostics

Abstract: Digital microfluidics (DMF) represents a liquid manipulation technology that leverages the electrowetting-on-dielectric (EWOD) phenomenon, wherein the application of an electric voltage alters the contact angle of droplets on a hydrophobic surface. This technology allows programmable liquid manipulations such as dispensing, transporting, merging, and splitting within volumes ranging from nanoliters to microliters, thereby offering a theoretically optimal platform for on-demand sample processing. However, conventional DMF devices are subject to intrinsic limitations: the narrow gap between plates restricts fluidic exchange with external systems, substantially limiting their effectiveness in facilitating on-demand nucleic acid detection. This physical constraint is especially significant when processing batch samples that necessitate continuous liquid input and output. To overcome this limitation, we have developed a series of DMF interface technologies to enable continuous droplet introduction and extraction. The advancement of these technologies has significantly enhanced the sample handling capacity and application flexibility of DMF. We demonstrate the application of DMF devices equipped with droplet introduction and extraction interfaces in in vitro diagnostics.

Ren Shen

University of Macau, China

Dr. Ren Shen is currently an Assistant Professor at the Institute of Microelectronics, University of Macau. She obtained her B.Sc. in Biology from Tsinghua University in 2011 and her Ph.D. in Electrical and Computer Engineering from the University of Macau in 2021, followed by postdoctoral training at the University of Macau and Hong Kong Polytechnic University. With a multidisciplinary background, Dr. Shen is interested in applying engineering tools to solve biomedical and environmental problems. Her research focuses on the development of biosensors, digital microfluidic technologies, and lab-on-a-chip systems. To date, she has published over 10 peer-reviewed journal papers and received several best-poster awards at international conferences. Dr. Shen also has extensive experience in industry-academia-research collaboration and technology transfer, with five U.S. and Chinese invention patents filed to date, four of which have been granted.

Speech Title: Field-deployable Systems for On-site Nucleic Acid Analysis Based on Digital Microfluidics

Abstract: Nucleic acids have been an important source for exploring various aspects of our lives, including public health, food safety, and environmental inspection. Since on-site analysis is often required in real-world applications, field-deployable systems with easy-to-perform analytical methods and portable devices are highly desirable. In this talk, I will introduce efforts to develop microfluidic-based systems for nucleic acid analysis and how we tailor them for field applications. I will present experimental efforts and results on enhancing the robustness of chip-based reactions, obtaining naked-eye visible signals, achieving fast on-chip reactions, and reducing the total cost per test. The applications of such systems, including a yes-or-no identification of pathogens and further discrimination of gene mutations, will also be discussed.

Wanlei Gao

Ningbo University, China

Dr. Wanlei Gao is an Associate Professor and Master’s Supervisor with a Ph.D. in Microelectronics and Solid-State Electronics. She is affiliated with the Faculty of Electrical Engineering and Computer Science, Ningbo University. Her research focuses on micro/nano-biosensors, microfluidic chips, and their applications in point-of-care testing (POCT). She currently presides over 1 National Natural Science Foundation Youth Project, having completed 1 Postdoctoral Science Foundation project, 2 State Key Laboratory Foundation projects and 1 Zhejiang Provincial Natural Science Foundation project. Her team has developed highly sensitive, multi-analyte sensors for tumor marker detection, nucleic acid rapid testing and food safety monitoring. She also collaborates with enterprises like Ningbo Water Meter Co., Ltd. and Fotile Kitchen Ware Co., Ltd., integrating turbidity, residual chlorine and microbial sensors into water monitoring systems and household appliances. As first/corresponding author, she has published 15 papers in top journals including Biosensors and Bioelectronics, Microsystems & Nanoengineering and Talanta. She holds 20 patent applications, 12 of which are granted. Her achievements have earned her the Third Prize of Jiangsu Provincial Science and Technology Award and the Second Prize of Jiangsu Provincial Medical Award.

Speech Title: A novel MOFs-functionalized microelectrode-based biosensor for real-time monitoring of hydrogen peroxide from tumor cells

Abstract: Sensitive real-time monitoring of hydrogen peroxide (H2O2) in the tumor microenvironment is crucial for comprehending its dual biological effects and enhancing therapeutic strategies. Existing techniques for real-time detection of H2O2 in tumor cells often suffer from limitations such as low sensitivity, poor selectivity, and difficult achievement of non-invasive dynamic monitoring. In this study, a high-performance electrochemical biosensor was developed based on metal-organic frameworks (MOFs) for non-invasive, real-time detection of H2O2 released by tumor cells. The sensor, featuring an integrated thin-film electrode constructed via microelectromechanical system (MEMS) technology, combined a biosensing interface film of AuNPs/ZIF-8@ZIF-67 and XC-72 carbon black with a poly(dimethylsiloxane) cell culture chamber, enabling real-time monitoring of H2O2 during cell culture. The sensor exhibited a wide linear detection range (1–350 μM), a low detection limit (0.908 μM), high stability (RSD = 4.57 %), and strong anti-interference (under 15 %). Compared to a system with discrete large-area electrodes, this integrated platform not only retained the detection performance but also effectively overcame the limitations associated with in situ cell culture.The system was successfully applied to monitor oxidative stress in various tumor cells under ascorbic acid stimulation. It effectively distinguished differences in H2O2 levels between tumor cells and normal cells, thereby underscoring its potential in tumor research and drug screening.This study provides an efficient and reliable platform for investigating tumor-related oxidative stress and assessing therapeutic responses.

Hong Zhou

Northwestern Polytechnical University, China

Professor Zhou received his Ph.D. in Engineering and is currently a Professor and Ph.D. Supervisor at Northwestern Polytechnical University, as well as a recipient of China’s National Youth Talent Program. He serves as an Editorial Board Member of AI Sensors and Sensors International, a Youth Editorial Board Member of Nano-Micro Letters, and a Guest Editor for journals such as Nanomaterials. He has also been a regular reviewer for leading journals including Advanced Materials and Advanced Science. Professor Zhou’s research focuses on infrared photonic chips and intelligent detection technologies. He has led a National Natural Science Foundation of China (NSFC) General Program, published over 60 papers, including more than 30 as first or corresponding author in high-impact journals such as Science Advances, Nature Communications, Chemical Society Reviews, and Advanced Materials. His work has been cited over 2,500 times on Google Scholar, with an h-index of 29. His research has been featured on the homepage of Science Advances, selected as a Cover Article and Editor’s Choice in Advanced Materials, and included in the RSC “2023 Popular” Collection. He has received multiple academic honors, including Best Paper Awards at IEEE MEMS 2023 and Transducers 2025.

Speech Title: Bridging Mechanics and Light: MEMS Photonic Sensors for the Next Generation of Smart Detection

Abstract: Microelectromechanical systems (MEMS) have emerged as a transformative platform for integrating mechanical reconfigurability, electrical tunability, and optical precision into a single chip-scale device. When combined with advanced photonic structures, MEMS technologies enable dynamic control over light–matter interactions, offering unprecedented opportunities for adaptive sensing, imaging, and inertial measurement. This talk presents recent progress in MEMS-based photonic biosensors, highlighting their potential to redefine the limits of sensitivity and multifunctionality across infrared and acousto-optic domains.

Shengtai Bian

Fujian Agriculture and Forestry University, China

Shengtai Bian received his Ph.D. degree from the Department of Biomedical Engineering, Center for Systems Biology and National Engineering Research Center for Beijing Biochip Technology at Tsinghua University. Currently he serves as a Professor and Doctoral Supervisor at the Research Center for Agricultural and Forestry Artificial Intelligence Sensors, Institute of Agricultural and Forestry Artificial Intelligence, Fujian Agriculture and Forestry University. He previously held the position of Director of the Microfluidic Equipment Innovation and R&D Laboratory at Beijing Sport University. His research interests span the development of intelligent wearable devices and microfluidic rapid detection platforms with tailored applications in pathogen detection for agricultural production monitoring. He also devotes efforts to the rapid detection and analysis of cells and functional compounds as well as toxicological analysis biological signal pathway exploration and high-throughput screening technologies. His research work has been supported by multiple national-level programs including the 863 Program, 973 Program and National Natural Science Foundation of China. His findings have been published in a broad range of international mainstream journals such as VIEW, BMEMat, Lab on a Chip, Analytical Chemistry, SR, Sensors, Biomicrofluidics, Biosensors and Bioelectronics, Biological Trace Element Research, Chemistry – A European Journal and IEEE series journals. He additionally holds multiple authorized patents in microfluidic detection and biosensor technologies.

Speech Title: Pathogen Detection Technologies for Agricultural Production Monitoring

Abstract: Reliable on-site detection of agricultural pathogens is critical for ensuring crop and aquatic product safety alongside smart production. This presentation reports a set of integrated sensing systems developed by the Research Center for Agricultural and Forestry Artificial Intelligence Sensors for agricultural pathogen monitoring. Based on the center's "demand-driven, interdisciplinary integration" orientation, we built a trinity system covering core sensing technology, scenario-adapted equipment and industrialization. This system addresses gaps in agricultural on-site detection. We then detail key devices tailored for agricultural scenarios. A pathogen universal detection platform integrates microfluidic rapid detection and intelligent identification to enable on-site automated screening of known and emerging pathogens in crops and aquatic products. A high-sensitivity water quality detection system is optimized for common pathogens and features portability with real-time data output. Performance validation and field application cases are introduced to demonstrate how these systems support practical agricultural production monitoring. This work illustrates the feasibility of intelligent sensing technologies in bridging lab research and agricultural production practice.

Xu Du

Jiangsu University, China

Xu Du is an Associate Professor in the Department of Mechanical Engineering at Jiangsu University and has been selected for a talent program supported by China’s Ministry of Education. He received his Ph.D. (Eng.) in Micro/Nano Mechanical Engineering from Nagoya University. His research focuses on robot-integrated microfluidic chips, single-cell manipulation and measurement, and micro-force sensors. He has published over 20 academic papers and holds more than 10 granted patents.

Speech Title: On-Chip Fluid Control and Force Quantification for Single-Cell Mechanical Characterization

Abstract: The mechanical properties of cells are informative biophysical indices for evaluating cellular states and functions. Precise control of the extracellular flow field further enables single cells to be exposed to programmable chemical stimuli. Here, we report a microfluidic approach that integrates on-chip force sensing with a liquid switching function to quantify the dynamic mechanical response of a single cell under osmotic stimulation and to provide a quantitative readout that can be used to investigate mechanosensitive channel-related cellular responses. We developed a closed silicon-based microfluidic chip in which a single cell is positioned and mechanically loaded by on-chip probes, while the reaction force and cell deformation are recorded synchronously. Liquid switching is achieved by controlling a laminar liquid–liquid interface in the measurement region. This platform captures time-resolved deformation dynamics and reaction force during osmotic downshock. To further improve liquid switching, we implemented synchronized injection–aspiration through a microprobe to form a pressure-balanced confined flow field around the target cell. This configuration enables millisecond-level liquid switching while maintaining stable force readout for reliable quantification of rapid transient cell responses. In addition, considering the fabrication complexity and cost of silicon MEMS chips, we performed an initial feasibility study of fully 3D-printed microfluidic chips with integrated force-sensing structures, aiming to simplify fabrication and expand access to single-cell force measurement.

Xiaoping Li

Tianjin University, China

Xiaoping Li, Ph.D., full-time research fellow at the State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University. His research interests include MEMS/microfluidics and instruments, DNA nanotechnology and biosensors. His researches have been published in journals such as Microsystems & Nanoengineering and Sensors and Actuators B: Chemical, as well as international conferences including IEEE MEMS, Transducers and IEEE NEMS. Dr. Li serves as a Young Editorial Board Member for the BioDesign Research journal. He received the Scifax. 6th Edition of Research and Recognition “Best Researcher Award”, and was nominated for the finalist of "CM Ho Best Paper Award in Micro/Nano Fluidics" in the IEEE NEMS 2022 conference.

Speech Title: DNA-based molecular pendulum biosensor for ultra-sensitive detection of biomarkers

Abstract: Electrochemical sensing of biomarkers in complex biological matrices presents significant challenges in terms of selectivity and sensitivity. Here we introduce an advanced aptamer-integrated molecular pendulum sensing platform to address these limitations, with the powerful advantages of aptamers such as high affinity, ease of chemical modification, and adaptive conformational changes upon target binding. The aptamer was immobilized on the electrode surface via rigid double-stranded DNA pendulum, which was precisely and spatially controlled by using a DNA tetrahedron nanostructure as a scaffold. The field-induced regulation of the probes effectively overcomes the fundamental constraint of the Debye screening effect, thus enabling reliable detection in physiological ionic strength environments. This platform demonstrated exceptional performance for the quantitative detection of protein biomarkers, and demonstrated a versatile and generalizable strategy for wearable/implantable health monitoring devices for next-generation diagnostics and personalized medicine.

Shuailong Zhang

Beijing Institute of Technology, China

Shuailong Zhang is a full professor with Beijing Institute of Technology, China and a PhD supervisor with the same Institution. He was selected for the “National Young Talent Abroad” program in 2019. Prof. Zhang’s research covers micromanipulation technologies, optical control and actuation technologies, micro total analysis system and lab-on-a-chip technologies. In 2015, he obtained a PhD degree in Physics from the University of Strathclyde in the United Kingdom under the supervision of Professor Martin Dawson, a Fellow of the Royal Society. Following this, he conducted postdoctoral research in the teams of Professor Jonathan Cooper, a Fellow of the Royal Academy of Engineering, and Professor Aaron Wheeler, the Editor-in-Chief of the journal Lab on a Chip and a Tier 1 Canada research chair. Prof. Zhang has published over 100 papers in SCI journals. As a project leader and key participant, Prof. Zhang has led or participated in multiple research projects funded by the National Natural Science Foundation of China, the Key Research and Development Program of the Ministry of Science and Technology of China, the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Engineering and Physical Sciences Research Council (EPSRC) of the United Kingdom.

Speech Title: Optoelectronic tweezers and digital microfluidics: a story of two useful micromanipulation technologies

Abstract: Optoelectronic tweezers (OET) are a useful opto-electro-fluidic technology utilizing light-patterned dielectrophoresis for fine and non-invasive control and actuation of micro-objects. The first part of this presentation demonstrated the use of OET to manipulate different objects, including microrobots, micromachines and biological cells. The second part of the presentation introduces another complementary technology known as digital microfluidics (DMF), which utilizes electrowetting-on-dielectric effect to move tiny droplets. DMF is very useful for applications such as point-of-care diagnostics, single-cell analysis, and sample preparation for Mass Spectroscopy and Nuclear Magnetic Resonance Spectroscopy. The experimental results demonstrated that OET and DMF are very useful micromanipulations tools for chemistry, physics, and biomedical engineering.

Wenhao Hui

Zhuhai ProMed Precise Medical Technology Co., Ltd., China

Wenhao Hui is the CEO and co-founder of ProMed Precise Medical Technology Co., Ltd., and also serves as a councilmember in Hengqin Health and Biomedicine Industry Association. He obtained his Ph.D. from the State-Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, followed by a visiting scholar at Imperial College London. His research activities span over single-cell impedance sensing CMOS, digital microfluidics, and large-scale patterning techniques on chips, aimed at clinical diagnosis of primary tumors and drug screening applications. Dr. Hui has authored multiple publications in leading journals such as the Advanced Science、ACS Sensors, Sensors and Actuators B et al, with two papers featured as cover stories. His work was recognized with the IEEE Biosensors2024 Best Paper Award. Leveraging years of practical experience in the In Vitro Diagnostics medical device, he has incubated two medical device companies. The detection chips and instruments developed have been successfully deployed in hospitals in China, England and the United States.

Speech Title: Commercialization of Digital Microfluidics Precision Medicine Platform

Abstract: Digital microfluidics (DMF) is widely used in biomedical research, diagnostics, chemistry, and chemical synthesis for its precision in manipulating discrete droplets. In this talk, I will introduce the implementation of automated sample delivery, splitting, mixing, concentration control, and analysis on DMF. I will present applications of the intelligent DMF platforms in primary tumor drug screening, antibiotic susceptibility test, and polymerase chain reaction test and discuss how to establish a clinical protocol for precision medicine and commercialization. Future prospects and market potential of the DMF-based precision medical platform will be discussed.

Wei Wang

Westlake University, China

Wei Wang is an Assistant Professor at Westlake University, where he leads the Intelligent Microrobotics Laboratory. He earned his B.S. in Mechanics from Dalian University of Technology (2015), M.S. in Mechanics from Tsinghua University (2018), and Ph.D. in Mechanical Engineering from Cornell University (2024), followed by postdoctoral research at Cornell. His work focuses on microrobotics, with first/corresponding-author publications in Nature (cover), Nature Materials (cover), Science Robotics and et al, featured in Nature Physics, Nature Reviews Materials, and Scientific American and et al.

Speech Title: Bioinspired intelligent cilia robots

Abstract: This report will present the research achievements of Professor Wei Wang in the field of bioinspired intelligent cilia robots. Firstly, the report will cover the design and fabrication methods of micro/nano actuators based on mechanical design and nanofabrication technologies, with a focus on how to achieve fluid pumping functions through controllable deformation. Secondly, the report will introduce integrated circuits for cilia robots, including the design and manufacturing processes of integrated circuit-compatible cilia robots.

Bo Long

Fujian Agriculture and Forestry University, China

Bo Long is an Associate Professor, Director of the Department of Electronic/Agricultural Engineering, and Master's Supervisor at Fujian Agriculture and Forestry University (FAFU). He earned his Doctor of Engineering in Physical Electronics from Fuzhou University (2015), is pursuing postdoctoral research in Forestry Engineering at FAFU, and was a visiting scholar at Zhejiang University (2021-2022). He teaches undergraduate and postgraduate courses like Intelligent Sensing and Detection Technology and Scientific Research Methods and Thesis Writing. He has presided over multiple teaching reform projects, winning the first prize in the National Young Teachers' Teaching Competition for Agricultural Engineering (2021), and titles such as FAFU "Excellent Teacher" (2025) and Fujian "Teaching Rookie" (2024). His research focuses on biosensing materials/devices, aquatic disease detection, and food safety technology. He presides over 2 ongoing provincial projects, has completed 4 hosted ones, published over 15 SCI papers (many in JCR Q1, e.g., Advanced Composites and Hybrid Materials, IF=23.2), and holds 4 patents. He co-compiled 2 textbooks, committing to interdisciplinary innovation in agricultural engineering.

Speech Title: Research and Application Exploration of Intelligent Agricultural Micro-Nano Sensors

Abstract: This report focuses on the research and application exploration of intelligent agricultural micro-nano sensors, aiming to provide technical support for agricultural information sensing and precision farming. It mainly covers four core research directions, including covalent organic framework (COFs) electrochemical sensors for antibiotic detection, carbon-based composite film sensors for antibiotic residue detection, intelligent sensing technology applied in mariculture, and COF humidity film wearable sensors. The research achieves innovations in sensor materials and device integration, such as developing high-sensitivity and specific COFs composite-based electrochemical sensors, and integrating sensors with embedded devices to realize portable on-site detection. It also involves the application of sensing technology in water quality parameter intelligent prediction and sea cucumber culture monitoring, with relevant research results published and patents authorized, contributing to interdisciplinary innovation in agricultural information sensing technology.

Liqiu Wang

The Hong Kong Polytechnic University, China

Professor Wang Liqiu is the Otto Poon Charitable Foundation Endowed Professor in Smart and Sustainable Energy and Chair Professor of Thermal-Fluid Science and Energy Engineering in the Department of Mechanical Engineering at The Hong Kong Polytechnic University (PolyU). He also serves as the founding Director of the PolyU–Zibo Technology and Innovation Research Institute. A leading figure in his field for over three decades, Professor Wang has pioneered systematic and groundbreaking research at the intersection of thermal-fluid science, energy engineering, and advanced manufacturing. His prolific scholarly record comprises more than 580 high-impact publications, 11 authored monographs, and over 40 patents, reflecting a sustained commitment to both fundamental discovery and technological innovation. Professor Wang's global scholarly influence is demonstrated by his consistent recognition as a Clarivate Top 1% Highly Cited Researcher and his ranking among the World’s Top 2% Most-Cited Scientists (Stanford University). His inventive work has garnered prestigious international accolades, including the OSA Innovation Award (2017), the Global Technology Innovation Award (2018), and multiple gold and silver medals at the Geneva International Exhibition of Inventions. An active leader in the global academic community, Professor Wang serves on the editorial boards of over 30 international journals and has founded and chaired major international conference series. His expertise is widely sought by industry and government, underscoring his role in shaping the future of sustainable energy and fluidic systems. As an accomplished scholar and compelling speaker, he has delivered more than 100 invited and keynote lectures worldwide.

Speech Title: Navigating the Invisible: Contactless Control of Liquids

Abstract: Precision liquid manipulation is the cornerstone of advancements in genomics, proteomics, clinical diagnostics, and drug discovery. Yet, the very properties of biological fluids—their divisibility, surface adhesion, and potential pathogenicity—pose formidable challenges, especially at minute volumes. Handling nano- and subnanoliter samples of infectious agents, such as Ebola virus in blood, presents severe biohazard risks at every stage: from sample preparation and filtration to purification and disposal. Conventional methods, reliant on physical contact, perpetuate exposure dangers and generate contaminated plastic waste. In this talk, Professor Wang unveils a transformative paradigm: contactless liquid manipulation using targeted external energy fields. By harnessing precisely applied sound, light, thermal, magnetic, or fiber-optic stimuli, this approach acts as a versatile "digital hand"—one that never gets wet. Professor Wang will demonstrate how this platform enables the on-demand navigation, fusion, division, and dynamic shaping of droplets entirely without surface contact. This groundbreaking methodology promises to redefine safety protocols in biomedical laboratories and pharmaceutical production. By eliminating fluid-tool contact, it drastically reduces cross-contamination, mitigates infection risks for healthcare workers, and minimizes infectious waste. Furthermore, it paves the way for a significant reduction in single-use plastics, aligning cutting-edge science with urgent sustainability goals. Join us to explore how this contactless revolution can safeguard researchers, enhance reproducibility, and propel the life sciences into a safer, more efficient future.

Hou Han Wei

Nanyang Technological University, Singapore

Dr. Han Wei Hou is an Associate Professor at the School of Mechanical and Aerospace Engineering (MAE), and Lee Kong Chian School of Medicine (LKCMedicine) at Nanyang Technological University Singapore (NTU). He is also an Adjunct Senior Research Scientist at Tan Tock Seng Hospital (TTSH), and currently serves as the Assistant Chair (Students) at MAE. Dr. Hou received his BEng (First Class Hons) and PhD degree in Biomedical Engineering at the National University of Singapore in 2008 and 2012, respectively. Upon graduation, he did his postdoctoral training at Massachusetts Institute of Technology (USA), and subsequently joined LKCMedicine as the inaugural LKCMedicine Postdoctoral Fellow in 2014. He started his research group at NTU (BioMicroSystems Laboratory, www.hwhoulab.com) in 2018 and his research interests include microfluidics blood diagnostics, organ-on-chips, and cell-based biomanufacturing. He has authored over 60 peer-reviewed journal publications and filed 15 patents/patent applications. His recent research awards and accolades include World's Top 2% Scientists (By Stanford University) (2023, 2024, 2025), International Academy of Medical and Biological Engineering (IAMBE) Early Career Award (2022), NTU College of Engineering Research – Young Faculty Special Mention (2022), and International Society for Advancement of Cytometry (ISAC) Innovators (2021).

Speech Title: Label-Free Impedance Cytometry as In-line Process Analytical Tools in Cell Manufacturing

Abstract: Stem cell manufacturing using suspension cultures of microcarriers, hydrogel microparticles and 3D cell aggregates remain challenging due to due to uncontrolled biological variability and size heterogeneity. This highlights the need for novel process analytical tools (PAT) capable of single-particle and single-cell resolution. In this talk, I will share our recent advances in microfluidic impedance cytometry as a highly sensitive approach for high throughput label-free bioanalysis of single cells and stem cell aggregates. We will highlight our impedance-based PAT for monitoring cell differentiation and detection of low-abundance residual undifferentiated induced pluripotent stem cells (iPSCs), enabling robust assessment of stem cell product quality and safety in regenerative medicine. Besides analysis, we have also developed an impedance-based particle sorter for in-line bioreactor sampling and automated analysis of biomass, cell viability and stem cell differentiation. Importantly, its tunable, multi-parametric sorting capabilities facilitate the fractionation of stem cell aggregates or microcarriers into user-defined size ranges and impedance signatures to improve cell product quality in continuous stem cell manufacturing.

Mojun Chen

Hong Kong University of Science and Technology, China

Mojun Chen, Assistant Professor in the Smart Manufacturing Thrust at the Hong Kong University of Science and Technology (Guangzhou). He obtained his PhD and conducted postdoctoral research at the University of Hong Kong. His research interests include micro/nano 3D printing technology, optoelectronic devices, micro/nano robots, and wearable devices. He has published ~30 papers (including 4 cover papers) in top journals such as Advanced Materials (front cover), Nano Letters, ACS Nano, Advanced Functional Materials, and Small (frontispiece), and has been granted 2 China-US patents. He is a recipient of the Ministry of Education's U40 Program, and serves as the project leader for the "14th Five-Year Plan" National Key R&D Program. He also oversees a research project funded by the National Natural Science Foundation of China, in addition to leading multiple initiatives supported by the Natural Science Foundation of Guangdong Province, various municipal-level funding bodies, and collaborative projects with industry partners and research institutions. He serves as a Young Editorial Board Member of eScience (Impact Factor: 42.9)

Speech Title: 3D-Printed E-Skin: A Wearable Platform for Plant Growth Monitoring

Abstract: Continuous and precise monitoring of plant growth is critical for advancing global smart agriculture, as it plays a pivotal role in mitigating food shortages and ensuring optimal crop quality. Currently, existing plant growth monitoring instruments are plagued by several unresolved challenges, including low measurement precision, invasive damage to plants, and limited light transmittance—all of which hinder normal photosynthetic processes and compromise monitoring reliability. Herein, we report an ultrasensitive liquid metal e-skin (LMES) specifically designed for non-invasive, high-precision plant growth monitoring. The LMES was fabricated via direct ink writing (DIW), wherein gallium-indium eutectic alloy (EGaIn) ink was extruded through micro-nozzles with modified inner surfaces onto a flexible substrate, forming a stretchable strain sensor with integrated sensing capabilities. This LMES exhibits superior performance, including ultrahigh sensitivity, rapid response time, excellent long-term stability, and high optical transmittance—key advantages that address the limitations of conventional monitoring tools. To validate its practical applicability, continuous growth monitoring was conducted on Golden pothos leaves; results demonstrated that the LMES could precisely capture leaf growth cycles under photosynthetic conditions and distinguish varying growth rates across different leaf ages, enabling microscale non-invasive monitoring of plant growth dynamics. Collectively, these findings confirm the feasibility and practical potential of the LMES, offering a novel, high-performance sensing platform for advancing smart agriculture technologies.

Daniela Nunes Gomes

NOVA University of Lisbon, Portugal

Daniela da Silva Nunes Gomes is an Assistant Professor at the Department of Materials Science of NOVA School of Science and Technology (NOVA FCT), Portugal, and a researcher at CENIMAT/i3N. She obtained her Ph.D. in Materials Engineering from Instituto Superior Técnico in 2012, with distinction, with a dissertation entitled Carbon dispersions in nanostructured metals. In 2013, she joined CENIMAT as a post-doctoral researcher, where she developed advanced functional materials for electronic applications under a project funded by Fundação para a Ciência e Tecnologia.Since 2018, she has been lecturing several courses in the areas of Materials Engineering and Micro and Nanotechnology Engineering at NOVA FCT. She is also actively involved in the Nanofabrication and NANOVA laboratories at CENIMAT, where she serves as one of the lab managers and main operators of SEM and STEM facilities.Her research activity is strongly focused on materials characterisation using electron microscopies, synthesis and structural characterisation of metal oxide-based nanostructures, and functional materials for electronic and photocatalytic applications. She has established extensive national and international collaborations and is the co-author of more than 100 peer-reviewed scientific publications, 2 books and 4 book chapters, with an h-index of 33 (Scopus).Professor Nunes has participated in numerous competitive research projects, including European and national initiatives, acting as scientific/technical responsible and principal investigator. She is currently the principal investigator at CENIMAT of the PRR project Sustainable Stone by Portugal. Her multidisciplinary work bridges materials science, nanotechnology and advanced characterisation techniques, contributing to both fundamental research and applied technological development.

Speech Title: Defect-Engineered TiO₂ Nanomaterials on Sustainable Substrates for Enhanced Solar Photocatalysis

Abstract: Sustainable photocatalytic nanomaterials have gained increasing attention for the removal of emerging contaminants from water, particularly pharmaceutical compounds. Titanium dioxide (TiO₂) remains one of the most widely studied photocatalysts due to its physicochemical stability, non-toxicity, and high photocatalytic efficiency; however, its practical implementation is hindered by limited visible-light absorption, rapid charge recombination, and challenges associated with recovery and reuse in powder form. Overcoming these limitations requires integrated and environmentally responsible material design strategies. This work introduces a green and scalable approach to address these limitations through structural modifications, defect engineering, and immobilization on sustainable substrates. Microwave-assisted synthesis is employed as a green, fast, cost-effective, and scalable route to control crystallinity, morphology, and defect formation, enabling the production of nanostructures with high surface area and enhanced reactivity. Calcium incorporation, including calcium derived from biowaste sources [1], is explored as an effective approach to tune the TiO₂ structure by inducing structural defects, such as stacking faults, grain boundaries, and surface steps [2, 3]. The defect-rich TiO₂ nanomaterials were subsequently immobilized onto sustainable flexible substrates, including cellulose-based membranes, paper, and polymeric foams. These immobilization strategies address key challenges related to catalyst recovery, reusability, and large-scale applications. The combined effects of bulk and surface modifications significantly improve optical absorption, surface hydroxylation, active site density, and surface area, resulting in enhanced adsorption capacity and photocatalytic activity under solar irradiation. Reusability and ecotoxicity tests confirm the stability and environmental safety of the materials for long-term applications. This study presents a combination of structural modification achieved through a green synthesis route and sustainable immobilization to develop efficient, reusable, and eco-friendly TiO₂ photocatalytic platforms active under solar irradiation. The proposed approach aligns with circular economy principles and offers a scalable pathway for solar-driven water remediation. References [1] B. Canova, et.al., Environmental Science: Nano (2026). [2] M.L. Matias, et.al., Advanced Sustainable Systems 9(10) (2025) e00675. [3] M.L. Matias, et.al. Environmental Science: Advances (2025), 4, 713-738.

Chunfeng Wang

Shenzhen University, China

Chunfeng Wang is a research Professor and Ph.D. supervisor at the College of Materials Science and Engineering, Shenzhen University. He received his B.S. (2013) and Ph.D. (2019) degrees from the School of Materials Science and Engineering, Zhengzhou University. During his Ph.D., he was jointly trained at the University of California, San Diego (as a CSC visiting scholar) and the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences. His research focuses on mechanoluminescent materials and tactile sensing devices.He has published more than 60 papers in high-impact journals such as Nature Nanotechnology, Advanced Materials, Advanced Functional Materials, ACS Nano, and Science Bulletin, including 16 ESI highly cited papers and 4 hot papers, with over 9000 total citations and an H-index of 42. His honors include the Nanoscale 2025 Emerging Investigator by the Royal Society of Chemistry, First Prize in Natural Science of Henan Province (8/9), Shenzhen High-Level Overseas Talent Award. He serves as a youth editorial board member for Exploration, Soft Science, Wearable Electronics, Nano-Micro Letters, Information & Functional Materials, and Progress in Natural Science: Materials International.

Speech Title: Mechanoluminescent Materials for Tactile Sensor

Abstract: Touch provides access to information in areas where other senses fall short, making it essential for perceiving complex physical properties. Tactile sensors, which mimic the touching functions of human skin, are foundational to intelligent perception and play a critical role in robotics, smart manufacturing, prosthetics, and human–machine interaction. Mechanoluminescence (ML) is a direct force-to-light conversion phenomenon in which materials emit light under mechanical stimulation, without the need for external electric fields or light sources. Its strong correlation with mechanical stress makes ML highly suitable for self-powered, multimodal optical tactile sensors. Our research focuses on mechanoluminescent materials and their integration into tactile sensing devices. Specifically: (1) We design and synthesize heterojunction mechanoluminescent materials, revealing the relationship between heterointerfaces and luminescence performance, thereby addressing the challenges of weak emission intensity and limited wavelength range; (2) We develop mechanoluminescence-based tactile sensors, investigating the coupled force–electric–optical responses to achieve self-powered, visual, high-resolution, interference-free, and real-time sensing and imaging of complex tactile information; (3) We establish advanced techniques for dynamic optical signal acquisition, enabling accurate, interference-free recognition and reconstruction of mechanoluminescent signals, and laying the groundwork for intelligent mechanoluminescent sensing and interactive systems.

Rusen Yang

Xidian University, China

Dr. Rusen Yang is a professor of the School of Physics in Xidian University in China and a fellow of the Royal Society of Chemistry. He obtained his M.S. and B.S. in Condensed Matter Physics from Jilin University, China. In 2007, he received his PhD degree in Materials Science and Engineering from Georgia Institute of Technology, where he continued as Post-Doctoral Associate till 2010. From 2010 to 2018 he worked as an assistant professor in the Department of Mechanical Engineering at the University of Minnesota where he was elected as a McKnight Land Grant Professor in 2013. He has focused his research on bio-inspired functional materials and energy harvesting technology. He has developed new processes to achieve nanowires with controlled orientation and post-growth approaches to align nanostructures. He has created piezoelectric biomaterials with controlled polarization and applied them for energy harvesting. He has published over 160 papers in peer-reviewed journals. His transformative work won him NSF Career Award, 3M NFTA Award, and Nano Energy Award.

Speech Title: Self-assemblies of Piezoelectric Metabolites and Their Energy Harvesting Applications

Abstract: Piezoelectric metabolite materials have received increasing attention in recent years owing to their inherent biological nature and efficient energy conversion capability, and piezoelectric metabolite self-assemblies are considered as promising smart materials for energy, sensor, robotics, healthcare, and many other areas. Rational material design is important to enhance their piezoelectric and biological activity. Herein, recent advancements to piezoelectric biomaterials, such as amino acids and peptide-based micro/nanostructures, are provided. Synthetic methods, morphological features, and piezoelectric performance of piezoelectric biomaterials are presented. The effect of growth direction, phase and structure of piezoelectric biomaterials on their piezoelectric activity are discussed. The applications of piezoelectric biomaterials in the field of nanogenerators are provided at the end.

Weiguan Zhang

Sun Yat-sen University, China

Weiguan Zhang is currently an Associate Professor at Sun Yat-sen University (SYSU). He received the Ph.D. degree in Electronic Engineering from City University of Hong Kong in 2014. Then, he worked as a research associate in The Hong Kong University of Science and Technology and City University of Hong Kong. Before joining SYSU, he served as an associate research fellow at Shenzhen University (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)). His research interest includes flexible electronics, micro/nano sensors, and their applications for human-machine interactions. He has published more than 30 papers in international journals and conferences, and authorized 5 invention patents. His research has been funded by both National Natural Science Foundation of China and Guangdong Natural Science Foundation.

Speech Title: Flexible Multimodal Sensory Systems Integrating Self-Powered Active Sensing for Human-Machine Interaction

Abstract: Advanced human-machine interaction requires flexible electronic skins that go beyond simple pressure detection to achieve complex, multimodal perception. This talk explores sensory systems that integrate self-powered active sensing with touchless proximity detection. By combining structural innovations with hybrid mechanisms, these systems can distinguish intricate mechanical stimuli and recognize objects with high precision. Finally, we demonstrate fusing these multimodal signals with Large Language Models, serving as a promising pathway toward the realization of embodied intelligence.

Qilin Hua

Beijing Institute of Technology, China

Qilin Hua is currently a professor at the School of Integrated Circuits and Electronics, Beijing Institute of Technology. His research interests include flexible/stretchable electronics, nanoelectronics, and neuromorphic engineering. He has authored more than 80 peer-reviewed publications in leading journals, including Nature Communications, Advanced Materials and Chemical Society Reviews, accumulating over 4,200 citations, with a single paper cited more than 1,480 times. His representative works have been recognized as ESI Highly Cited Papers, China's Top 100 Most Influential International Academic Papers (2018), IEEE EDSSC 2025 Excellent Paper, etc. He currently serves as Young Editorial Board Member for journals, such as Nano Energy, Soft Science, Information & Functional Materials, SmartSys, and Nanotechnology and Precision Engineering.

Speech Title: Neuro-inspired Artificial Sensory Systems for Embodied Intelligence Interaction

Abstract: As we enter a new era of intelligence, the urgent demand for advanced bio-inspired electronic devices is rapidly increasing, driven by the Internet of Things (IoT) and artificial intelligence (AI). Traditional electronic systems, operating under conventional computing architectures, face persistent challenges related to energy efficiency, memory limitations, and scaling constraints. Currently, memristor-based neuromorphic devices have emerged as promising solutions, showcasing remarkable capabilities for efficiently implementing complex data processing tasks by emulating the synaptic and neuron functions of the human brain. Inspired by neuron models, artificial sensory systems have developed and found applications in diverse fields such as humanoid robots, electronic skin, and brain-computer interfaces. Of particular interest are artificial receptors that exhibit biologically complex sensory functions, holding significant potential in the expanding domains of humanoid robotics and intelligent prosthetics. However, conventional artificial sensory systems, with the separation of sensors, memory units, and processing components, present serious challenges in terms of device integration, efficiency, and power consumption. In this talk, we will demonstrate the neuro-inspired artificial sensory systems featuring with memristors based on piezoelectric, piezoionic, or thermoelectric effect. This development marks a notable stride towards realizing neuro-inspired receptors, and will enable a new paradigm of intelligent perception in neuromorphic engineering.

Ziya Wang

Shenzhen University, China

Ziya Wang, Assistant Professor/Specially Appointed Associate Researcher, College of Physics and Optoelectronic Engineering, Shenzhen University. Her current research focuses on the mechanisms of multi-modal flexible perception and device design, as well as their applications in general-purpose humanoid robots and specialized robots. She has published over 30 papers as the first or corresponding author, with over 2,000 citations on Google Scholar and an H-index of 21.

Speech Title: A Triboelectric Aero-Field Sensor Enables Cross-Scale Multi-Parameter Sensing in Meter-Scale Flapping-Wing Aircraft

Abstract: Accurate in-situ sensing of unsteady aerodynamics is essential yet highly challenging for closed-loop control in biomimetic meter-scale flapping-wing aircraft. This task demands the capture of three coupled parameters—local wind speed, angle-of-attack, and flapping frequency. Herein, we report a conformal triboelectric aero-field sensor that transduces airflow into aeroelastic vibration induced signals precisely. A low-damping, apertured cantilever design ensures a broad sensing range and rich signal features, enabling accurate decoding of parameters via a deep-learning model (mean absolute errors of 0.11 m·s⁻1, 0.10°, and 0.08 Hz). To bridge the Reynolds number gap across scales, we employ a transfer learning strategy, creating a unified model that generalizes from small-scale to full-scale tunnel tests. Outdoor flight tests verified the reconstructed parameters, and the predicted variation trends aligned well with the underlying aircraft maneuvers. This study provides a scalable framework for biomimetic airflow sensing system and establishes a basis for implementing closed-loop flight control.

Kai Dong

Beijing Institute of Nanoenergy and Nanosystems, CAS, China

Prof. Kai Dong is a research fellow and doctoral supervisor in Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences. He is also the head of the Smart Textile Lab, Beijing Overseas High-Level Talents, Beijing Special Expert, and Visting Scholar at Georgia Institute of Technology. His research interests mainly focus on new mechano-electric conversion fiber materials and self-powered wearable textile devices based on contact or frictional electrification effects, including the contact electrification mechanism of polymer dielectrics, performance optimization of mechano-electric conversion fiber materials, and integrated applications of self-powered wearable textile devices. He has published more than 100 papers, including Nat. Commun., Sci. Adv., Adv. Mater., and etc. In addition, he has won the International Advanced Materials Society Scientist Award, the 2023 Clarivate Analytics Interdisciplinary Highly Cited Researchers, and the 2023 Elsevier Highly Cited Chinese Researchers.

Speech Title: Triboelectric fibers and self-powered wearable devices

Abstract: Triboelectric fiber materials represent a novel integration of an emerging mechanical energy harvesting technology—triboelectric nanogenerators—with traditional textile materials. To address key scientific and technical challenges such as unclear charge generation mechanisms, insufficient electrical output performance, limited self-powered sensing accuracy, and a narrow range of smart application scenarios, this study systematically investigates the triboelectric/contact electrification mechanism. Through surface/interface material modification, interfacial microstructure regulation, and three-dimensional fabric structural design, the output power density and pressure sensing performance of the fiber materials have been effectively enhanced. Furthermore, by integrating circuit management, program development, and interface design, the application of these materials has been explored across various fields, including wearable self-charging power-generating textiles, complex human motion recognition, underwater ultrasonic positioning and tracking, physiological signal monitoring and personalized health diagnostics, intelligent security systems, and human–machine interaction devices. Efforts are also being made to advance the industrial application of triboelectric fiber materials.

Linchuan Zhao

Shanghai Jiao Tong University, China

Linchuan Zhao is an Assistant Professor at Shanghai Jiao Tong University, with research focusing on the dynamics-based design theory of mechanical energy harvesting and applications of self-powered sensing technologies. A series of innovative studies has been conducted within the framework of “mechanical modulation–mechanical regulation–mechanical intelligence.”Over the past five years, more than 60 papers have been published in leading domestic and international journals, including Science China Technological Sciences, Advanced Energy Materials, and Device, with 29 papers authored as first or corresponding author. More than 20 presentations have been delivered at prestigious international and domestic conferences, including service as session chair on 7 occasions and 17 invited talks. These research outputs have received over 4,000 citations worldwide, including 8 ESI Highly Cited Papers, 2 cover articles, and 3 editor’s choice papers. The Google Scholar H-index is 33, with inclusion in the World’s Top 2% Scientists. A total of 19 Chinese invention patents have been filed or granted. Selection has been achieved for several competitive talent programs, including the CAST Young Talent Support Program, the Shanghai Magnolia Talent Program, and the Shanghai “Super Postdoctoral” Incentive Program. Principal investigator roles have been undertaken for the National Natural Science Foundation of China (Youth Program) and the China Postdoctoral Science Foundation, with key contributions made to the National Defense Science and Technology Innovation Special Zone Project on energy harvesting.Honors and awards include the ASME Best Paper Award in the field of energy harvesting, the Silver Award in the High-End Equipment Manufacturing Innovation Track at the 2nd National Postdoctoral Innovation and Entrepreneurship Competition, and Best Paper Awards at the International Conference on Vibration and Energy Harvesting and Its Applications for two consecutive editions. Editorial service includes Young Editorial Board memberships for Applied Energy, International Journal of Dynamics and Control, and Carbon Neutrality, as well as Guest Editorships for Acta Mechanica Sinica and Micromachines.

Speech Title: Mechanically Intelligent Biomechanical Energy Harvesting: Design Methodologies and Experimental Demonstrations

Abstract: In recent years, significant progress has been achieved in biomechanical energy harvesting; however, critical challenges, including low electrical output, limited adaptability to complex environments, and insufficient system reliability, remain unresolved. To address these issues, this work introduces the concept of mechanically intelligent biomechanical energy harvesting, in which adaptive mechanical structures and mechanisms are employed to regulate external excitations and system dynamics, thereby reducing reliance on conventional electronic control components. Based on this concept, a systematic design methodology tailored for biomechanical energy harvesting is established, providing guidance for structure selection, excitation adaptation, and energy conversion coordination. Following this methodology, several representative prototype systems are developed and experimentally demonstrated, including a cooperative compliant biomechanical energy harvesting vest, a hybrid synergistic-drive energy harvesting backpack, an underwater human-motion energy harvesting belt, and a dual adaptive human-motion energy harvesting and posture-sensing system. The cooperative compliant vest leverages the mechanical adaptability of compliant media to naturally synchronize with human walking and running, enabling effective energy harvesting during negative work phases. The hybrid synergistic-drive backpack employs flexible traction mechanisms to couple inter-limb coordination, allowing energy harvesting from diverse motion patterns such as walking, crawling, jumping, and tumbling. Experimental results demonstrate that the proposed mechanically intelligent design methodologies substantially enhance energy harvesting efficiency, improve adaptability across varied operating conditions, and ensure stable system performance. Overall, this study provides both methodological insights and experimental evidence supporting the development of robust, high-performance biomechanical energy harvesting systems for practical, real-world applications.

Chang Gao

Beijing Jiaotong University, China

Dr. Gao is a Lecturer and Master’s Supervisor at the School of Electronic and Information Engineering, Beijing Jiaotong University. She earned her Ph.D. from Beijing Institute of Technology. Her research primarily focuses on supercapacitors, especially through the processing and modification of carbon-based materials to develop high-performance devices. She has also conducted distinctive explorations into the design and application of integrated micro-devices that combine wireless charging, energy storage, and sensing functions. With extensive interdisciplinary experience spanning microelectronics, materials chemistry, life sciences, and mechanical engineering, Dr. Gao has published multiple papers as the first author, co-first author, or corresponding author in internationally renowned journals such as Nature Communications, Advanced Materials, Nano-Micro Letters, Small, Journal of Materials Chemistry A, and ChemSusChem. She has presided over several longitudinal research projects, including the National Natural Science Foundation of China Youth Program, the Beijing Natural Science Foundation Youth Program, and a China Postdoctoral Foundation project. Additionally, she has participated in numerous national-level initiatives, such as the National Key Research and Development Program and Major National Science and Technology Projects, and has contributed as a key member in applying for three national invention patents.

Speech Title: Wireless Energy Storage-Sensing Integrated System

Abstract: Advances in wireless charging, energy storage, and sensing miniaturized integrated devices have significantly propelled the evolution of integrated electronic architectures and functional development. The presenter's research primarily focuses on constructing flexible integrated systems that combine wireless energy storage and sensing. This is achieved through the design and optimization of composite conductive materials and integrated device structures, utilizing a unified material platform to concurrently fabricate wireless charging coils, micro-supercapacitors, and sensors, thereby realizing flexible, mechanically coherent, planar integrated systems . The developed integrated systems encompass various configurations, such as wireless energy storage-humidity sensing systems for monitoring human respiration and highly compliant wireless charging and storage E-skins for tracking body movements . These systems provide new insights for the advancement of contact-free micro-electronics and flexible miniature robotics, offering promising solutions for continuous health monitoring, human-machine interaction, and soft electronics.

Zhihua Pu

Tianjin University, China

Dr. Zhihua Pu is an Associate Professor at Tianjin University, China. His research focuses on epidermal diagnostic & therapeutic technologies and devices. He has developed a variety of wearable sensors and devices, including wearable epidermal sensors, wearable blood glucose meters, and wearable transdermal drug delivery patches. As the first or corresponding author, he has published 24 papers in high-impact journals such as Nature Communications, Science Advances, and Biosensors & Bioelectronics, along with 19 papers in top international academic conferences including IEEE MEMS, Transducers and IEEE Sensors. He holds 24 authorized Chinese invention patents and has contributed to three book publications. Dr. Pu was honored with the National Outstanding Doctoral Dissertation Award in the field of Measurement Control and Instrumentation and has been selected as a Tianjin Young Science and Technology Talent. He has also served as a Session Chair at the IEEE Sensors 2024 conference, and as a Guest Editor for the journal Micromachines. In addition, he acts as a reviewer for top journals such as Nature Communications, Biosensors & Bioelectronics, and Microsystems & Nanoengineering.

Speech Title: Non-Invasive Continuous Glucose Monitoring based on Reverse Iontophoresis

Abstract: Glucose monitoring is a foundation for diabetes diagnosis and treatment. Currently, the widely used fingertip blood glucose meters rely on invasive measurements, which cause noticeable pain, result in poor patient compliance, and may miss critical glycemic events due to limited sampling frequency. Therefore, dynamic and continuous glucose monitoring is of great importance. Most mainstream continuous glucose monitoring systems on the market implant microsensors subcutaneously to measure glucose levels in interstitial fluid—still an invasive or minimally invasive approach. More importantly, implanted sensors are susceptible to complex physiological environments, leading to a gradual decline in accuracy over time. Extracting interstitial fluid for external measurement may offer a better alternative. Advances in flexible electronics have spurred growing interest in wearable glucose monitoring. Reverse iontophoresis, being non-invasive and amenable to device miniaturization, holds particular promise for wearable devices. However, high-current-density extraction can cause skin irritation, and the accuracy of measurements is easily compromised by factors such as natural sweating. These limitations restrict its clinical applications. Our team has developed a non-invasive continuous glucose monitoring technology that addresses the issues of skin irritation and measurement inaccuracy. We introduced three key strategies: thermal activation to enhance permeability, nanostructure modification to improve sensitivity, and ionic calibration to compensate for individual variability and sweat interference. Based on these innovations, we developed a self-calibrated wearable sensor capable of high-precision dynamic and continuous blood glucose monitoring. This work provides a new direction for the development of non-invasive continuous glucose monitoring devices.

Jiyu Li

Sun Yat-sen University, China

Dr. Jiyu Li is currently a Professor in the School of Biomedical Engineering at Sun Yat-sen University (SYSU). His research group is dedicated to the interdisciplinary exploration of skin-integrated electronics, flexible electronics, and microfluidics, with a focus on advancing technologies for wearable medical monitoring and precision healthcare applications. Dr. Li obtained his Bachelor of Science degree from Sun Yat-sen University in 2014, followed by his Doctor of Philosophy degree from the City University of Hong Kong in 2021. To date, he has authored and co-authored 54 peer-reviewed papers featured in top-tier academic journals including Nature, Science Advances, and Nano Letters, and holds 5 granted patents for innovative technologies in his field. In addition to his academic research, Dr. Li assumes key leadership roles at SYSU as the Director of the Flexible Medical Electronics Team. He also serves as Co-Editor-in-Chief of the Wiley-published monograph Soft Electronics for Diagnosis, Therapy and Interaction, and acts as Guest Editor for the SCI-indexed journal Biosensors. Dr. Li’s contributions have been widely recognized with numerous prestigious honors, including the 2023 Geneva Invention Gold Medal, the First Prize at the 2023 FinTech Olympiad Competition, and the Outstanding Award at the Hong Kong Techathon. He is also a recipient of the National Natural Science Foundation of China (NSFC) Excellent Young Scientist Fund (Overseas), and his technological innovations have been selected for inclusion in the Green Fintech Map.

Speech Title: Long-term Stable Physiological Signal Sensing System

Abstract: In the field of healthcare, achieving long-term stable physiological signal sensing via wearable electronics is crucial, yet improving the thermal and humidity stability of flexible electronic devices remains a core challenge. This study proposes a universal thermal management strategy based on an ultrathin soft radiative cooling interface (USRI), which actively cools skin electronics through dual radiative and non-radiative heat transfer mechanisms, achieving a temperature reduction of over 56°C and significantly enhancing the device’s anti-interference capability for signal monitoring under disturbances like external heat sources. Based on a structure-device integration strategy, this study innovatively develops a 3D sweat directional transport technology. By constructing a gradient hydrophilic substrate, it increases sweat transport speed by 4000 times, optimizes the wearing comfort of ECG sensors, and enables 7-day continuous high-quality precise ECG monitoring. These technologies jointly build a reliable long-term physiological sensing system, providing key support for health monitoring and personalized medicine with broad application prospects.

Yadong Xu

Peking University, China

Dr. Yadong Xu is an assistant professor at Peking University. He was a postdoctoral researcher in Medical Engineering Department at California Institute of Technology before joining PKU. He received B.S. degree in Materials Chemistry from Sichuan University, M.Res. degree in Drug Sciences from University College London, and Ph.D. degree in Chemical Engineering from University of Missouri Columbia. His research focuses on pioneering next-generation bio-integrated electronics to address unmet clinical needs in precision and personalized healthcare. His work establishes a synergistic pipeline that spans from the fundamental design of soft biomaterials and scalable manufacturing to the development of self-powered, multimodal wearable and implantable devices, enhanced by artificial intelligence for advanced data analysis and diagnostics. He is a recipient of the Science Fund Program for Distinguished Young Scholars of the National Natural Science Foundation of China (Overseas). He is an Editorial Board Member of Discover Electronics (Springer Nature). He received Chinese Government Award for Outstanding Self-financed Students Abroad, Outstanding Chemical Engineering PhD Student Award, Raymond White Dissertation Year Fellowship, and has published more than 20 research articles, including first-authored research works at world-known high-profile journal Nature Nanotechnology, Science Advances, Proceedings of National Academy of Sciences of the United States of America, and a book chapter published by Elsevier, with over 1,800 citations and h-index of 16. His research works were highlighted by Nature, Nature Nanotechnology, Matter, and have been extensively disseminated across a number of media outlets.

Speech Title: Strain-resilient bioelectronics for personalized and precision healthcare

Abstract: Strain-resilient bioelectronics are emerging as a foundational platform for personalized and precision healthcare. By conformally integrating with soft, dynamically deforming tissues, these systems enable long-term, continuous monitoring of physiological status. In contrast to conventional stretchable devices, whose electrical and electrochemical readouts often drift under bending, stretching, and torsion, strain-resilient architectures are strategically engineered to maintain signal fidelity under physiologically relevant strains and motions. In this talk, I will present our materials and device-level strategies for creating mechanically adaptive yet electrically and chemically stable biointerfaces, including intrinsically stretchable breathable substrates, highly conductive strain-resilient interconnects, and electrochemical interfaces that decouple mechanical deformation from electrophysiological recording and electrochemical sensing. I will then highlight wearable and implantable platforms for multimodal measurement of electrophysiological signals and molecular biomarkers, including sweat and tissue metabolites related to cardiometabolic fitness, early disease screening, and longitudinal health management.

Nan Wang

Shanghai University, China

Nan Wang is currently a Professor in the School of Microelectronics, Shanghai University, China. He received his B.Eng. (Hons.) and Ph.D. degrees in 2009 and 2013, respectively, both from the Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore. Prior to joining Shanghai University in Nov 2022, he has been working as a scientist and principal investigator (PI) in the Institute of Microelectronics (IME) of the Agency for Science Technology and Research (A*STAR), Singapore, since 2013, where he was attached during his Ph.D. candidature from 2009 to 2013. His current research interest focuses on AlN/AlScN based micro-electro-mechanical system (MEMS) resonating devices, including resonators for timing and gas sensing applications, radio frequency (RF) MEMS acoustic filters, as well as their corresponding fabrication process development. Prof. Wang has over 100 international journals and conference publications, and received sereral awards such as the Best Paper Award for the 5th IEEE International Nanoelectronics Conference (INEC) 2013. He also served as TPC member and session chair for TRANSDUCERS 2021 and IEEE NEMS 2018, and referee for several highly-reputable journals (Nature Communications, Advanced Functional Materials, etc.).

Speech Title: High-Q Piezoelectric MEMS Resonators based on Wave-Interference Anchor Loss Reduction

Abstract: Piezoelectric MEMS resonators are widely used in oscillators, filters, and sensors because of their low motional resistance and CMOS compatibility; however, their performance is often limited by a low quality factor (Q), which directly affects frequency stability, insertion loss, and sensing sensitivity. The Q value reflects energy dissipation per cycle arising from multiple mechanisms, including anchor loss, thermoelastic damping, and air damping, among which anchor loss is generally the dominant factor. Anchor loss originates from mechanical waves leaking from the resonant body into the substrate through the anchors. To address this issue, prior studies have focused on confining acoustic energy within the resonator using techniques such as biconvex or butterfly-shaped geometries and phononic crystal anchors that introduce acoustic bandgaps. This work investigates mechanical wave propagation along anchors and proposes a three-cantilever coupled anchor structure to induce destructive interference, thereby significantly reducing anchor loss and enhancing Q.

Tao Wu

ShanghaiTech University, China

Tao Wu is currently a tenured Associate Professor, Principle Investigator (PI) at School of Information Science and Technology, ShanghaiTech University, Shanghai, China. He received the B.S. degree in Electrical Engineering from Zhejiang University, in 2007, and Ph.D. degrees from the University of California at Los Angeles, in 2011, respectively. Dr. Wu joined ShanghaiTech in 2017 and established Shanghaitech Microsystem And noveL transducer Laboratory (SMALL). Dr. Wu’s research interests include design and fabrication of chip-scale hybrid piezoelectric transducers, advanced fabrication process and CMOS-MEMS microsystem. He has authored or co-authored more than 100 papers in prestigious journals and conferences.

Speech Title: Piezoelectric Thin Film Hybrid Transducers

Abstract: Aluminum nitride (AlN) and aluminum scandium nitride (AlScN) thin film based piezoelectric devices are widely implemented in thin film bulk acoustic resonators (FBAR), piezoelectric micromachined ultrasonic transducers (PMUT), and phononic intergrated circuit (PnIC). High Sc-doped AlScN thin film and deposition process advance to larger electromechanical coupling K2, which enables wideband piezoelectric resonators, ferroelectric tunable devices and transducers. In this talk, we will report recent development on AlScN thin film process, acoustic transducers, such as acoustic delay lines (ADL), photoacoustic imaging (PAI), as well as emerging research fields.

Bo Xu

University of Electronic Science and Technology of China, China

Bo Xu, Associate Research Professor., received the Ph.D. in electrical science and technology from the University of Electronic Science and Technology of China. His research interests have focused on the design and application research of MEMS/NEMS devices based on two-dimensional materials. He has received two best paper awards at international conferences. As the corresponding author or co-author, he has published 19 papers in the following journals such as ACS Nano, Nano Lett., Small., Appl. Phys. Rev. Adv. Sci., Microsyst. Nanoeng.,and international conferences such as IEEE MEMS and IEEE NEMS.

Speech Title: Modal design of anisotropic nanomechanical resonator

Abstract: In this report, we first establishes a device model based on a two-dimensional (2D) nanoelectromechanical resonator, and analyze the effects from the device configuration, geometric parameters and mechanics of materials. We then elaborates on the advantages and mechanisms of mechanical anisotropic materials in device modal design and control, and describes the evolutionary laws of device vibration morphology with changes in Young's modulus. Following that, the report will briefly introduce the spectroscopic microscopy imaging technology which is highly significant in anisotropic nanomechanical resonator modal research, conduct research on a rhenium disulfide resonator by utilizing this technology combined with device basic theories, extract the material's mechanical anisotropic parameters, and investigate the control effects of gate pressure modulation and internal stress on device modes.

Yansong Yang

UHong Kong University of Science and Technology, China

Yansong Yang is currently an Assistant Professor in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology, where he founded the Radio Frequency Microsystem (RFMY) Lab. His lab focuses on multi-physics microsystem technologies that integrate electrical, mechanical, and acoustic domains to enable single-chip platforms for signal processing, sensing, and computation, as well as AI-driven design and manufacturing of next-generation ultrasonic and radio-frequency microelectromechanical systems (ultrasonic/RF MEMS). He has been awarded the 2023 Early Career Award from the IEEE Electron Devices Society (EDS) and the 2025 IEEE Ultrasonics Early Career Investigator Award from the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC). He has received the 2nd Place Best Paper Award at the 2018 IEEE International Microwave Symposium and the Best Paper Award at the 2019 & 2025 IEEE International Ultrasonics Symposium. He was also a finalist for the Best Paper Award at the 2018 IEEE International Frequency Control Symposium and the Advanced Practices Paper Competition Award at the 2020 IEEE International Microwave Symposium. Additionally, he received the 2019 P. D. Coleman Graduate Research Award from the University of Illinois at Urbana-Champaign (UIUC) and the 2022 Microwave Prize from the IEEE Microwave Theory and Techniques Society (MTT-S). He is currently serving as the Technical Committee Chair for Microelectromechanical Systems in IEEE EDS, a Technical Committee Member for RF MEMS and Microwave Acoustics in IEEE MTT-S, and a Technical Committee Member for the IEEE International Conference on Micro Electro Mechanical Systems. Additionally, he serves as an Editor for IEEE Transactions on Electron Devices and an Associate Editor for IEEE Electron Devices Magazine.

Speech Title: Piezoelectric Acoustic Waves Empower Ultrasonic and RF Applications

Abstract: Piezoelectric acoustic nano/microelectromechanical system (MEMS) devices, driven by the flourishing advancement of micromachining industries, have undergone a significant transformation in functional domains, contributing more physical domains beyond electronics and mechanics. These miniaturized devices create versatile platforms that broaden the acoustic wave spectrum from MHz to mmWave frequencies. The renewed interest in this broad spectrum has spurred the development of innovative techniques, including ultrasonic sensing transducers and ultra-compact radio-frequency spectral processing components, shaped by their architecture and frequency characteristics. The ability of acoustic MEMS devices to launch, manipulate, and utilize acoustic waves has facilitated the transition of scientific concepts into commercial consumer electronics. This talk will introduce a series of acoustic wave platforms based on piezoelectric thin films and unique fabrication technologies to cover an unprecedentedly wide frequency range with more efficient transduction.

Chengjie Zuo

University of Science and Technology of China, China

To be updated.

Speech Title: Next-Generation RF Filter Technologies for 6G and Wi-Fi 8

Abstract: This talk will first give an overview on advanced chip-level RF filter technologies that have been developed and commercialized during the deployment of 3G, 4G and 5G wireless communications. These include the conventional SAW, BAW/FBAR, LTCC filters, as well as the emerging IHP-SAW, XBAR and Hybrid technologies. To further enhance filter performance for 6G and Wi-Fi 8 applications, two directions of research have been pursued on next-generation acoustic resonators at the SRS lab of USTC. Lamb wave resonators based on suspended LiNbO3 thin film have been extensively studied to push the operating frequency up to mmWave bands with high performance. On the other hand, a bunch of new SAW modes (including CS-SAW, LS-SAW, and SV-SAW) have been proposed and implemented for the first time to achieve unprecedentedly high electromechanical coupling coefficient (k2 > 42%) at cmWave frequencies.

Qingkun Liu

Shanghai Jiao Tong University, China

Liu Qingkun is currently an Associate Professor at the School of Integrated Circuits, Shanghai Jiao Tong University. He earned his Bachelor’s degree from the University of Electronic Science and Technology of China and his Ph.D. from Zhejiang University. He has led several national research projects, including the National Key R&D Program and the projects funded by NSF of China. His primary research focuses on micro/nanorobotics, with multiple publications as first or corresponding author in top-tier journals such as Nature, Nature Materials, Science Robotics, etc. He also serves as an editorial board member for journals including Cyborg and Bionic Systems and SmartBot.

Speech Title: Electricially Actuated Origami Microrobots

Abstract: Micro/nano-origami technology enables the scalable fabrication of 3D micro-robots using planar processing techniques, demonstrating significant potential in fields such as biological micromanipulation. In this talk, I will first introduce a new type of micro-actuator based on electrochemical reaction. Combined with origami design principles, we developed a highly integrated micro-manipulation robot system with multi-modal motion capabilities. Then I will talk about the typical applications of the micro-robots, such as cell manipulation, conformal sensing, etc. In the future, this technological platform holds broad prospects in precision medicine applications, including minimally invasive surgery and targeted drug delivery.

Jizhai Cui

Fudan University, China

Jizhai Cui is a tenure-track associate professor at the International Institute for Intelligent Nanorobots and Nanosystems, College of Intelligent Robotics and Advanced Manufacturing, Fudan University. He obtained his Ph.D. in mechanical engineering from the University of California, Los Angeles, in 2016 and subsequently held postdoctoral appointments in the Department of Materials at ETH Zurich and the Paul Scherrer Institute. His research interests include intelligent micro- and nanorobots, origami/kirigami-inspired metamaterials, and nanomagnetic devices.

Speech Title: Field-Programmable Shape Morphing in Microrobots

Abstract: Shape morphing is a defining capability for microrobots, enabling adaptive propulsion, controllable force generation, and reconfigurable functional interfaces in heterogeneous microenvironments. However, in many existing systems, morphing behaviors are largely hard-coded into geometry or material layout during fabrication, which restricts functional diversity and limits the ability to switch roles on demand. This talk integrates our recent studies to show how programmable and reprogrammable shape morphing can be elevated to a controllable control layer for microrobots. I will first describe nanomagnetic encoding of origami-like micromachines, where arrays of single-domain nanomagnets with engineered switching fields are addressed by prescribed field sequences to store multiple morphing instructions on a single device. This approach enables one micromachine to transform into distinct target configurations and supports complex, multi-gait behaviors in modular microrobots. I will then introduce a purely magnetic, in-situ reprogramming strategy using coercivity-gradient nickel nanowire arrays embedded in SU-8 panels and linked by a soft hinge. By combining nanowires with distinct coercivities and tuning the field amplitude and ramp time, a single microrobot can deterministically switch its magnetization states and access multiple deformation/locomotion modes with millisecond-scale mode transitions. Next, I will address terrestrial microrobot locomotion, where fluctuating friction often undermines propulsion asymmetry. Using laser-actuated VO₂ nanomembranes with hysteresis, we realize nonreciprocal shape morphing that alternately modulates contact areas to generate stable friction asymmetry across diverse surfaces, and reinforcement learning further enables autonomous trajectory following. Finally, I will present waveguide microactuators self-rolled around an optical fiber taper, providing fast, laser-addressable bending for rapid capture and release of microorganisms. Together, these advances define transferable actuation primitives for reconfigurable microrobots toward biomedical micromanipulation, microassembly, and microsystem integration.

Zhan Shi

Westlake University, China

Zhan SHI received the Ph.D. degree in Dynamics and Control from Zhejiang University in 2024. He is currently a postdoctoral researcher at Westlake University. His research focuses on nonlinear dynamics in micro- and nano-electromechanical systems (M/NEMS) and acoustically driven robotic systems. He has published first-author papers in leading journals, including Nature and Science Advances, and has received several awards at major international conferences. He also serves as a reviewer for journals such as Science Advances.

Speech Title: Synchronization Mechanisms and Cross-Scale Applications in Nonlinear Micro-Oscillators

Abstract: Synchronization in nonlinear micro- and nano-oscillators provides a powerful platform for uncovering complex coupled dynamics and achieving high-precision control in M/NEMS. This talk focuses on the physical mechanisms and regulation strategies of synchronization in nonlinear oscillatory systems. In particular, this talk highlights how nonlinear effects can reduce synchronization time, broaden synchronization bandwidth, and enhance frequency stability, and elucidates the underlying mechanisms through dynamical modeling and theoretical analysis. These results offer theoretical insights and design inspiration for high-performance sensing, signal processing, and robust operation of microscale systems. In addition, the talk explores cross-scale applications of synchronized motion in acoustic robotic systems.

Xiang Zhao

Southwest Petroleum University, China

Professor Zhao Xiang is a distinguished Professor and Doctoral Supervisor at Southwest Petroleum University, recognized as an Overseas High-Level Talent of Sichuan Province. He holds a Ph.D. in Engineering from Southwest Jiaotong University, trained under Professors Li Xiangyu and Li Yinghui. His research focuses on structural vibration control, dynamic behaviors of cracked systems, energy harvesting, and vortex-induced vibrations. He serves as Secretary-General of the Sichuan Provincial Committee for Dynamics and a Senior Member of the Chinese Society of Vibration Engineering. Professor Zhao has led three National Natural Science Foundation of China projects (including two General Projects), two key laboratory open projects, and over ten petroleum industry projects with total funding exceeding RMB 6 million. His research has yielded 56 publications, including 24 first-author or corresponding author SCI papers, 13 Top journal articles, and two ESI Highly Cited Hot Papers. His vibration mitigation methods have been acknowledged by Academicians Zhu Weiqiu and Wen Bangchun as providing critical guidance for vibration control, and by ASME Academician Liao Weixin for advancing precise modeling of coupled systems. As Course Leader for Structural Vibration and Control, he authored a 3A-press textbook and led four university-level teaching reforms. He received the China Vibration Engineering Society Science & Technology Award (Second Prize, lead recipient) and the Southwest Petroleum University Graduate Teaching Achievement Award (Third Prize, lead recipient). He also serves as an Editorial Board Member for International Journal of Dynamic and Control.

Speech Title: A closed-form solution of forced vibration of a micro/nano curved-beam systems by means of the Green’s function method

Abstract: Micro/nano curved-beam systems (MNCBSs) are increasingly critical in microelectromechanical systems (MEMS) for advanced applications such as high-sensitivity resonators, accelerometers, and nanoscale sensors, where precise vibration and noise suppression are essential for device performance and stability at the micro/nano scale. Compared to straight micro/nano beam systems, MNCBSs exhibit superior efficiency in vibration control due to their inherent geometric flexibility, which is particularly advantageous for enhancing the signal-to-noise ratio and operational reliability of MEMS devices. This paper presents a closed-form solution for the steady-state forced vibration of an MNCBS, utilizing the classical Euler-Bernoulli beam model adapted for microscale dynamics. Green's function and Laplace transform methods are systematically applied to derive the fundamental solution, which serves as a general framework applicable to arbitrary boundary conditions, a key requirement for MEMS design flexibility. Numerical results are rigorously validated against established reference solutions, confirming the accuracy and robustness of the proposed approach. Parametric studies investigate the influence of critical geometric parameters (e.g., radii of curvature, beam thickness) and physical properties (e.g., material density, elastic modulus) on vibration responses, with particular emphasis on the interplay between the elastic layer stiffness and the MNCBS dynamics. Results demonstrate that the MNCBS can be seamlessly degenerated into a straight micro/nano double-beam system by setting the radii of curvature to infinity, or reduced to a hybrid configuration where one beam is straight and the other curved—both scenarios offering valuable design insights for optimizing MEMS structures with tailored vibration characteristics. This work provides a foundational analytical tool for the development of next-generation micro/nano-scale vibrational control systems in MEMS.

Yisen Wang

Jiangsu University, China

Yisen Wang is a Youth Researcher at the School of Physical Science and Technology, Lanzhou University, and a master’s supervisor. He obtained his Ph.D. in Theoretical Physics from Lanzhou University in 2018 under Prof. Liang Huang, following a B.S. degree from China University of Mining and Technology in 2012. After completing his doctorate, he conducted faculty postdoctoral research at the School of Mathematics and Statistics, Lanzhou University. His research interests lie in nonequilibrium statistical physics and nonlinear dynamics of nanoscale systems, with an emphasis on thermal transport and collective dynamics. He is a member of the Organizing Committee of the Workshop on Thermal Transport, and a referee for journals such as the Physical Review series, New Journal of Physics, and Chinese Physics B. He currently leads an NSFC General Program (2026–2029) and has completed multiple nationally and provincially funded projects, while participating in several major collaborative research and industry-commissioned projects.

Speech Title: Parity mixing transition by in graphene nanoresonators

Abstract: Nanomechanical resonators have become central elements in applications ranging from ultra-sensitive sensing to signal processing, yet their ultimate performance is set by intrinsic relaxation arising from nonlinear intermodal couplings. Most control schemes operate in the spectral domain, e.g., adjusting mode frequencies to activate internal-resonance channels. In crystalline devices, however, couplings are further constrained by symmetry-imposed selection rules, and their impact on energy relaxation landscape of such devices remains largely unexplored. Here, we demonstrate a sharp transition in intrinsic relaxation of symmetric circular graphene resonators, manifested as a parity-mixing transition where the time for energy to equilibrate between even- and odd-parity sectors increases by about an order of magnitude at a critical energy, sticking out from the typical monotonic decrease. This anomaly is driven by a qualitative restructuring of the inter-parity energy transfer channels mediated by parametric resonance. Finally, we propose a practical strain-tuning scheme to shift the critical energy threshold and thereby control the transition. These results show that symmetry provides an effective handle to control intrinsic dissipation at the nanoscale and to realize nanomechanical resonator devices with programmable intermodal energy flow.

Bo Zhang

Southwest Jiaotong University, China

Bo ZHANG is currently an associate professor in the School of Mechanics and Aerospace Engineering at Southwest Jiaotong University. His main research areas include vibration, buckling, and rigid-flexible coupling dynamics of micro/nano-scale structures, as well as computational mechanics theories at the micro/nano scale. Since 2011, he has been dedicated to cross-scale mechanics of micro/nano structures, focusing on theoretical modeling and numerical method innovation within the framework of couple stress/strain gradient theory. He has also participated in experimental studies on scale effects, such as torsion of micron-scale metal wires and bending of micro-cantilevers. To date, he has published over 80 academic papers. Representative works have appeared in leading international journals including Phys. Rev. Lett., Acta Mater., J. Mech. Phys. Solids, Int. J. Eng. Sci., Int. J. Plast., Int. J. Mech. Sci., Int. J. Solids Struct., Compos. Struct., Compos. Part B Eng., Thin-Walled Struct., and Aerosp. Sci. Technol., with a total citation count exceeding 2,700.

Speech Title: Experimental investigation and theoretical modelling on nonlinear dynamics of cantilevered microbeams

Abstract: The nonlinear vibration of cantilever nickel microbeams with thickness in micron level is investigated through experiment and theory. A non-contact dynamic vibration measurement system is built to test the fundamental linear frequency and the nonlinear amplitude-frequency curves near the primary resonance. Experimental result reveals the nonlinear amplitude-frequency curves exhibit a marked weak softening-type behavior as well as hysteresis behavior. To elucidate the experimental observations, a modified couple stress-based Euler-Bernoulli beam model incorporating geometric and inertial nonlinearities is established. The derived partial differential equation of motion is converted into a set of ordinary differential equations (ODEs) by employing the Galerkin method. And then, the multi-dimensional Lindstedt-Poincaré (L-P) method is applied to solve these ODEs. By comparing these analytical and experimental results, a good agreement is observed. Besides, a p-version Ritz method is combined with the iteration algorithm to reveal the close similarity of the beam and plate models and to further demonstrate the size-dependency in the nonlinear regime. Meanwhile the size-dependency in nonlinear regime is demonstrated. The effects of different order nonlinear terms, length scale parameter and damping coefficients on the system are investigated. It is illustrated that the period-doubling bifurcation occurs when imposing sufficiently large excitations, and it turns into chaos with increasing the excitations continuously.

Ming Lyu

Inner Mongolia University, China

Ming Lyu received a B.S. Degree in vehicle engineering in 2014 from Guizhou University, Guizhou, China. The M. S degrees in automobile engineering in 2018 from Northeastern University, Shenyang, China. In 2022, he graduated from Dalian University of Technology with a Ph.D in Automotive Engineering. He is now a lecturer at the Transportation Institute at Inner Mongolia University, his research interests include modal localization, nonlinear dynamics and sensor design.

Speech Title: Design and modeling of a MEMS accelerometer based on coupled nonlinear resonators under electrostatic actuation

Abstract: Microelectromechanical system (MEMS) accelerometers, with advantages of miniaturization, intelligence, low power consumption, and scalable fabrication, are indispensable in aerospace, inertial navigation, biomedical, and consumer electronics. In this paper, a novel mode localization accelerometer with electrostatic coupled resonators is proposed, two proof mass are connected to their respective resonators via lever amplification mechanisms, with the two resonators coupled electrostatic. By combining a symmetric lever–resonator topology with electrostatic modulation, the device converts inertial loading into stiffness perturbations, inducing energy redistribution and amplitude localization. We demonstrate that by adjusting the drive voltage, the coupled resonator exhibits both linear and nonlinear behavior. And then to investigated the sensitivity under different vibration conditions, and experimental results show that sensitivity decreases during nonlinear vibration.

Fan Yang

Dynamic Precision Micro&Nano Sensing Technology Research Institute, Chongqing, China

Fan Yang, PhD, Researcher, Chief Scientist in Dynamic Precision Micro&Nano Sensing Technology Research Institute, Chongqing, China. He graduated as Dr. rer. nat. (Phyiscs) at the University of Konstanz in Germany in 2020. He is focusing on the research of strongly driven nonlinear dynamics, fluctuations in multi-dimensional advanced MEMS/NEMS, 2D material integrated MEMS/NEMS devices, and the R&D of high precision optical vibrometry.

Speech Title: Nonlinear behavior of 2D material empowered MEMS/NEMS silicon based devices

Abstract: Integration of graphene in silicon-based micro-/nanoelectromechanical systems (MEMS/NEMS) marries the robustness of silicon-based materials with the exceptional physical properties of graphene, drastically enhancing the system’s regulation performance which now is key for many advanced applications in nanotechnology. Here, we demonstrate a powerful on-chip integration principle consisting of a hybrid graphene/silicon nitride membrane with metallic leads on top that enables an extremely large static and dynamic parameter regulation. The flexible combination of static and AC voltage is applied to localize the electrothermomechanical (ETM) effect, achieving ultra-wide frequency tuning, deformation (buckling transition), regulation of the mechanical properties, and exciting the resonator vibrating even far beyond its linear regime. It proves that the scheme provides a compact integrated system possessing mechanical robustness, high controllability, and fast response. It not only expands the limit of the application range of MEMS/NEMS devices, but also enables their further miniaturization.

Hongxiang Han

Jilin University, China

Hongxiang Han received the B.E. and D.E. degree in mechanical engineering from Jilin University, Changchun, China, in 2018 and 2025, respectively. He is currently working as an assistant researcher at Micro Engineering and Micro Systems Laboratory of Jilin University (JML), Changchun, China. His current research concentrates on resonant galvanometer and its engineering applications.

Speech Title: Passive Noninvasive Resonant Galvanometer for WSN: Research Status, Forefront and Challenges

Abstract: Resonant galvanometer is a kind of current sensor based on the magnetic effect of electric current, which converts current parameters into changes in the resonant characteristics (such as frequency or amplitude) of the sensing unit. It usually consists of three parts: a magnetic sensing structure, a resonant structure, and a transduction structure. Due to the advantages of non invasiveness, strong anti-interference ability, low overall power consumption, and high stability, it has strong applicability in real-time monitoring of current in various devices. In recent years, with a series of new requirements for sensor technology such as integration, intelligence, and networking in the era of the Internet of Things, resonant galvanometers based on amplitude response have shown great potential for development in three-phase current monitoring scenarios such as smart grid transformation, wireless sensor network construction, and intelligent device monitoring, due to their ease of integration with Micro Electro Mechanical System (MEMS) technology to achieve miniaturization. This report will focus on exploring the basic principles and improving performance indicators of resonant current sensors, and consider its application forefront and challenges for wireless sensor networks.

Changhong Cao

McGill University, Canada

Changhong Cao is a professor in the Department of Electrical Engineering and Computer Science at McGill University. His research focuses on microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS), with over 200 peer-reviewed publications and 15 patents. He has led multiple international research projects and received numerous awards for his contributions to the field.

Speech Title: Micro DIW 3D printing and necroprinting

Abstract: This talk presents two complementary platforms addressing persistent challenges in DIW 3D printing. 3D Necroprinting explores the use of biological structures—mosquito proboscises—as functional printing nozzles. The proboscis achieves ~20 micrometer printing resolution, approaching capabilities typically reserved for expensive specialized equipment. We characterize its mechanical performance, establish operational guidelines, and demonstrate feasibility for bioprinting applications with encouraging cell viability results. Binder Spraying Additive Manufacturing (BSAM) enables support-free printing of complex geometries through rapid interfacial polymerization. By combining controlled gelation with instantaneous in-situ polymer formation, we fabricate freestanding structures—overhangs, internal voids, and intricate lattices—without auxiliary supports. The platform accommodates diverse materials: organic, ceramic, and metal nanocomposites with tunable mechanical properties. Together, these approaches demonstrate how mechanics-informed design and chemistry can address practical manufacturing limitations.

Guosheng Tang

Guangzhou Medical University, China

Guosheng Tang is a professor and doctoral supervisor at Guangzhou Medical University. His research primarily focuses on the preparation of microgels using 3D bioprinting and novel microfluidic technology for cell delivery, regenerative medicine, and other related fields. In 2021, he was appointed as a full-time "Nanshan Distinguished Professor" at Guangzhou Medical University under the Guangdong Provincial High-Level University Development Program. He also serves as a committee member of the Bio-Manufacturing Engineering Branch of the Chinese Mechanical Engineering Society, a member of the Vascular Branch of the Chinese Society for Anatomy, and a committee member of the 3D Bioprinting and Tissue Regeneration Branch of the Guangdong Society of Biomedical Engineering. Additionally, he is a young editorial board member for journals such as Nano-Micro Letters and Exploration. He has published over 20 SCI papers as the first or corresponding author in journals such as Nature Microbiology, PNAS, Nature Communications (three times), and Advanced Materials (twice), among others. His publications have received more than 4,000 citations, an h-index of 30, a cumulative impact factor exceeding 600, and an average impact factor of 15 or more. Five of his papers have been recognized as ESI Highly Cited Papers (in the Top 1% globally). He has also received honors, including the Jiangsu Provincial Government Scholarship for Overseas Studies.

Speech Title: Microgels for Biomedical Applications

Abstract: While traditional bulk hydrogels have been extensively used in biomedicine, their utility as cell or therapeutic agents remains limited. Their macroscopic size often requires surgical implantation, and their dense nanostructure restricts cellular functions. In contrast, microgels—micron-scale hydrogel particles—offer notable advantages including a high specific surface area, enhanced mass transport, and the capacity for minimally invasive delivery. However, the broader application of microgels has been hindered by conventional fabrication methods, which frequently rely on harsh conditions such as high voltage, organic solvents, or surfactants. To overcome these limitations, we have developed a series of mild and biocompatible fabrication strategies based on gas-shearing and aqueous two-phase systems to produce highly monodisperse microgels. We further demonstrate the significant potential of these microgels in facilitating tissue regeneration and treating intestinal diseases. Our results indicate that these microgels represent a promising and versatile platform for advanced therapeutic delivery and regenerative medicine.

Wanlu Li

Shanghai Jiao Tong University, China

Wanlu Li is a tenured-track Assistant Professor at the School of Biomedical Engineering, Shanghai Jiao Tong University. She received her Ph.D. in Biomedical Engineering from Shanghai Jiao Tong University and conducted visiting doctoral training and postdoctoral research at Harvard Medical School from 2018 to 2022. Her research focuses on developing human-relevant bioengineered platforms for studying cerebrovascular diseases and neural tissue regeneration, with particular emphasis on advanced 3D bioprinting and neurovascular modeling. She has published as first or corresponding author in leading journals, including Cell, Nature Communications, and Advanced Materials. Her work has been recognized by several international awards, including the International Stroke Conference Young Investigator Award (2019) and the International Society for Stem Cell Research (ISSCR) Outstanding Research Award (2020). She currently serves on the young editorial boards of Aging and Disease and Brain-X.

Speech Title: Mechanically Programmable Bioprinting Enables Soft, Perfusable Human Tissues for Neurovascular Disease Modeling

Abstract: Digital light processing (DLP) bioprinting offers exceptional spatial resolution and geometric control, yet the fabrication of physiologically soft human tissues remains constrained by the trade-off between bioink printability and biologically relevant mechanical properties. Here, we present a mechanically programmable bioprinting strategy based on post-printing molecular cleavage, enabling the decoupling of printing fidelity from final tissue mechanics. Hyaluronic acid methacrylate (HAMA) is incorporated into gelatin methacryloyl bioinks to support high-resolution printing and is subsequently selectively degraded via enzymatic digestion, yielding tissue-matched softness while preserving architectural accuracy. Using this approach, we generate perfusable 3D tissues spanning a broad stiffness range, including brain-mimetic constructs with elastic moduli as low as ~1.3 kPa. Mechanical tuning significantly improves cell morphology, cytoskeletal organization, and functional maturation across multiple human cell types. Leveraging this platform, we further engineer a human 3D neurovascular unit (NVU)-on-a-chip featuring perfusable, branching vascular networks inspired by patient-specific cerebrovascular geometries. The system supports sustained perfusion and direct neurovascular interactions. By inducing localized thrombosis within a single vascular branch, we recapitulate unilateral focal cerebral ischemia in vitro and enable quantitative evaluation of thrombolytic therapies under physiologically relevant flow conditions. Collectively, this work establishes mechanically programmable bioprinting as a versatile strategy for engineering soft, perfusable human tissues and advancing human-relevant neurovascular disease models.

Mian Wang

Tongji University, China

Mian Wang is a Professor at the School of Life Sciences and Technology, Tongji University. His research focuses on the development of functional biomimetic tissues, organ-on-a-chip platforms, and in vitro models of maternal-fetal interactions. He was selected for the Shanghai Overseas High-Level Talent Program and the Pujiang Talent Program in 2022. Dr. Wang has led multiple competitive research projects, including a key subproject of the National Key Research and Development Program of China, as well as National Natural Science Foundation of China (NSFC) Programs. He has published over 40 SCI-indexed papers, including first or corresponding author publications in Cell, Nature Communications (2 articles), Science Advances, Advanced Materials (2 articles), and Advanced Functional Materials.

Speech Title: Engineering Cell-Dense and Functional Human Tissues

Abstract: Bioprinting has emerged as a powerful approach for engineering functional living tissues; however, most hydrogel-based strategies remain limited by low cell densities, which restrict cell-cell interactions and compromise tissue-level functionality. Here, we introduce a fundamentally different bioprinting paradigm in which living cells at physiological densities are directly used as bioinks. By chemically modifying cell membranes with photo-crosslinkable acrylate groups, we enable photoactivated, layer-by-layer bioprinting of purely cellular constructs using digital light processing (DLP). This CeLl-dense bIoiNK (CLINK) strategy allows rapid fabrication of tissue constructs with ultrahigh cell densities (~109 cells mL-1), closely resembling native cellular architectures. The high cellularity and material-free nature of CLINK support robust tissue functions, enabling the generation of advanced biological models, including functional neural circuits and rhythmically contracting mini-cardiac tissues derived entirely from stem cells. Moreover, CLINK-fabricated implants exhibit the capacity to autonomously sense, adapt to, and integrate with host tissues, promoting tissue repair and regeneration. Together, this work establishes cellular bioink–based bioprinting as a powerful platform for constructing cell-dense, functional human tissues and expands the design space of tissue biofabrication toward more physiologically relevant architectures.

Jiaqi Liu

City University of Hong Kong, China

Prof. Jiaqi Liu is a Presidential Assistant Professor in the Department of Mechanical Engineering at City University of Hong Kong. Before joining CityUHK in 2025, she was a postdoctoral scholar in the Querrey Simpson Institute for Bioelectronics at Northwestern University, working with Prof. John A. Rogers. She received her Ph.D. in Materials Science and Engineering from University of Pennsylvania under the supervision of Prof. Shu Yang in 2021. She obtained her B.S. in Materials Science from Fudan University in 2016. Her research focuses on leveraging functional soft materials, advanced manufacturing, ultrasound technology, and bioengineering approaches to advance multifunctional bio-integrated devices for measuring biological and biophysical signals, providing target modulation, and programming soft robotic actuators towards biomedical and healthcare applications. She has been selected as a Protostar by the weekly newsletter of Science magazine and has been awarded the Sidney J. Stein Prize and the Geoffrey Belton Graduate Fellowship by the University of Pennsylvania.

Speech Title: Deep-tissue Chemical Sensing with Ultrasound

Abstract: Soft, bio-integrated devices exhibit the ability to collect physiological signals and offer therapeutic functions, posing a substantial impact on our understanding of biology and paving the way for precision medicine. With the assistance of advanced ultrasound technology, the innovative integration holds immense promise for sensing in deep tissues and complex anatomical structures that are otherwise difficult to approach. In this talk, I will highlight our recent advances in bioresorbable, ultrasound-readable sensors that enable real-time monitoring of chemically or physically specific parameters in deep tissues using ultrasound instruments. Specifically, this bio-integrated device incorporates symmetrically distributed metal discs embedded within a soft, pH-responsive hydrogel matrix, where the metal discs generate strong imaging contrast to allow ultrasound-based measurements of local pH variation. The envisioned clinical use is in early assessments of anastomotic leaks that can occur following gastrointestinal surgeries, where bioresorption after a recovery period bypasses the need for surgical extraction. I will conclude by discussing opportunities in leveraging bio-integrated devices and ultrasound to measure biosignals and especially biochemical signals to decipher biological systems and improve healthcare.

Yan Wang

Guangdong Technion-Israel Institute of Technology, China

Dr. Yan Wang is currently a tenured Associate Professor at Guangdong Technion. She received her Ph.D. in Chemical Engineering from Monash University in 2018 and completed postdoctoral training in the Department of Electrical and Electronic Engineering at the University of Tokyo in 2021. In soft electronics field, she has published over 70 peer-reviewed articles, including more than 40 as first or corresponding author, in leading journals such as Science Advances (3 papers), Nature Communications, Proceedings of the National Academy of Sciences, Chemical Society Reviews, and Advanced Materials, with an h-index of 36 and five ESI Highly Cited Papers. And she is also an inventor on multiple patents filed in Australia, Japan, the United States, and China. Her work has earned several awards, including Stanford University & Elsevier Scopus TOP 2% Scientists (2021–2025), the Guangdong Province Major Talent Program (Youth), ACS Publications Award for Women Scientists in Surface and Interface Science (2025), the JMCC Emerging Investigators Award (2025), the Nanoscale Emerging Investigators Award (2023), and the 2018 Outstanding Self-financed Students Abroad Award. Her research achievements have attracted international media attention, including coverage by CNN, Herald Sun (Australia), and Nikkan Kogyo Shimbun (Japan). Her research interests include electronic skins, hydrogel bioelectronics, human-machine interfaces, and diagnostics and therapeutics.

Speech Title: Electronic skins for continuous health monitoring

Abstract: One limitation of commercial wearables, such as smartwatches and fitness bands, is their inability to establish conformable contact with human skin due to their rigid form factors, which restrict their monitoring capabilities. In contrast, soft bioelectronics offer a promising platform for personalized health care, thanks to their unique attributes, including thinness, lightweight design, excellent biocompatibility, mechanical robustness, and superior skin conformability. Permeable, skin-mountable electronics designed for long-term use have emerged as powerful tools for early disease prevention, screening, diagnosis, and treatment. Dr. Wang’s research primarily focuses on the development of unconventional soft materials for advanced electronic skins. In today’s presentation, Dr. Wang will discuss high-performance electronic skins created using intrinsically stretchable materials, such as nanomeshes and hydrogels, for continuous health monitoring. These innovations enable precise measurement of various electrophysiological signals without compromising comfort, accuracy, or stability, supporting long-term health monitoring applications.

Cui Ye

Shanghai Jiao Tong University, China

Dr. Cui Ye completed her postdoctoral training at the California Institute of Technology (Caltech) in early 2025 and subsequently joined Shanghai Jiao Tong University as an independent Principal Investigator, doctoral supervisor, and discipline leader, where she leads the Flexible Sensing and Proactive Health research group. Her research centers on flexible electronic sensing technologies, with particular emphasis on wearable biosensors, noninvasive sweat monitoring, electrochemical analysis, microfluidics, and personalized digital health management. Dr. Ye has published over 50 peer-reviewed articles, receiving more than 4,150 citations with an h-index of 31. As a first or corresponding author, she has authored 22 publications in leading journals including Nature Nanotechnology, Nature Materials, and Chemical Society Reviews, with her work highlighted by Nature and other major scientific outlets. She is a recipient of China’s National High-Level Young Talent Program and the Shanghai Magnolia Young Talent Program. Dr. Ye has led three national and provincial research projects and holds four authorized Chinese patents and one international patent, which has been licensed and supported by external funding. She also received the MINE Distinguished Young Scientist Award. She currently serves as a Scientific Advisor to Persperity Health and as a Youth Editorial Board Member of The Innovation, Med-X, and Soft Science.

Speech Title: Wearable Ultrasensitive Electronic Sensing for Proactive Health Management

Abstract: With the deepening of national digital transformation and the “Healthy China” initiative, non-invasive wearable sensing technologies are emerging as a research frontier in the field of health management. Ultra-sensitive wearable sweat analysis platforms that integrate flexible electronics, microfluidics, and electrochemical analysis enable real-time and continuous monitoring of physiological and metabolic signals, offering new opportunities for early disease screening, personalized diagnosis, and proactive health management. Sweat, as a biofluid rich in diverse biomarkers, reflects key physiological parameters such as metabolic status and hormone levels. Its non-invasive and continuously accessible nature makes it especially valuable for the digital and intelligent management of women’s health. For instance, fluctuations in female hormone levels are closely associated with fertility, menstrual disorders, and menopause, and are critical for monitoring, intervention, and therapeutic evaluation in conditions such as infertility, polycystic ovary syndrome (PCOS), and menopausal transition. This report focuses on the precise detection of ultra-low concentration biomarkers in sweat, introducing the development of high-performance sweat sensing platforms from the perspectives of molecular recognition mechanisms, microfluidic chip design, and wearable system integration. It systematically reviews recent advances in sensor sensitivity, selectivity, and stability, and highlights strategies to address challenges such as signal interference, miniaturization, and long-term wearability. Furthermore, it explores the promising applications of these platforms in the digital and intelligent management of women’s health, particularly in scenarios requiring continuous, real-time hormone monitoring for reproductive health tracking, menstrual cycle analysis, early diagnosis of endocrine disorders, and personalized intervention.

Dengfeng Li

Shanghai Jiao Tong University, China

Li Dengfeng is an Associate Professor and a National-level Youth Talent at the Institute of Robotics, School of Mechanical Engineering, Shanghai Jiao Tong University. His research primarily focuses on robotic haptic feedback technologies, soft robotics, and wearable flexible electronics. He received his B.E. from Xi’an Jiaotong University, M.E. from Tsinghua University, and Ph.D. from City University of Hong Kong. He subsequently conducted postdoctoral research at City University of Hong Kong and Tampere University in Finland. His research outcomes have been published in prestigious journals such as Science Advances and Nature Communications as first author or corresponding author (including co-corresponding). He holds five granted invention patents from China and the United States and has received multiple awards, including the Gold Medal at the Geneva International Exhibition of Inventions, the Gold Medal at the Shanghai International Invention Exhibition, and the Second Prize of the China Invention Innovation and Entrepreneurship Award.

Speech Title: Wireless Actuation and Sensing Technologies for Soft Robotics

Abstract: Soft robots, owing to their exceptional compliance and tissue-friendly properties, are indispensable for applications in extreme environments such as inside the human body or confined spaces. A central technical challenge in this field is achieving fully wireless actuation and sensing for soft robots operating within enclosed environments. This presentation will introduce how flexible electronics technologies such as radio frequency power delivery and near field communication（NFC）based sensing can be leveraged to realize wireless design and development of soft robots. For pipeline inspection in confined settings, we developed a highly integrated soft robot capable of wirelessly and passively monitoring multiple parameters including temperature, chemical ions and SARS-CoV-2 biomarkers. For biomedical applications, we engineered a miniaturized soft robot for deployment in the gastrointestinal tract. This device achieved prolonged adhesion within a pig’s stomach and enabled tunable wireless precise electrical stimulation for in vivo regulation of ghrelin, the hunger hormone, demonstrating successful hormonal modulation inside a living pig.

Shichao Ding

Westlake University, China

Dr. Shichao Ding is an Assistant Professor at Westlake University since Jan 2026. He finished postdoctoral research at University of California San Diego (2022.06-2026.01) and worked with distinguished professor Joseph Wang. He received his M.S. degree from Northwestern Polytechnical University in 2018 and Ph.D. degree from Washington State University (PI: Prof. Yuehe Lin) in 2022, respectively. His research most focused on wearable electronics for autonomous healthcare.

Speech Title: Biomolecular Monitoring: From Centralized Lab Assays to Self-Testing and On-Body Autonomous Monitoring

Abstract: The detection of nutrients, key disease biomarkers, drug molecules, and toxins in the human body is critically important for healthcare and diagnostics. Our research initially focuses on enhancing the sensitivity of immunosorbent assays (ELISA) through signal amplification strategies leveraging single atom nanozymes (SANs). These SANs exhibit exceptional stability under varying pH and temperature conditions, surpassing natural enzymes in robustness. Their superior catalytic specificity for hydrogen peroxide allows them to replace natural peroxidases, enabling highly sensitive biosensing. Building on this foundation, we have expanded SANs applications to electrochemical platforms for rapid, high-sensitivity detection and lateral-flow immunoassays for portable human biofluid diagnostics. Addressing the increasing demand for continuous, comfortable, and automated health monitoring, we further integrated wearable energy management modules and sensors into wearable microgrid systems. This advancement delivers practical, autonomous, and flexible solutions for self-powered energy management and extended healthcare monitoring.

La Li

Beijing Institute of Technology, China

La Li received her Ph.D. degree in applied physics at Jilin University in 2018. She is currently an associate professor at the school of integrated circuits and electronics, Beijing Institute of Technology, China. Her research interests mainly focus on 2D MXene based flexible electronics and eye-wearable electronics.

Speech Title: MXene based eye-wearable electronics

Abstract: Wearable smart contact lens offers a novel proof-of-concept for a new generation of wireless non-invasive multifunctional eye-wearable platform that allows in-situ collect the physiological and biochemical information and encodes the ocular movements information, providing more convenient disease management approaches, personalized healthcare and point-of-care diagnostics, and eye-function enhancement. Previously reported reviews mainly focus on the traditional materials, mechanisms and functions of smart contact lenses, which lack the summarization of substrate materials for smart contact lens, especially emerging hydrogels in these two years, novel multifunctional materials like MXenes that show different applications in transistors, transparent conductive electrode, etc., and new applications fields of smart contact lens like eye-computer interaction, therapeutic and neuroprosthetic devices.

Jie Wang

Beijing Institute of Nanoenergy and Nanosystems, CAS, China

Dr. Jie Wang is a professor at Beijing Institute of Nanoenergy and Nanosystems (BINN), Chinese Academy of Sciences. He received double Bachelor degrees in Polymer Materials and Engineering, Computer Science and Technology, Master degree in Microelectronics and Solid State Electronics and PhD degree in Electronics Science and Technology from Xi’an Jiaotong University in 2000, 2003, and 2008. He worked in Xi’an Jiaotong University from 2003 to 2016, then worked in BINN as a professor. He has authored over 200 peer reviewed journal articles, and held over 30 patents. He was awarded New Century Excellent Talents in University and first Prize of Science and Technology Progress Award of MOE of PR China. His current research interests focus on triboelectric nanogenerators, mechanical energy harvesting, and self-powered system.

Speech Title: Direct-current triboelectric nanogenerators based on electrostatic breakdown

Abstract: With the rapid development of the Internet of Thing (IoT) era, it brings higher demands on new-era electric power supply system. Unimaginable complex distributed arrays of electronics and sensors will be employed to support the operation of IoTs, which is great challenge to traditional concentrated power supply system. The distributed power supply system is a potential approach to solve this problem. Triboelectric nanogenerator (TENG) represents a core group of technologies supporting the distributed electric power supply system, and its facile processability, multi-functionality, low cost and high efficiency at low operation frequency make it easily integrated within difference electronics. Here, I will talk about up-to-date accomplishments about the development of TENG with special focus on the new-type direct current TENG (DC-TENG) based on electrostatic breakdown. The internal mechanism of DC-TENG and its performance limitation factors will be also presented. Several methods to enhance its output performance, containing material selection and structural design, will also be discussed.

Andrea Vergara

Tohoku University, Japan

Andrea Vergara received her B.E. degree in Mechanical Engineering from the University of Chile in 2015 and her Dr. Eng. degree from Tohoku University in 2021. During her doctoral studies, she spent six months as an exchange researcher at the Department of Power Mechanical Engineering, National Tsing Hua University in Taiwan. Since October 2021, she has been an Assistant Professor at Tohoku University, where she also joined the Global Promotion Office of the Mechanical and Aerospace Engineering Division in 2025. Her work focuses on developing piezoelectric MEMS devices and materials, with an emphasis on combining thin-film piezoelectric technology with microfabrication for practical microsystems. She received the Best Oral Presentation Award at IEEE MEMS 2022, contributed an invited paper to the Journal of Micromechanics and Microengineering Emerging Leaders 2023 special issue, and was honored with the Young Researcher’s Encouragement Award at the 42nd Sensor Symposium by the Institute of Electrical Engineers of Japan. In 2025, she also served on the Technical Program Committee for Transducers 2025 in Orlando, USA. She is a member of IEEE, JSME, and IEEJ, and enjoys working at the interface of materials, devices, and system integration for next-generation piezoelectric MEMS.

Speech Title: Piezoelectric MEMS Technology at Tohoku University: From Traditional to Emerging Applications

Abstract: Piezoelectric MEMS (PiezoMEMS) technology has become a key platform for miniaturized sensors and actuators in next-generation acoustic, optical, and haptic systems. At Tohoku University, our laboratory has pursued an integrated approach spanning material development, device engineering, and system-level applications. This talk introduces our recent progress in piezoelectric thin-film materials, MEMS device architectures, and emerging microsystem applications for acoustic and optical functionalities. We first present advances in high-performance piezoelectric materials, including single-crystal-oriented sputtered PZT thin films and epitaxial Sm-doped PMN-PT thin films, which enable large electromechanical coupling and improved reliability for MEMS integration. Building on these materials, we develop a wide range of piezoelectric sensors and actuators, such as multilayer piezoelectric stacks, piezoelectric micromachined ultrasonic transducers (pMUTs), LiNbO₃/LiTaO₃-based acoustic wave devices, and MEMS micromirrors. We then highlight emerging applications enabled by these devices, including varifocal liquid lenses and micromirrors with integrated sensing for augmented-reality (AR) glasses, microspeakers for true wireless stereo (TWS) earphones, and pMUT-based ultrasonic actuators for mid-air haptics, active cooling, and compact acoustic sources. Finally, the talk introduces recent efforts toward combining actuation and sensing within piezoelectric MEMS to improve performance, reliability, and system integration for future wearable and human–machine interface technologies.

Yuanlin Xia

Sichuan University, China

Yuanlin Xia received the Ph.D. degree in micro/nano engineering from Kyoto University, Kyoto, Japan, in 2022. He is an Associate Professor at Sichuan University, specializing in the design, fabrication, and reliability enhancement of high-performance MEMS optical scanning mirrors. His research focuses on silicon micromachining optimization, functional material integration, and robustness engineering for mass-producible micro-optical systems. He has made contributions to achieving low-cost, miniaturized, and highly reliable MEMS mirrors with enhanced scanning performance and environmental stability. His work has been regularly presented at international conferences including IEEE MEMS, Transducers, and IEEE NEMS. His current efforts aim to translate advanced MEMS photonic devices into practical biomedical applications, particularly in ophthalmic diagnostics and human–machine interfaces.

Speech Title: Piezoelectric mirror and eye tracking system

Abstract: Strabismus affects over 10 million individuals in China alone and, if untreated, can lead to amblyopia, postural abnormalities such as scoliosis, and significant psychosocial challenges—particularly in children. Current clinical diagnosis heavily relies on subjective assessments by ophthalmologists, suffering from low reproducibility, limited quantifiability, and poor pediatric compliance. To address these limitations, we present a novel strabismus screening and interactive rehabilitation platform based on MEMS mirror-enabled eye-tracking technology. Our approach integrates a piezoelectric MEMS scanning mirror that enables high-density, high-speed optical raster scanning with minimal footprint. By analyzing the reflected scanning signals, precise ocular movement trajectories are reconstructed in real time, allowing for objective quantification of misalignment angles and binocular coordination. Furthermore, we have developed an engaging, game-based interactive system that not only facilitates automated screening but also delivers personalized visual therapy through adaptive feedback. The entire system demonstrates superior accuracy, miniaturization, and operational efficiency compared to conventional methods, while significantly reducing inter-operator variability. This work bridges advanced MEMS photonics with clinical ophthalmology, offering a scalable, low-cost solution for early detection and home-based rehabilitation of strabismus.

Yali Sun

Huazhong University of Science and Technology, China

Prof. Yali Sun is a recipient of the National Young Talent Program. She is a Doctoral Supervisor at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. Her long-term research focuses on micro/nano photonics and its applications in biological detection. She has published over 25 research papers in prestigious academic journals such as Light: Science & Applications, Advanced Materials, Advanced Functional Materials, Laser & Photonics Reviews, Nano Letters, Advanced Optical Materials, and Analytical Chemistry. She has led the Russian Science Foundation's Outstanding Youth Project and participated in the BRICS Science, Technology, and Innovation Framework Program, as well as the China-Russia Intergovernmental Key Special Project on Science and Technology Cooperation. She has received multiple awards from international academic organizations, including the OSA Zuegel Family Scholarship, SPIE MKS Instruments Research Excellence Awards, ITMO University Academic Mobility, and the Best Poster Award at the International Conference on Nanophotonics and Micro/Nano Optics. She has delivered many invited and oral presentations at various international conferences. Additionally, she serves as a reviewer for academic journals such as Advanced Functional Materials and The Journal of Physical Chemistry Letters.

Speech Title: Physics and Applications of Hybrid Nanophotonic Biosensors

Abstract: Hybrid nanophotonics are proven to be efficient systems for light controlling considering their ability to combine strong near-field localization via plasmonic resonances and inherent magnetic response via low-loss high-index dielectric nanostructures. Here fundamental studies of hybrid dimers are theoretically and experimentally investigated. By applying femtosecond laser to reshape the gold component of the hybrid nanostructure, tunable, reconfigurable, and enhanced optical properties are observed. Especially, all-optical generation of static electric field as high as 108 V/m is achieved at the interface between hybrid components by charge carriers generated via femtosecond laser irradiation and thus strongly enhanced second harmonic generation. Such hybrid nanostructure can be applied for unidirectional scattering, photoluminescence enhancement, optical sensing, and other applications. Besides, focused ion/electron beam method has been introduced to achieve hybrid chiral nanophotonic systems for biosensing. The chiral metamaterial provides a circular polarization-dependent optical response, allowing analysis in a complex environment without significant background interferences. At last, novel fabrication method-green printing technology has manufactured i) resonant 1D low-index nanostructures generated size-dependent structural colors through diffractive optical resonance, which has been utilized for colorimetric detection of multi-dimensional biomarkers (5nm-1μm). ii) hotspot engineered 3D hierarchical structures for single molecule level SERS detection of R6G and thus applied for ultrasensitive inflammatory marker detection.

Xuge Fan

Beijing Institute of Technology, China

Xuge Fan is a professor and PhD supervisor at Beijing Institute of Technology (BIT) and is recipient of the National Natural Science Foundation of China's Excellent Youth Fund (Overseas). He obtained his PhD degree at the Royal Institute of Technology. He heads the research team of MEMS and NEMS and graphene Based 2D Materials in BIT with main research topics on MEMS/NEMS, micro-nano sensors, graphene, TMDCs and related 2D materials. He has pioneered the development of ultra-small, high-sensitivity graphene nanoelectromechanical accelerometer prototype devices. Prof. Fan has published over 50 papers in high-quality journals and conferences such as Nature Electronics, Science Advances, Nano Letters, ACS Nano, CEJ, and Microsystems & Nanoengineering, and has been granted and applied for 16 Chinese invention patents. He has given nearly 20 invited presentations at academic conferences both domestically and internationally. He leads multiple projects and has long served as a reviewer for dozens of journals such as Nature Communications, ACS Nano.

Speech Title: NEMS Sensors Based on 2D Membranes

Abstract: Graphene has atomically thin thickness and excellent mechanical and electrical properties such as high electron mobility, and high Young's modulus. Therefore, graphene has potential applications in micro-nano electromechanical systems (MEMS/NEMS), enabling the miniaturization and high performance of micro-nano electromechanical sensors. This report will first introduce the excellent characteristics of graphene and related 2D materials for NEMS and the basic development history of graphene NEMS sensors. Secondly, it will focus on the design, preparation, and characterization of NEMS transducers based on atomically thin suspended graphene and related 2D membranes with an attached proof mass, as well as their applications in ultra-small, high-performance nanoelectromechanical acceleration sensors and vibration sensors. Next, it will introduce NEMS pressure sensors based on suspended graphene and related 2D membranes and humidity sensors based on graphene and related 2D materials. Finally, it will discuss the potential advantages and challenges of 2D NEMS.

Shengwei Jiang

Shanghai Jiao Tong University, China

Received B.S. and Ph.D. degrees from Nanjing University, and subsequently conducted postdoctoral research at Penn State University (PSU) and Cornell University in the United States. Joined the School of Physics and Astronomy at Shanghai Jiao Tong University in 2021 as a tenure-track associate professor and Ph.D. supervisor. Research focuses on condensed-matter optics, low-dimensional magnetism, and strong-correlation and topological physics in moiré superlattices of two-dimensional semiconductors. Expertise includes using a range of techniques—such as microwave spin resonance, micro-optical (spectroscopic) methods, and mechanical resonators—under low temperatures and high magnetic fields to probe magnetism and correlated electronic states. In recent years, has carried out a series of studies in spintronics, two-dimensional magnetism, and strong-correlation magnetism and topological physics in semiconductor moiré superlattices.

Speech Title: Correlated Topological Phases in flat Chern bands of Moiré TMD

Abstract: Correlated topological phases emerging from the interplay between electron–electron interactions and band topology have become a central theme in moiré quantum materials. In moiré transition-metal dichalcogenides (TMDs), long-wavelength periodic potentials can produce isolated, ultra-narrow Chern bands with large Berry curvature and valley-contrasting topology, providing an ideal setting to realize interaction-driven topological matter. In this work, we investigate correlated phases in flat Chern bands of moiré TMD heterostructures. We identify regimes where strong correlations stabilize valley/spin polarized states and interaction-induced topological electronic crystal states without an external magnetic field.

Ting Wen

Huzhou College, China

Ting Wen is currently a Lecturer at Huzhou College. She received her Ph.D. degree in Electronic Science and Technology from the University of Electronic Science and Technology of China in 2023. Her research interests focus on optical spectroscopy of two-dimensional (2D) semiconductors, in-situ tuning of their optical properties (e.g., via pressure), optical anisotropy in 2D materials, and polarization-dependent optical characterization and analysis. She has published more than 10 SCI-indexed papers in this field and has been supported by one project from the Zhejiang Provincial Natural Science Foundation and one municipal-level research grant.

Speech Title: Calibrating van der Waals Force via Layer Engineering

Abstract: van der Waals (vdW) interaction, a fundamental force, plays an important role in two-dimensional (2D) systems by enabling atomically-sharp assemblies and giving rise to many emergent phenomena. However, direct calibration of vdW interaction between 2D layers remains challenging due to its extreme weakness, very short range, and the difficulty of keeping two atomic layers perfectly parallel while finely adjusting their spacing. Here we demonstrate an alternative strategy to calibrate vdW force via layer engineering. We directly construct heterostructures using isotropic MoS2 and anisotropic NbIrTe4 to ensure perfect parallelism. We modulate and quantify the vdW interaction by varying NbIrTe4 thickness and monitor the vdW-interaction-induced anisotropy in MoS2. We find the vdW force to strongly depend on NbIrTe4 thickness, clearly observe its fast-decaying nature, and reveal that material-dependent screening effect plays a non-negligible role in vdW interaction. Our results provide a practical alternative for calibrating and understanding vdW force between atomic layers.

Yu Du

Dalian Maritime University, China

Du Yu obtained his doctoral degree from Shanghai Jiao Tong University in 2023 and joined Dalian Maritime University as a lecturer in the same year. He is a high-level talent (young elite) introduced by Dalian City. Dr. Du has long been engaged in research in the field of energy harvesting and self-powered sensing. He has published more than ten SCI-indexed papers in top-tier/authoritative international journals, including Nature Communications (IF: 15.7), Small (IF: 13.0), Energy Conversion and Management (IF: 11.533) and Nano Energy (IF: 17.881). He was awarded the Ye Shenghua Scholarship in 2019 and 2023 by the Teaching Guidance Committee for Instrumentation Majors of Institutions of Higher Education under the Ministry of Education of the People's Republic of China (only 10 recipients are selected nationwide each year). He also received the National Excellent Doctoral Dissertation Award in the Field of Measurement, Control and Instrumentation in 2025, which is conferred by the China Instrument and Control Society (only 6 doctoral dissertations were granted this award nationwide in the corresponding year). In addition, he presides over one Youth Science Fund Project of the National Natural Science Foundation of China and one General Program of the China Postdoctoral Science Foundation.

Speech Title: Mechanical self-adaptive porous valve relying on surface tension for energy harvesting from low-flux bubbles

Abstract: Harvesting energy from subsea bubbles, such as those produced by photosynthesis of benthic plants or submarine methane seepage, is a promising solution for powering subsea environment perception devices, but the low gas flux brings significant challenges. Herein, we propose a passive mechanical self-adaptive porous valve with self-adaptive mechanical properties and high gas permeability. It improves energy harvesting performance from low-flux bubbles by controlling bubble accumulation and high-speed release. Unlike traditional active mechanical metamaterials, this passive design utilizes gas-liquid interface deformation (rather than metamaterial actuation) to generate self-adaptive Laplace pressure counteracting bubble buoyancy, and thus requires no external energy. The porous valve has a stable opening threshold inversely proportional to its structural pore diameter. Compared with a bubble energy harvesting device with no valve, the instantaneous gas-intake rate of the device equipped with the porous valve is increased by one to four orders of magnitude, and the maximum output power and electrical energy production are enhanced by factors of 36.6 and 16.4, respectively. The energy of underwater biological metabolic gas with a low flux (28 μL·min-1) is effectively harvested and supplied to an underwater sensor. This work is expected to provide in situ energy for subsea self-powered sensing and autonomous exploration.

Hao Zheng

University of Electronic Science and Technology of China, China

Hao Zheng is currently an Associate Researcher at the School of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China. He holds senior membership in the Chinese Society of Micro-Nano Technology and membership in the Chinese Institute of Electronics. His research focuses on micro-electromechanical systems (MEMS), addressing MEMS integration challenges in biomimetic aerial vehicles operating under spatially constrained environments. He was selected for the Class A National Postdoctoral Innovation Program in 2024. Within this research domain, the applicant has published 14 SCI-indexed journal papers and 11 conference papers over the past five years. His research article was featured as a Featured Article with homepage highlights in Applied Physics Letters. His intellectual property portfolio includes 14 invention patent applications, with 4 patents granted. He has been recognized with awards including the Chinese Institute of Electronics Science and Technology Progress Award (Second Class) and the National Second Prize in the "Hongshan Open Source" Big Data Application Challenge. In terms of research leadership, he has led 3 provincial-level research projects and contributed as a key researcher to 7 national/provincial-level research projects.

Speech Title: Flexible MEMS Integrated Wing Motion Perception for Bionic Microrobotics

Abstract: This work proposes a highly integrated electrostatic sensor-wing system and an intelligent motion sensing method for bio-inspired flying robots, realizing for the in-situ multi-target dynamic monitoring of flapping wing parameters (frequency, angle, and surface deformation) with ultra-low error. The locally adaptable electrostatic sensor-wing integration structure achieves miniaturization and lightweight design, and the established theoretical sensing model enables accurate mapping between electrostatic sensing signals and motion parameters. Experimental validation shows the flapping frequency monitoring error rate is less than 0.1%, and the wing pitch angle monitoring error affected by stability is less than 0.7°, providing a new solution for airborne wing state perception under weight constraints.

Jie Song

Jiangsu University, China

Dr. Jie Song is a lecturer in the School of Mechanical Engineering at Jiangsu University. She earned her Ph.D. from Jilin University in 2022. Between November 2019 and March 2021, she conducted research as an exchange student at Tohoku University in Japan. Her research focuses on vibration energy harvesting, nonlinear dynamics, and self-powered resonant sensors. Dr. Song has authored over 10 publications in leading journals including Energy Conversion and Management, Mechanical Systems and Signal Processing, IEEE Sensors Journal, and Smart Materials and Structures. Her work primarily explores MEMS-based low-frequency vibration energy harvesting and the design of integrated devices for energy concentration and sensing.

Speech Title: Vibration Energy Harvesting and Self-Powered Sensing via Nonlinear Strategies in Multi-Scale Devices

Abstract: Addressing the power supply challenge for sensors can significantly reduce the spatial and cost constraints of wireless sensor nodes. Vibration energy—a pervasive source in our environment—is typically characterized by wide bandwidth and low frequency. However, vibration energy harvesters with complex mechanical designs are often incompatible with Micro Electro Mechanical Systems (MEMS) fabrication and difficult to integrate with miniaturized sensors. Thus, achieving efficient low-frequency vibration energy harvesting at a microscale remains a considerable challenge. In this presentation, I will share several low-frequency vibration energy harvesting and sensing systems developed by our research team. These systems incorporate theoretical frameworks ranging from bistable to stiffness-parametric coupling, span device scales from mesoscopic to microscopic, and integrate functions from energy harvesting to self-powered sensing. I will detail and analyze the design principles, operational mechanisms, modeling approaches, and relevant experimental outcomes.

Lu Wang

Xi'an Jiaotong University, China

Wang Lu, Associate Professor at the School of Instrument Science and Technology, Xi'an Jiaotong University. His main research is piezoelectric device and energy harvesting technology for self powered wireless sensors. He is committed to theoretical analysis, device design and manufacturing of vibration and electromagnetic field energy harvesting. Research on the application of power management and self powered wireless sensing systems. He presided over seven projects, including the National Natural Science Youth Fund, the sub project of the National Key Research and Development Program, the project of the Boxing Innovation Program, the horizontal project of the State Grid, the project of the State Key Laboratory, and the Youth Fund of Shaanxi Province. Published 37 SCI and EI papers in internationally renowned journals such as Applied Energy, Nano Energy, ACS sensors, MSSP, ACS AEM, IEEE TIM, and SNA, applied for 28 invention patents (11 authorized), participated ,gave 12 oral presentations in international conferences. He was awarded National Postdoctoral Innovation Talent Program, the Shaanxi Province Excellent Doctoral Dissertation and the 2023 MINI Outstanding Young Scientist Award.

Speech Title: Multisource Energy Harvesting System for Wireless Sensing in Power Grid

Abstract: To address the core challenges of wireless sensor nodes in power grid digital transformation—difficult power supply, high maintenance costs, and poor adaptability—the system proposes a series of self-powered wireless sensing solutions utilizing multi-source energy from magnetic fields, electric fields, vibrations, photovoltaic, and wind energy. Leveraging abundant environmental energy in power grid scenarios, the system conducts in-depth research on multi-field coupled energy conversion mechanisms: Magnetic field energy harvesting employs "adaptive capacitive compensation + thyristor discharge" technology, overcoming the 2A-10kA wide current adaptation bottleneck with output power ≥20W at 100A; Electric field energy harvesting optimizes plate-type structures and multi-stage under-voltage locking circuits, achieving output power ≥9mW at 110kV; Vibration energy harvesting utilizes optimized L-shaped piezoelectric oscillator structures and broadband frequency expansion designs, compatible with 5-150Hz vibration scenarios with output power ≥29mW at 0.2g/50Hz; Photovoltaic-wind energy harvesting combines perovskite solar panels with small-scale piezoelectric wind collectors to achieve complementary power supply in low-light and low-wind-speed environments. The system innovatively designs an adaptive multi-source energy switching and hybrid energy storage management system, implementing dynamic energy allocation through voltage comparison and MPPT algorithms, combined with low-power wireless sensor node integration, forming a closed-loop "energy harvesting-energy storage-energy utilization-energy transmission" cycle. Experimental and grid-connected tests verify stable operation under wide current, strong electromagnetic, and complex climate conditions, enabling multi-parameter monitoring of current, temperature/humidity, and vibration with data transmission intervals ≤32s, reducing O&M costs by over 60%. This system provides sustainable energy solutions for full-state monitoring of smart grid transmission and transformation equipment, facilitating the digital and low-carbon upgrade of new power systems.

Yingning He

Xiangtan University, China

Yingning He received his PhD degree in Micro and Nano Systems from the University of Toulouse and LAAS-CNRS, France. He then conducted postdoctoral research at Fudan University, China, where he was awarded the title of Super Postdoctoral Fellow. In 2021, he joined Xiangtan University, where he established the Microfluidic Sensing Group. He is currently an Associate Professor and has been selected for the Hunan Provincial Hundred Talents Program and the Shaofeng Scholar of Xiangtan University. His research focuses on interdisciplinary studies based on MEMS and micro/nanofabrication, with particular interests in sensors, silicon- and polymer-based microfluidic chips, flexible and wearable electronics, brain–machine interfaces, and system-on-chip (SoC) edge systems for sensing applications.

Speech Title: Micro/Nanofabricated Silicon and PDMS Microfluidic Platforms for Advanced Sensing Applications

Abstract: Micro/nanofabricated microfluidic platforms provide powerful routes to integrate sample handling, signal amplification, andon-chip sensing for both chemical and biological applications, This talk presents our recent progress in developing sllicon-based and PDMS-based microfluidic chips for advanced sensing applications, highlighting how material-specificmicro/nanofabrication enables distinct sensing functions. For the silicon platform, we focus on a lateral porous silicon (LPsi)microfluidic architecture that combines microfluidic confinement with nanostructured porosity.Owing to surface charge-governed ion transport and permselective effects, the LPsi junction supports electrokinetic preconcentration of targetanalytes via ion concentration polarization,enabling rapid enrichment from dilute samples for the improvement ofdownstream detection sensitivity. Meanwhile,the porous silicon structure provides an optically active interface, allowinglabel-free or enhanced optical sensing through modulation of refractive index and light-matter interactions within the porousnetwork.In parallel, we develop PDMS microfluidic platforms that emulate dynamic cellular microenvironments, Thesedevices enable mechanical stimulation and mechanotransduction at the cell level, where cyclic stretching or controlleddeformation is applied to investigate cellular responses under physiologically relevant mechanical cues, Furthermore, byintegrating microchannels, soft materials, and 3D culture strategies, the PDMS chips support brain-on-chip and neuro-inspired models, providing controllable microenvironments for long-term culture, functional interrogation, andmechanobiology studies, Collectively, these sllicon and PDMS microfluidic platforms demonstrate versatile capabilities forsample preconditioning, signal enhancement, and multimodal sensing.

Binghao Wang

Southeast University, China

Binghao Wang is currently a Professor in the School of Electronic Science and Engineering at Southeast University. Previously, he served as a Project Researcher at the University of Tokyo, and as a Joint PhD student and Postdoctoral Researcher at Northwestern University. He received his B.E., M.S., and PhD degrees from Soochow University. His research focuses on ultra-thin flexible transistor-integrated circuits and multifunctional sensing systems. He has co-authored more than 90 papers in prestigious journals including Nature Electronics, Nature Communications, Science Advances, and PNAS. He currently serves as an Associate Editor for Wearable Electronics and the Chinese Journal of Sensors and Actuators.

Speech Title: Ultraflexible Photoelectrical Impedance Tomography-based Imager for 3-Axis Robotic Tactile Sensing

Abstract: Three-axis tactile sensing has become pivotal for intelligent robotics in complex tasks ranging from force decoupling to adaptive grasping. Optical-based tactile sensing inherently provides superior spatial resolution, rich multimodal data, and electromagnetic interference resistance. However, conventional optical-based tactile sensors employing rigid CMOS imagers suffer from limitations in mechanical flexibility, large-area scalability, and manufacturing costs. Here we present an ultraflexible photoelectrical impedance tomography (PIT) imager that achieves high-fidelity three-axis tactile sensing through radical device simplification-reducing output connections by orders of magnitude compared to conventional imagers. The 5 μm-thick PIT imager integrates CdSe/ZnS quantum dots/indium-zinc-oxide heterojunction layer with 16 peripheral electrodes, demonstrating exceptional optoelectronic characteristics including > 10⁴ photo-to-dark current ratio and cycling stability under UV light irradiation. Additionally, the PIT imager achieves spatiotemporal sensing, resolving 1.5 mm spatiotemporal resolution with fewer interconnects (pixel to interconnect ratio > 80) and tracking up to five simultaneous UV patterns. The ultrathin device maintains stable performance under extreme mechanical deformation (bending radius of 0.3 mm) and even survives after puncture. Through the integration of light-scattering porous rubber and LED arrays, we enable triaxial force decoding via Gaussian-distributed photocurrent analysis, achieving: an 80 kPa dynamic range with an averaged sensitivity of 0.04 kPa⁻¹ to normal force, a 0.17 μm kPa⁻¹ shear displacement resolution, and 96.5% multimodal recognition accuracy for simple topologies using a ResNet-18 architecture. We foresee this technology for next-generation haptic interfaces in soft robotics, neuromorphic prosthetics, and immersive human-machine interaction systems.

Guanlin Liu

Guangxi University, China

Guanlin Liu received a B.S. degree (2014) and a Ph.D. degree (2019) in physics from Chongqing University. He was a visiting scholar at Georgia Institute of Technology through the program of China Scholarship Council, and now is an associate professor of physics at Guangxi University.His main research interest focuses on triboelectric nanogenerators for blue energy harvesting.

Speech Title: Wave energy triboelectric nanogenerator with high-density triboelectric layers

Abstract: Triboelectric nanogenerators (TENGs) are one of the potential technologies for efficiently harvesting low-frequency and high-entropy wave energy. Low cost and high output are also the key characteristics determining their future large-scale commercialization. This report will introduce a series of TENGs based on silicon-manganese spring steel sheets. The aim is to obtain a larger area of triboelectric layers within a unit space through appropriate structural design and spatial layout, while reducing reliance on other auxiliary materials. Ultimately, this will enable TENGs to achieve high output, low cost, and light weight, allowing them to better respond to and harvest wave energy.

Lei Yang

Xi'an Jiaotong University, China

Lei Yang is a Professor and PhD Supervisor at the School of Mechanical Engineering, Xi’an Jiaotong University. His research focuses on intelligent sensing technologies, solid–liquid triboelectric nanogenerators, self-powered sensor systems, flexible and wearable electronic devices, equipment condition monitoring, and novel robotic structure design. He has made sustained contributions to the fundamental mechanisms of interfacial triboelectrification and to the development of integrated sensing systems for complex mechanical and energy-related environments, with applications in lubrication monitoring, structural health assessment, and human–machine interaction. Prof. Yang has authored and co-authored more than 50 peer-reviewed journal papers published in leading international journals, including Advanced Functional Materials, npj Flexible Electronics, Nano Energy, and Nano-Micro Letters. His research outcomes have been recognized with multiple awards, including the Second Prize of the Shaanxi Provincial Natural Science Award and the First Prize of the Shaanxi Higher Education Science and Technology Award.

Speech Title: Solid–Liquid Two-Phase Flow Electrification: Mechanisms and Intelligent Liquid Parameter Monitoring

Abstract: Liquid-state parameters provide critical information for assessing system performance, reliability, and safety in aerospace equipment, marine environments, industrial processes, and medical diagnostics. However, real-time monitoring of complex liquids remains challenging due to the strong coupling between liquid dynamics, interfacial charge transfer, and multiphase composition. Solid–liquid triboelectric nanogenerators (TENGs) have emerged as promising self-powered sensing platforms, yet their signal generation mechanisms and reliability under complex fluid conditions are not fully understood, limiting their quantitative sensing capability and practical deployment. In this work, we systematically investigate the electrification mechanisms of solid–liquid interfaces and develop intelligent liquid parameter monitoring methods based on triboelectric signals. First, the dynamic coupling between droplet deformation and triboelectric output is elucidated by combining high-speed imaging, synchronized electrical measurements, and multiphysics modeling. A unified framework is established to correlate droplet spreading, rebound, and sliding behaviors with time-resolved electrical responses, enabling stable and enhanced signal generation. Second, for particle-laden liquids, a dual-source electrification mechanism involving solid–liquid and solid–solid interactions is revealed, allowing quantitative interpretation of multiphase signal features. Third, a triboelectric–capacitive dual-mode sensing strategy is proposed to exploit the complementary sensitivity of interfacial dynamics and bulk dielectric properties, significantly improving parameter decoupling and robustness in complex fluids. Finally, physics-informed deep learning models are introduced to achieve intelligent identification of liquid composition and concentration under variable operating conditions.

Lingyun Wang

Shandong University, China

Dr. Lingyun Wang received her PhD degree from City University of Hong Kong in July 2019. Then, she worked as a Postdoc Fellow at the Chinese University of Hong Kong and City University of Hong Kong. Afterward, she joined Shandong University as a professor and was recognized as a Taishan Scholar and an outstanding overseas Young Talent of Shandong Province. Currently, her research interests mainly focus on functional (bio)materials and their applications in flexible/wearable smart devices, including epidermal bioelectronics for human health monitoring, flexible sensors for IoT applications, and flexible energy harvesters for wearable electronics. Dr. Wang’s research has been published in top-notch journals, including Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, ACS Nano, Nano Energy, etc. She serves as an Associate Editor of Frontiers in Electronics: Wearable Electronics, Youth Editorial Board Member of Nano-Micro Letters, Soft Science, and Research.

Speech Title: Wearable Polymer Composite Triboelectric Nanogenerators and Their Self-powered Sensing Performance

Abstract: Functional polymer composites are crucial for advancing wearable triboelectric nanogenerators (TENGs) to meet the increasing demand for enhanced performance and multifunctional capabilities. The composition and structure of these materials significantly influence their mechanical and electrical properties. Here, we optimize composite performance by integrating two-dimensional graphdiyne, lead-free bismuth halide perovskite, and n-type conductive polymer into polymer matrices through various fabrication methods, including casting and solvent extraction, electrospinning, and solvent casting. These approaches enable the development of porous polymer composites, nanofibrous films, and bi-continuous composites. By meticulously adjusting the fabrication parameters, we thoroughly investigate the physicochemical properties of these composites and establish their relationship with performance in micro energy harvesting applications. Leveraging their unique properties, we demonstrate a range of self-powered sensing applications, such as respiratory monitoring, Morse code detection, volatile organic compounds detection, fall alarms, and track recognition. These findings highlight the significant potential of these materials in wearable electronics and on-skin human-machine interfaces.

Yunxing Lu

Shanghai Open University, China

Yunxing Lu, graduated from State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, now primarily engage in research related to micro/nano manufacturing and biomarker detection. Key projects include: National Natural Science Foundation of China: Integrated Digital PCR Chip for Multi-Target Detection of Lung Cancer-Related Exosomal LncRNAs (61971410) National Key R&D Program: Nano-Integrated Devices and Reagents for Postoperative Efficacy Monitoring and Prognosis Analysis in Gastric Cancer (2017YFA02053002) National Key R&D Program: Selection of Bionic Materials for Scalable Stem Cell Cultivation and Intelligent Module Construction of Bioreactors (2018YFA0108202), leads the 2023 Shanghai Morning Light Program project titled “Early Tumor Diagnosis Using AI-Based Image Analysis of Exosomes.” The applicant has published first-author research papers in high-impact journals including Nano-Micro Letters, Biosensors & Bioelectronics, and Chinese Chemical Letters. Additionally, three conference papers were presented at the premier international sensor conference Transducer (2019, 2021, 2025), totaling more than 20 published papers. Three relevant patents have been granted.

Speech Title: Research on Deep Learning based Microfluidic Exosome Detection analysis

Abstract: This report focuses on microfluidic exosome biomarker detection: a target detection model based on immunobridging. By autonomously constructing training datasets and integrating image recognition processing, we achieved fully automated, precise identification and quantitative analysis of exosome surface biomarker signals. Through these approaches, we have achieved intelligent analysis and data processing for exosome detection scenarios, providing core technological support for precise quantitative analysis and functional screening.

Zhuo Li

Fudan University, China

Zhuo Li is a Professor in the College of Smart Materials and Future Energy, and a PI in the State Key Laboratory of Molecular Engineering of Polymers at Fudan University, where her research focuses on functional polymer composites for flexible sensors and electronic packaging. She earned her B.S. degree from Tongji University, followed by an M.S. from Virginia Tech and a Ph.D. from the Georgia Institute of Technology. Before joining Fudan, Dr. Li worked as a Materials Engineer at Celanese Corp. and CNPC USA Corp. She has published over 90 papers in journals such as Science Translational Medicine, Nature Communications, Advanced Materials. She currently serves as the associate editor for IEEE TCPMT, the chair of the IEEE-EPS Shanghai Chapter, and the IEEE-WIE Shanghai affinity group. Dr. Li was a recipient of the IEEE EPS Outstanding Young Engineer Award in 2020.

Speech Title: Flexible pressure/strain sensors and quantum tunneling effect

Abstract: Flexible pressure and strain sensors have attracted wide attention due to their applications in health monitoring, VR/AR devices, sporting equipment, and robotics. Achieving high sensitivity in resistive sensors typically involves two strategies: percolation theory and alterations in contact resistance. However, the quantum tunneling effect of nanomaterials offers a less explored yet promising avenue for enhancing sensitivity. In this talk, I will introduce four recent studies conducted by our team on quantum tunneling. In our initial study, we utilized vertically aligned carbon nanotubes (VACNTs) as field emitters and a spin-coated polymethyl siloxane (PDMS) layer as both insulator and pressure sensing material. The thinning of the PDMS layer under pressure reduced the tunneling barrier for electrons from VACNTs, resulting in a significant increase in tunneling current. This sensor not only set sensitivity records but also achieved ultrahigh precision. In a subsequent study, we employed spiky hollow carbon nanospheres dispersed in a PDMS matrix, leading to a sensor array with ultrahigh sensitivity and a high sensing density that is six times higher than the human finger. Further research involved organizing these nanospheres into compact films through floating assembly, followed by the creation of dense sensing array using laser ablation. This stretchable strain sensing array exhibit a high gauge factor of 70000 and a sensing density of 100/cm2. Additionally, we will discuss methods to mitigate quantum tunneling in capacitive pressure sensors to improve signal-to-noise ratios.

Xuqian Zheng

Nanjing University of Posts and Telecommunications, China

Xu-Qian Zheng is currently an Associate Professor at College of Integrated Science and Engineering (College of Industry-Education Integration), Nanjing University of Posts and Telecommunications. He received the Ph.D. degree in Electrical Engineering from Case Western Reserve University, USA in 2019. And then he joined University of Florida, USA, as post-doctoral researcher. His major research area is ultra-wide-bandgap materials for MEMS/NEMS applications. He also works on the development of piezoelectric MEMS/NEMS, fundamental study of 2D material NEMS devices, and piezoelectric energy harvesting from ambient vibrations. Dr. Zheng has published 25 peer-reviewed journal papers and contributed 15 top conference publications. He was the single recipient from Case School of Engineering of the Ruth Barber Moon Award in recognition of his academic promise and leadership at Case Western Reserve University in 2017. He was in the finalists of the Best Student Paper Competition at the 2016 IEEE International Frequency Control Symposium (IFCS 2016) and the Outstanding Paper Award Competition at the 30th IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2017).

Speech Title: Laser Interferometry for NEMS Resonators: Applications and Optimization

Abstract: Nano-electromechanical systems (NEMS) resonators offer exceptional mass sensitivity and high operating frequencies, making them indispensable for advanced sensing and fundamental physics research. However, characterizing their intricate dynamics requires high-precision readout techniques. This talk explores the system of laser interferometry for analyzing NEMS resonator behavior, with thermomechanical, photothermal, and electrostatic actuation methods. We first detail the operational principles of interferometric measurement and its integration with distinct drive mechanisms. Subsequently, we present specific applications, including solar-blind ultraviolet sensing utilizing gallium oxide NEMS via photothermal actuation, and the characterization of nonlinear dynamics under thermomechanical and electrostatic drives. Furthermore, we demonstrate the unique capability of the NEMS platform to determine the mechanical anisotropy of emerging materials. Finally, the presentation addresses the optimization of measurement sensitivity through laser polarization techniques, highlighting pathways to maximize the performance of optical readout systems in NEMS research.

Yuxuan Jiang

Anhui University, China

Dr. Yuxuan Jiang received the B.S. degree in physics from Peking University, Beijing, China, and the Ph.D. degree in condensed matter physics from Georgia Institute of Technology, Atlanta, U.S.A. He was a Jack Crow Postdoc Fellow in National High Magnetic Field Laboratory, Tallahassee, U.S.A., and now is currently a professor in school of physics in Anhui university, Hefei, China. His research interests include optical spectroscopy in quantum materials and nonlinear dynamics phenomena in NEMS/MEMS.

Speech Title: Revealing Sideband effects in a nonlinear membrane resonator with multi-tone measurements

Abstract: Recently, there has been increasing interest in the sideband response of resonantly driven nonlinear modes, as it is closely related to squeezing effects that allow the system to surpass conventional noise limits and holds important implications for technological applications. Hence, it is of great importance to understand their behavior under external stimuli and to achieve control over these sidebands. In this talk, I will first present a novel sideband effect in a driven nonlinear mode whose eigenfrequency is modulated at a low frequency (<1kHz). This additional parametric modulation leads to prominent antiresonance line shapes in the sideband spectra, which can be controlled through the vibration state of the driven mode. Our model analysis establishes a direct connection between the antiresonance frequency and the squeezing of thermal fluctuations in the system. Moreover, as the strength of the probe tone increases, we observe a Duffing-like lineshape and multiple sidebands emerging at their overtones frequencies. These results strongly indicate that the sideband response evolves into a nonlinear regime and becomes highly coupled.

Sihai Luo

Xi'an Jiaotong University, China

Prof. Sihai Luo holds joint appointments as a tenured faculty member and PhD supervisor at the Institute of Frontier Science and Technology, School of Mechanical Engineering, and the First Affiliated Hospital of Xi'an Jiaotong University. He is a distinguished awardee of the National Young Talent Initiative (Overseas) and the Class A Young Elite Scholar Program of Xi'an Jiaotong University. He obtained his Master’s degree from Politecnico di Milano in 2017, before completing his doctoral research at the Norwegian University of Science and Technology. After graduating with a PhD, he worked as a postdoctoral researcher at NTNU and then as a senior research fellow at the Paul Scherrer Institute in Switzerland, where he led a research project on EUV interference lithography sponsored by ASML. His current research interests lie in advanced nanofabrication and intelligent sensing systems. To date, he has secured two grants from the National Natural Science Foundation of China, and published over 20 peer-reviewed papers in leading journals such as Advanced Materials, ACS Nano and Advanced Functional Materials. He also serves as a Young Editorial Board Member for International Journal of Extreme Manufacturing (IF=21.4, CAS Q1) and Microsystems & Nanoengineering (IF=9.9, CAS Q1).

Speech Title: Wafer-scalable Artificial Synapses and Logic Gate Circuits Based on Coplanar Self-Aligned-Gate Organic Transistors for Artificial Vision Applications

Abstract: Wafer-scale and low-voltage operation are essential for practical artificial vision hardware. Here, we report a wafer-scalable artificial synapse and logic gate circuits platform based on coplanar self-aligned-gate (SAG) organic transistors using the narrow-bandgap semiconducting polymer DPP-DTT and self-assembled monolayer as dielectric. Coplanar SAG electrodes effectively suppress parasitic effects due to the reduction of gate-to-contact overlaps, enabling uniform transistor operation at low voltages (-6 to 2 V) across the wafer, delivering a high rectification ratio of 2.46×10^5. Under near-infrared illumination, the devices exhibit efficient phototransduction and reconfigurable modulation of synaptic plasticity between excitatory and inhibitory modes, with an ultra-low energy consumption of 5.28 fJ per event. In addition, minimal circuit configurations enable electrically driven NOT and NOR logic gates circuits as well as optical-electrical hybrid-input NOR logic operations, enabling maximize and simplifying the functionality of photosensing logic circuits. Furthermore, an artificial neural network constructed based on the SAG transistors further demonstrate the potential applications in handwritten digit recognition with a recognition accuracy of ~96% and image memory behavior. This work provides a scalable and effective path for developing low-power artificial synapses to neuromorphic artificial vision systems.

Songsong Tang

University of Science and Technology of China, China

Dr. Songsong Tang is a Professor in the Department of Biomedical Engineering at University of Science and Technology of China (USTC). He received his PhD training in Chemistry and Bioengineering at University of Science and Technology Beijing (USTB) and in Chemical and Nanoengineering at University of California, San Diego (UCSD). He then conducted postdoctoral research in Prof. Wei Gao’s group in the Department of Medical Engineering at California Institute of Technology (Caltech). His research focuses on the design of biohybrid micro/nanorobots that bridge synthetic miniaturized machines with biological world for precision therapy. By integrating living and biomolecular components, such as cells, bacteria, vesicles, and proteins, with diverse power modalities and functional modules, he has developed biocompatible, biodegradable micro/nanorobots capable of various biological functions, precise navigation, sensing and therapeutic actions within complex physiological environments. His work has been published as first or corresponding author in journals such as Nature Nanotechnology, Science Robotics, Science Advances, PNAS, and Advanced Materials. He aims to create next-generation micro/nanorobotic platforms with converged capabilities to advance therapeutic interventions and maximize clinical outcomes.

Speech Title: Biohybrid micro/nanorobots for precision therapy

Abstract: Micro/nanorobots are miniaturized machines that convert environmental energy (chemical, light, ultrasound, electric, or magnetic) into propulsion, enabling active motion and opening new opportunities for medical interventions and micro–nano chemical sensing. Yet most systems still lack key features for practical use, including biocompatibility, biodegradability, precise control, selective chemical recognition, and robust signal readout in complex biofluids and tissues. Here, we convert biological building blocks—living cells, bacteria, vesicles, and proteins—into autonomous machines by immobilizing biocatalytic or magnetic engines on their surfaces, while preserving their native biofunctions. The resulting biohybrid micro/nanorobots are inherently biocompatible and biodegradable, and can be modularly integrated with chemical sensor interfaces and reporters for motion-enabled in situ detection. These platforms actively sample local microenvironments, support imaging-guided navigation, enhance tissue binding/penetration, and enable targeted payload delivery. Collectively, this work establishes a “sense–navigate–act” paradigm toward clinically translatable micro–nano robotic tools for precision therapy and chemical sensing.

Yan Wang

University of Electronic Science and Technology of China, China

She obtained her Master’s degree in Chemical Process Machinery from Zhejiang University during 2008–2011. From 2011 to 2015, she pursued and received her Ph.D. degree at the Institute of Thermal Process Engineering, Environmental and Natural Products Process Engineering, Technische Universität Bergakademie Freiberg (TU Bergakademie Freiberg), Germany. She worked at Central South University, China, from 2016 to 2021. She has been affiliated with the University of Electronic Science and Technology of China (UESTC) since 2021. She was selected for the Youth Talent Program under Sichuan Provincial “Tianfu Emei Plan”. Her research focuses on electrical multi-sensors, flexible devices, microstructures and interconnections in packaging, CFD simulation, and optimization models.

Speech Title: A FLEXIBLE MULTIMODAL SENSING MICROSYSTEM AND ITS APPLICATION IN MOTION MONITORING

Abstract: Flexible multimodal sensors have demonstrated critical applications in health monitoring, human motion detection, and soft robotic sensing. However, the simultaneous achievement of multifunctionality, minimal signal crosstalk, and high sensitivity remains a persistent challenge. In this study, we developed multi-modal flexible sensors with a layered architecture that integrates distinct electrical parameters to detect pressure, proximity, humidity, and temperature. Through rational functional layer allocation, the compact sensor achieves independent signal transduction for each physical parameter. Experimental validation confirms its efficacy in real-time human respiratory monitoring, posture recognition, and precise object proximity detection. The sensor's multifunctional integration offers significant potential for sleep monitoring, healthcare IoT systems, and ambient intelligence applications, thereby advancing the development of next-generation wearable monitoring technologies.

Shilun Feng

Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China

Dr. Shilun Feng is currently an Associate Professor at the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, leading the Integrated Photoelectrochemical Biosensors Research Group. He completed his PhD at the School of Engineering, Macquarie University in 2019, under the supervision of Associate Professor David Inglis and Professor Ewa Goldys, a Fellow of the Australian Academy of Technological Science and Engineering (ATSE). He then conducted postdoctoral research at Nanyang Technological University, Singapore, where he was supervised by Professor Ai Qun Liu, a Fellow of the Academy of Engineering Singapore. As an early-career researcher specializing in biomedical microfluidics and point-of-care testing (POCT) instruments, Dr. Feng has made significant contributions to the field. He has published more than 100 peer-reviewed journal articles (55 first/co-first/corresponding authors), most of which are published in Q1 journals. His work has garnered more than 2,400 citations, resulting in an h-index of 26. He holds 13 patents related to microfluidics for POCT applications. Dr. Feng has served as the Principal Investigator for 13 government and industry-funded grant, totally more than 3 million AUD. He is an active contributor to the academic community, having presented at over 20 national and international conferences, including MicroTAS 2022. He will also serve on the committee for MicroTAS 2025 in Adelaide, Australia. In addition to his research, Dr. Feng holds several associate editors for journal of Micromachines, Nanotechnology and Precision Engineering, and International Journal on Smart Sensing and Intelligent Systems. Dr. Feng leads a research team focused on integrated photoelectrochemical biosensors, with emphasis on sample sampling, processing and integrated detections, and the development of portable POCT systems. Several integrated systems developed by his team have been successfully translated into practical applications.

Speech Title: Microfluidics-based Point-of-care testing（POCT）for Pathogens Detection

Abstract: Pathogen detection is critical to safeguarding public and national biosafety. However, traditional methods face limitations such as sampling with biosignals distortion, labor-intensive enrichment, and complicated detection instruments. To overcome these challenges, this study introduces an integrated solution built upon three innovations based on using droplets: 1）Droplet-based sampling: A hydrophilic microporous needle-based sampling technique was developed to minimize sample signal distortion during transport caused by “Taylor dispersion”. Leveraging two-phase flow and interfacial tension, this method encapsulates samples within oil droplets immediately after collection, effectively reducing evaporation, preventing contamination, and preserving sample with temporal, chemical and spatial resolutions. 2）On-site processing: To eliminate manual, multi-step operations, an on-chip magnetic control module drives magnetic beads across droplet interfaces. This enables fully automated lysis, nucleic acid extraction, and amplification within microscale droplets streamlining the workflow, inside one enclosed microfluidic chip. By combining these technologies, an integrated on-chip optoelectronic prototype was developed, which can complete pathogen detection within 30 minutes at a sensitivity of 5 copies/μL, supporting high-throughput testing of up to 96 samples. The system has been validated in real-world settings, including the local Hospital for detecting pathogens such as pneumonia viruses, rhinoviruses, and Bordetella pertussis, consistently delivering accurate and stable results. 3）Integrated optoelectronic detections: Conventional detections relies on bulky instruments and stable environments. In contrast, integrated photonic and electronic chips significantly reduce system size while enhancing stability and portability, enabling reliable detection outside traditional laboratory settings. With its advantages of fast, accuracy, high throughput, and portability, this platform is well-suited for deployment in disease control centers, hospital laboratories, and on-site emergency testing. It holds strong industrialization potential and is expected to significantly strengthen public health emergency response capabilities.

Xiuhan Li

Beijing Jiaotong University, China

Xiuhan Li is currently a Professor at Beijing Jiaotong University (BJTU). She received her Ph.D. degree in Microelectronics and Solid-State Electronics from Peking University in 2006, and then she joined the School of Electronics and Information Engineering (BJTU). She also was the visiting scientist of the Institute of Microelectronics in Peking University from 2006 to 2013. Her research interests include Micro/nano devices and energy harvesting, implantable biomedical microdevices and its integrated system. She has directed and participated in a number of projects from the Ministry of Science and Technology, NSFC, BJNSFC, etc. Prof. Li has published more than 30 peer-reviewed papers (Adv. Mater., ACS Nano, Nano Energy, etc.) and authorized 6 invention patents. She also serves as referee for several highly-reputable journals (Nano Energy, IEEE Trans. Power Electron., IEEE trans. Ind. Elecron., IEEE Trans. Antennas Propag., IEEE Trans. Nanotechnol., etc.). She is also hosting the undergraduate courses of "Semiconductor devices and physics” and “Integration Circuits Process Principle”.

Speech Title: Self Powered Nano Fiber Based Wearable Sensors for IOT

Abstract: Flexible film offers unique advantages for wearable devices due to their adaptability to dynamic human motions and compatibility with skin-like interfaces. However, beyond flexibility, high electrical output and reliable performance are also essential for practical applications. To address these requirements, research efforts have been directed toward advancing the core elements of flexible triboelectric devices, particularly the triboelectric materials, through three key strategies: First, electrospinning has been employed to fabricate nanostructured films with large surface area and enhanced charge-trapping capability, enabling superior triboelectric performance. Second, composite engineering has been utilized by incorporating functional fillers, such as rare earth oxides or biopolymers, to tailor dielectric properties and surface chemistry, thereby improving charge density and output efficiency. Third, system-level integration has been achieved through structural optimization and multi-channel sensor networks, which enhance device functionality and facilitate practical applications in wearable healthcare and intelligent monitoring. These advances establish a comprehensive framework from material innovation to biomedical applications, highlighting the potential of flexible triboelectric nanogenerators as sustainable and multifunctional platforms for next-generation wearable electronics and clinical rehabilitation.

Lindong Wu

Southeast University, China

Lindong Wu is an Associate Professor at Southeast University, a Xiaomi Youth Scholar, and the master’s supervisor. He received his B.Sc. degree in 2017 and Ph.D. degree in 2022 from Peking University. He was then supported by the Boya Postdoctoral Fellowship of Peking University. In September 2024, he joined the School of Integrated Circuits, Southeast University. His research mainly focuses on memristors, energy devices, energy-information integration, and neuromorphic computing. Lindong Wu is currently leading three research projects and has published 29 papers in high-impact international journals and conferences such as IEDM, Science China Information Sciences, IEEE TED, and Advanced Electronic Materials, among which 14 are as first author or corresponding author.

Speech Title: Experimental Realization of Ta2O5-Based All-Solid-State Lithium-Ion Battery with High-Temperature Stability

Abstract: The all-solid-state lithium-ion battery (ASS-LIB) has emerged as one of the most promising on-chip energy storage technologies due to the simple structure and high energy density. In this work, we successfully fabricated an ASS-LIB with the structure of Pt/Ta2O5/LiPON/V2O5/Pt via a CMOS-compatible process, laying a solid foundation for potential on-chip integration with microelectronic systems. The device exhibits excellent cycling stability, retaining 99.7% of its initial capacity after 500 charge-discharge cycles at a current density of 20 μA/cm2, alongside excellent retention capability with a low open-circuit voltage decay rate of 4.2 mV/h. Moreover, high-temperature tests confirm its remarkable thermal stability. The capacity of the device retains 92.7% after 200 cycles at 85 °C. This robust high-temperature performance is mainly attributed to the excellent thermal stability of Ta2O5 anode. Collectively, these results highlight the potential of Ta2O5-based ASS-LIBs for practical deployment in high-temperature microsystems and other harsh-environment scenarios.

Junyi Zhai

Beijing Institute of Nanoenergy and Nanosystems, CAS, China

Junyi Zhai is a professor of the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences. His research mainly engaged in the preparation of piezoelectric semiconductor materials, the growth and characterization of epitaxial functional oxides, the design and application of novel multifunctional electronics and optoelectronics devices, self-powered sensors, and the Ocean Internet of Things. So far, he has published more than 180 research papers in journals such as Science Advances, Nature Communication, Matter, Chemical Review, and Advanced Materials, with over 15000 citations. The H-index of these paper is 58, and he has obtained 10 invention patents. He has PI or Co-Pi 4 projects from the National Natural Science Foundation of China and the Ministry of Science and Technology of the People’s Republic of China.

Speech Title: High-Efficiency Hybrid Nanogenerators for Self-Powered Marine Monitoring Systems

Abstract: The expansion of marine monitoring demands robust, self-sufficient power solutions. Our research addresses this by pioneering a suite of highly coupled triboelectric–electromagnetic hybrid nanogenerators (TE-HNGs) for superior wave energy harvesting. We have developed innovative architectures—including magnetic suspension (MS-HNG, ML-HNG), swinging structure (MS-HNG, S-TENG), and pendulum-coupled (CP-CNG) designs—that achieve exceptional spatial efficiency (up to 91.9%), durability (>240k cycles), and a multi-frequency response to low-frequency waves. Central to our success is the synergistic interplay between structural design and intelligent power management. Circuits like the universal power management system (UPMS), dual-track circuit (DTC) and energy self-managed power system (ESPS) harness phase coherence between generator units to orchestrate energy release, transforming device output. The ESPS achieves a peak power of 261.3 mW, a significant improvement over 75.5 mW from the MS-HNG alone, illustrating a synergistic effect where 1+1>2. These integrated systems power practical applications directly, from multi-sensor arrays to long-range (1.5 km) LoRa wireless transmission, enabling real-time, self-powered marine meteorological and water quality monitoring. Our work establishes a comprehensive framework from fundamental generator coupling to system-level integration, marking a significant stride toward the commercialization of blue energy technology.

Guangze Yang

Adelaide University, China

Dr. Guangze (Daniel) Yang is an Emerging Leadership Research Fellow in the School of Chemical Engineering, College of Engineering and Information Technology, at Adelaide University, Australia. His research focuses on developing nanomaterials for biomedical applications, with particular emphasis on drug delivery and biomimetic materials, spanning nanomedicine, polymer science, and bioinspired materials. He engineers silica and polymeric nanoparticles with high drug-loading capacity, targeted delivery, and controlled release, and he investigates peptides, proteins, and stimuli-responsive systems to understand how material properties influence cellular interactions, immune responses, and therapeutic efficacy. His work also extends to biomolecule-enabled mineral processing, contributing to environmentally sustainable approaches in resource industries. Through his NHMRC Fellowship, Dr. Yang is exploring innovative chemoimmunotherapy strategies for metastatic castration-resistant prostate cancer. He has published extensively, collaborates with academic and industry partners, and mentors students and early-career researchers. Dr. Yang earned his PhD (2020) and Master of Engineering Science (2014) from The University of Queensland (Australia), following a Bachelor of Chemical Engineering and Technology (2012) from Tianjin University (China). In 2024, he was recognized as a ScholarGPS Top Scholar in Drug Delivery (prior five years).

Speech Title: Mineral-Binding Biomolecules for Selective Micro-Manipulation and Recyclable Silver Separation

Abstract: Achieving highly selective separation of valuable mineral particles from complex mixtures remains a major bottleneck in sustainable resource recovery, particularly as ore grades decline and mineralogy becomes more challenging. In this talk, I will present a biotechnology-driven strategy that uses molecular recognition to enable selective micro-scale manipulation of mineral particles. Using phage display, we identified mineral-targeting peptides (PepMin) with high specificity and affinity, and demonstrated their ability to selectively separate silver particles from silica, a representative waste component. In a single separation step, PepMin delivered over 98% silver purity with a recovery rate exceeding 95%, highlighting how peptide–mineral recognition can outperform conventional low-selectivity separations. To enable practical reuse and process efficiency, we further engineered temperature-sensitive proteins incorporating PepMin to create recyclable separation agents. These protein systems achieved a separation factor of 23,000 while maintaining 97% protein recovery, supporting repeated operation with minimal loss of function. Finally, we validated real-world relevance using photovoltaic panel leachate, where the engineered proteins achieved 94.6% silver recovery in a complex industrial sample. Together, these results establish a scalable, selective, and recyclable platform that connects biomolecular “sensing” of material identity with controllable particle capture and release—opening new opportunities for micro/nano-engineered systems in sustainable separation and resource recycling.

Yun Liu

Adelaide University, China

Dr Yun Liu is an ARC DECRA Fellow in the School of Chemical Engineering at Adelaide University. Her research develops platform technologies for multifunctional organic nanoparticles, addressing key limitations in cargo loading, targeting, stability, and release control. She established microfluidic-assisted nanoprecipitation workflows for reproducible fabrication of targeted nanoparticles with throughput-scalable production, and pioneered sequential nanoprecipitation strategies that tune precipitation kinetics via multi-solvent design or salt-induced liquid–liquid phase separation, enabling stable nanoparticles with cargo loads up to 66.5 wt%. She also developed a J-aggregate-based FRET system to track cargo state and release pathways in high-loading formulations. Dr Liu received her PhD from The University of Queensland and has published widely, with over 3,200 citations.

Speech Title: Organic Nanoparticles with Tuneable Cargo Loading and Their Release

Abstract: Organic nanoparticles are advancing as versatile delivery platforms because they are biocompatible, biodegradable, and can encapsulate cargo for controlled release. However, low loading capacity (commonly below 5% to 10%) and rapid release continue to limit translation and broader materials applications. We report platform technologies to produce multifunctional polymeric nanoparticles with improved loading, stability, and release control. We established microfluidic-assisted nanoprecipitation workflows to reproducibly fabricate targeted nanoparticles, systematically tune particle properties, and support throughput-scalable manufacturing within a one-step assembly process. To address loading constraints, we developed sequential nanoprecipitation strategies using either multi-solvent design or salt-induced liquid–liquid phase separation to tune drug and polymer precipitation kinetics, enabling stable nanoparticles with cargo loads up to 66.5 wt%. This approach is adaptable and can be extended to additional organic nanocarriers, including lipid nanoparticles and silica nanocapsules. We implemented a J-aggregate-based FRET method to track cargo state and release pathways in high-loading systems, enabling mechanistic interpretation of release profiles over time. Finally, the platform supports dry formulations with long-term stability (at least 15 months), maintaining particle integrity for storage and downstream use, consistent with the role of lyophilisation in improving nanoparticle shelf life. Together, these technologies expand the design space for high-loading, controllable organic nanoparticles across drug delivery and materials chemistry.

Yongzheng Wen

Tsinghua University, China

Yongzheng Wen is an Associate Researcher at the School of Materials Science and Engineering, Tsinghua University, and serves as Deputy Director of the State Key Laboratory of New Ceramic Materials. His research primarily focuses on metamaterials, with particular emphasis on exploring fundamental physical mechanisms, realizing extraordinary electromagnetic/terahertz properties, and developing their applications. He has published over 40 papers in international journals and conferences including Physical Review Letters, National Science Review, Materials Today, and Research. As principal investigator, he has led multiple national-level projects such as the National Key R&D Program project and NSFC grants. He has been recognized as a National-level Youth Talent Program and selected for the China Association for Science and Technology (CAST) "Young Talent Support Project." Currently, he holds the position of Deputy Secretary-General of the Metamaterials Branch at the Chinese Materials Research Society (CMRS).

Speech Title: Artificial Optical Nonlinearity Generated by Metamaterial and Terahertz Applications

Abstract: Nonlinear optics is one of the core fields in modern optics, but constrained by the unclear physical processes in natural nonlinear materials, the on-demand artificial design of optical nonlinearity has been largely unattainable, significantly impeding further development in related technological domains. This report presents an artificial optical nonlinearity realized through metamaterial structural coupling, along with its application examples in terahertz harmonic generation and photodetection. Unlike natural nonlinearity, this artificial approach requires no participation of specialized natural nonlinear materials while enabling various nonlinear effects including second-harmonic generation and optoelectronic conversion. Moreover, by modifying the metamaterial structures, the nonlinear characteristics can be artificially designed and controlled with ultrahigh degrees of freedom. Furthermore, addressing the "terahertz gap" issue inherent to natural nonlinear materials, we have explored artificial optical nonlinearity to successfully generate terahertz second-harmonic and third-harmonic signals at room temperature with exceptionally high equivalent nonlinear coefficients. These research findings are expected to open new possibilities for research and applications in nonlinear optics, terahertz technology, and metamaterial fields.

Longbiao Huang

Shenzhen University, China

Long-Biao Huang is currently a Professor and Doctoral Supervisor at the College of Physics and Optoelectronic Engineering, Shenzhen University, holding titles of High-Level Overseas Talent and Shenzhen High-Level Talent. Prof. Huang obtained his B.Sc. and M.Sc. degrees from Xi’an Jiaotong University, and then went to Global R&D Center of Dow Chemical as Research Chemist. In 2014, he obtained his Ph.D. degree from Center of Super-Diamond and Advanced Films, City University of Hong Kong. His research focuses on the processing, preparation, and application of functional polymer materials. Prof.Huang has published over 100 papers in relevant fields, including Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, and Science Bulletin. He has also led multiple research projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and the Shenzhen Municipal Science and Technology Innovation Commission.

Speech Title: Applications of Functional Polymers in Self-Powered Sensors

Abstract: Flexible sensors that can detect the impact of the external environment and provide corresponding feedback are widely used in smart wearable devices. Based on the working principles, sensors can mainly be divided into capacitive, resistive, piezoelectric, and triboelectric types. Among them, triboelectric sensors do not rely on an external power supply and can convert mechanical energy into electrical signals. They also offer advantages such as material versatility, simple manufacturing processes, designable structures, and low cost, making them widely applicable in health monitoring, biomedical applications, human-machine interfaces, and soft robots. However, when using self-powered sensors, the devices may be affected by mechanical forces, harsh environments, or deformation. Unpredicted damage or performance loss of self-powered sensors could be induced by the interface friction between different materials and frequent mechanical deformation. Self-healing polymer as smart materials have presented a preferred strategy to solve above problems. By applying these materials to the triboelectric layers and electrode layers of self-powered sensors, the device's lifespan can be significantly extended, enhancing safety and reliability. In recent years, a series of flexible self-healing self-powered sensors have been designed and fabricated by focusing on the design and preparation of functional polymer materials, which is in favor of the development of future sustainable and flexible sensing technology.

Xu Yan

Jilin University, China

He is from the School of Electronic Science and Engineering at Jilin University, China. His research focuses on enzyme-based sensors and detection devices for pesticides. He has published over 70 papers indexed by the Science Citation Index (SCI) as first or corresponding author in Advanced. Funct. Mater., ACS Nano and Biosens. Bioelectron. He was selected for the ‘Postdoctoral Innovation Talent Support Programme’. He is a Young Editorial Board Member for journals including Research, Wearable Electronics and the Journal of Analysis and Testing.

Speech Title: Pesticide Biosensor and Devices

Abstract: Pesticides play a critical role in modern agriculture, ensuring food security and generating enormous economic benefits. However, the massive use and inappropriate misuse of pesticides has also hindered the development of sustainable agriculture, causing food safety and environmental pollution problems. In particular, on-site analysis of pesticides is of great importance for environmental monitoring, food safety and health assessment. Enzyme-based sensor technology is currently the mainstream method for pesticide detection, but its sensitivity and stability are poor. Our group constructed a series of high-performance enzyme-based biosensors from the three aspects of sensor sensing, transducing and system to realize rapid pesticide detection in the field. We provide solutions for the realization of highly sensitive pesticide enzyme-based sensors in the design of sensing materials, the investigation of sensitization mechanism, and the construction of new analytical platforms.

Xiangyu Chen

Beijing Institute of nanoenergy and nanosystems, Chinese Academy of Sciences, China

Dr. Xiangyu Chen is a professor in Beijing Institute of nanoenergy and nanosystems, Chinese Academic of Sciences. He received his B.S. degree in Electrical Engineering from Tsinghua university in 2007 and his Ph.D. degree in Electronics Physics from Tokyo Institute of Technology in 2013. His research interests are mainly focused on self-powered nano system, smart materials, microfluidics systems and the nonlinear optical system for characterizing the electrical properties of the devices. He has been awarded by National Natural Science Foundation of China for Distinguished Young Scholar, Beijing overseas talent sea gathering project and selected as Specially-invited Expert of Beijing. He has also been selected by the Beijing Youth top talent support program. Dr. Xiangyu Chen been granted many funds with a total amount over 15 million RMB, including National Natural Science Foundation of China, Ministry of science and technology of China and Natural Science Foundation of Beijing. He has published more than 40 scientific papers as first author or corresponding author. Most of those papers are published on the top level journals, such as Chemical reviews, Science advances, Nature Communications, Advanced Materials, Materials Today and so on.

Speech Title: TRIBOELECTRIC POLYMER AND SELF-POWERED SENSORS

Abstract: The development of micro nano scale energy systems that collect energy from the surrounding environment and achieve multifunctional self-powered sensing has important practical value. Triboelectric and piezoelectric technology are similar, both of which achieve active sensing and energy generation through specific force electricity conversion mechanisms. This report focuses on the micro energy and functional sensing achieved by frictional power generation technology, with a focus on the research of self-powered micro-nano systems and wearable intelligent devices. We explain the atomic scale electron transfer phenomenon during contact electrification based on the physical model of electron cloud overlap and quantum potential wells, reveal the mechanism of the molecular structure and functional group composition of polymer materials on contact electrification, and propose a complete processing technology and modification method for preparing high-performance triboelectric polymers. Finally, we have achieved the highest surface charge density thin film electrification material currently available and prepared high output characteristic micro energy devices. Based on our previous research on piezoelectric ceramic actuators, we have extended the study of frictional electricity to areas such as plastic films and dielectric elastomer materials, virtual reality, and augmented reality technology for self-powered functional systems. We have achieved a series of novel applications in flexible sensing systems, biomimetic muscles, and other fields.

Shuangshuang Zeng

Huazhong University of Science and Technology, China

Shuangshuang Zeng is currently professor in the School of Integrated Circuits at Huazhong University of Science and Technology, China. He obtained his bachelor degree in material physics from University of Science and Technology of China in 2015 and PhD degree in microelectronics from Uppsala University, Sweden in 2020. From 2020 to 2023, he conducted postdoctoral research at Uppsala University, Sweden and ETH Zurich, Switzerland. In June 2023, he joined Huazhong University of Science and Technology as a faculty member. His research focuses on the development novel micro/nano fabrication techniques, with applications in biosensing and optoelectronic devices.

Speech Title: Nanopore Stencil Lithography: Advances and Perspectives

Abstract: Nanoscale patterning is essential for advanced microelectronic, photonic, and biosensing devices, where precise control of geometry and materials governs performance. Nanopore stencil lithography (NSL) is a resist-free nanopatterning technique that enables direct, high-resolution patterning of diverse materials with intrinsic self-alignment. This talk introduces the working principles of NSL and demonstrates deterministic nanostructure formation via material deposition through nanoscale apertures. Recent examples, including complex nanostructures and sub-100 nm organic light-emitting diode (OLED) arrays, highlight NSL as a scalable and versatile nanofabrication platform for a broad range of emerging nanoscale devices and integrated systems.

Na Liu

Shanghai University, China

Professor Na Liu is affiliated with the School of Mechatronic Engineering and Automation, Shanghai University. Her primary research interests focus on micro- to mini-scale robotics for biomedical applications including diagnosis, drug screening, and therapeutic treatment. She has published over 50 high-impact journal papers, with work appearing in Nature Communications, Advanced Science, and the IEEE Transactions series. She holds more than 20 authorized invention patents, some of which have been successfully commercialized for practical applications. Prof. Liu has led a portfolio of research projects at the national, municipal and provincial levels, supported by NSFC and the Shanghai Science and Technology Commission. Her academic distinctions include the First Prize of the Technological Invention Award (China Instrument and Control Society), the First Prize of the Shanghai Technological Invention Award, and selection for the Shanghai Sailing Talent Program.

Speech Title: Capsule robotics for gastrointestinal diseases diagnosis and treatment

Abstract: Capsule robots have emerged as a promising minimally invasive tool for gastrointestinal diseases, with core applications in sample collection and targeted drug release. For sample collection, they enable precise targeted tissue biopsy and mucosal sample acquisition via magnetic navigation, avoiding invasive procedures and improving the accuracy of lesion samples. In terms of targeted drug release, they achieve site-specific drug delivery to lesion areas under remote control, reducing systemic side effects and enhancing therapeutic efficacy. This report introduces our work on capsules for targeted-site sampling and drug delivery at multiple locations.

Hon Fai Chan

The Chinese University of Hong Kong, China

Prof. Hon Fai Chan is an Associate Professor at the School of Biomedical Sciences and the Institute for Tissue Engineering and Regenerative Medicine at the Chinese University of Hong Kong. He received his Bachelor degree from the University of Hong Kong, before pursuing his Ph.D. degree at Duke University with the support of the Sir Edward Youde Memorial Fellowships for Overseas Studies. During 2015-2017, he worked as a post-doctoral researcher at Columbia University and Massachusetts Institute of Technology before joining CUHK in 2018. Prof. Chan’s research mainly focuses on advancing biofabrication approach and biomaterial design for stem cell tissue engineering and regenerative medicine, as well as understanding how microenvironmental cues influence stem cell proliferation and differentiation. Prof. Chan has published over 70 research articles in journals such as PNAS, Science Advances, Advanced Materials, Advanced Science, Biomaterials, and Biofabrication.

Speech Title: Microfluidic encapsulation strategies for tissue engineering and regenerative medicine

Abstract: Recent advances in microfluidic technologies have offered unprecedented precision in fabricating microcarriers for cell and drug encapsulation. This presentation will explore the application of microfluidic encapsulation strategies to address critical challenges in tissue engineering and regenerative medicine. First, we will present microsphere-based strategies for delivering bioactive glass as a therapeutic agent for treating soft tissue injuries such as diabetic wound and inflammatory bowel disease. Second, we will introduce the approach of using hydrogel microsphere for encapsulating human pluripotent stem cells that supports high-efficiency 3D hepatic differentiation and the subsequent formation of functional microtissues. This approach facilitates the co-culture of liver microtissues with endothelial cells to generate complex, vascularized constructs with enhanced maturation and functional integration potential. Collectively, our work demonstrates the versatility of microfluidic encapsulation as a powerful technique for advancing biomedicine. It paves the way for next-generation therapies for organ repair and the treatment of complex chronic diseases.

Zida Li

Shenzhen University, China

Zida Li is a tenured Associate Professor and PI at Shenzhen University. He received his B.S. degree from the University of Science and Technology of China in 2012, completed short-term research training at the University of Hong Kong, and earned his Ph.D. from the University of Michigan in 2018. Since 2018, he has been with the College of Biomedical Engineering at Shenzhen University and was promoted to tenured Associate Professor in 2024. His interdisciplinary research spans microfluidics, molecular biology, and artificial intelligence, with a focus on single-molecule nucleic-acid and immunoassays, as well as single-cell sequencing. His work has been published in journals including PNAS, Advanced Science, and Analytical Chemistry, and has been supported by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, and Shenzhen medical research funding programs.

Speech Title: Label-Free Digital Nucleic Acid Tests via Precipitation Readout and Deep-Learning–Assisted Bright-Field Imaging

Abstract: Molecular diagnostics is foundational to precision medicine; however, digital PCR—despite its high analytical sensitivity—often requires fluorescent probes and dedicated optical instrumentation, limiting cost-effectiveness and portability. Here we present a precipitation-readout, label-free strategy for digital nucleic-acid quantification. The approach exploits magnesium pyrophosphate precipitates generated during loop-mediated isothermal amplification (LAMP) as a quantitative surrogate for fluorescence and couples bright-field microscopy with deep-learning–based image analysis to enable digital, low-cost, and multiplex detection. We first establish Deep-dLAMP, which performs absolute quantification in polydisperse emulsions by simultaneously inferring droplet volume and precipitation states from bright-field images. We then introduce StratoLAMP, in which primer designs with distinct concentrations induce target-specific, stratified precipitation signatures, enabling multiplex readout without labeling. Finally, StratoLAMP-2 removes microfluidic hardware by generating polydisperse droplets via vortex emulsification and applies a YOLOv11-based detection and tracking pipeline to achieve accurate multiplex digital quantification in more complex, practical workflows. Overall, this precipitation-centric framework eliminates dyes and specialized detection modules while retaining digital quantification capability. By relying solely on bright-field imaging and computational interpretation, it provides a scalable route toward multiplex, high-sensitivity nucleic-acid testing for molecular diagnostics and pathogen screening, particularly in resource-limited settings.

Guangyao Cheng

The Chinese University of Hong Kong, China

Dr. Guangyao CHENG earned his Ph.D. in Biomedical Engineering from The Chinese University of Hong Kong in 2022 and his B.E. from Sun Yat-Sen University in 2018. His research focuses on developing active and precise microfluidic systems to address challenges in high-throughput droplet manipulation and deformability cytometry, enabling advanced applications in single-cell multi-omics and point-of-care diagnostics. He has published journal articles in high-impact venues such as Advanced Materials, Chemical Society Reviews, Small, Microsystems & Nanoengineering, and ACS Applied Materials & Interfaces. Dr. CHENG was also honored with the CBMS Young Researcher Award at the 25th µTAS conference.

Speech Title: Active Photo-Responsive Fluorosurfactants for Precise Light-Driven Droplet Manipulation

Abstract: Droplet microfluidics has emerged as a powerful paradigm for high-throughput experimentation, enabling the compartmentalization of reactions for single-cell analysis, enzyme screening, and molecular diagnostics. Central to the utility of these systems is the ability to precisely manipulate individual droplets; however, conventional methods such as electrowetting or mechanical valving often require complex, pre-defined hardware and rigid chip architectures. Light-driven manipulation offers a compelling, contactless alternative, providing the flexibility to perform spatiotemporally controlled operations without integrated electrodes. In this work, we propose a novel “active” photo-responsive fluorosurfactant enabled by gold-silica core-shell (f-Au@SiO2) plasmonic nanoparticles. Unlike traditional surfactants that serve only as passive stabilizers, this functionalized interface acts as a light-responsive engine. By utilizing localized photothermal effects at the droplet boundary, we demonstrate the ability to drive precise droplet movement and programmable merging on-demand. We further extend this light-induced mobility to a "trap-and-release" application for selective sample recovery. While trapping allows for the continuous observation of biological reactions in droplets, the ability to selectively retrieve a specific "hit" droplet remains a significant challenge. By leveraging the light-driven droplet moving capability, we can selectively "drive" a target droplet out of its stationary trap on demand. Overall, by transforming the fluorosurfactant from a passive stabilizer into a light-controlled actuator, this research establishes a new paradigm for reconfigurable “smart” microfluidic platforms capable of autonomous and complex biochemical workflows.

Jiankai Zhu

University of Electronic Science and Technology of China, China

Jiankai Zhu received his Ph.D. from the Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China (UESTC), where he subsequently conducted two and a half years of postdoctoral research. He is currently an Associate Professor with the School of Electronic Science and Engineering, UESTC. His research primarily focuses on nanoelectromechanical systems (NEMS) and nanoelectromechanical sensing. He has authored multiple papers as first or corresponding author in journals such as National Science Review, Nano Letters, ACS Nano, and the International Journal of Engineering and Manufacturing, as well as in international conferences including IEEE EFTF/IFCS and IEEE NEMS. He has received the Outstanding Doctoral Dissertation Award from the Chinese Society of Micro-Nano Technology and was twice awarded Best Research Work at AVS 67 and AVS 68.

Speech Title: NEMS-Based Sensing Using Two-Dimensional Non-Layered Materials

Abstract: Two-dimensional (2D) non-layered materials, along with their unique surface properties, offer intriguing prospects for sensing applications. Introducing mechanical degrees of freedom is expected to enrich the sensing performances of 2D non-layered devices, such as high frequency, high tunability, and large dynamic range, which could lead to new types of high performance nanosensors. Here, we demonstrate 2D non-layered nanomechanical resonant sensors based on β-In₂S₃, where the devices exhibit robust nanomechanical vibrations up to the very high frequency (VHF) band. We show that such device can operate as pressure sensor over a broad range (from 10-3 Torr to atmospheric pressure), high linearity (with a nonlinearity factor as low as 0.0071), and fast response (with an intrinsic response time less than 1 μs). We further demonstrate a NEMS-based two-degrees-of-freedom (DOF) approach, which allows the simultaneous extraction of the thermal conductivity of β-In₂S₃ and the interfacial thermal conductance at the β-In₂S₃/SiO₂ interface. We find that the unusual thermal conductivity of β-In₂S₃ directly translates into an exceptional power-to-frequency responsivity of the β-In₂S₃ resonator, achieving −447 ppm/μW at 532 nm, representing the highest performance among reported drumhead NEMS-based bolometers. Our work paves the way towards future wafer-scale design and integrated sensors based on 2D non-layered materials.

Cun Li

Xi'an Jiaotong University, China

Li Cun, Professor at Xi’an Jiaotong University, Awardee of National Youth Talent Program. His research focuses on MEMS quartz resonant and silicon piezoresistive technologies, specializing in precision pressure/acceleration sensing for aerospace and petrochemical applications. In the field of MEMS sensors, he has led over 20 research projects emphasizing the design, fabrication, and control circuits for high-precision pressure/acceleration sensors. As the first or corresponding author, he has published 25 SCI-indexed papers and holds 18 authorized or pending invention patents. He has received the First Prize of the Ministry of Education for Technological Invention in 2025 (ranking 2nd) and the First Prize of the China Association of Inventions in 2024 (ranking 2nd).

Speech Title: The Development of Quartz Resonant Sensors

Abstract: High-precision acceleration sensors measure the acceleration, velocity, and position of moving carriers, serving as the information source for autonomous inertial measurement and positioning. Quartz resonant accelerometers utilize the inherent piezoelectric properties and long-term stability of quartz to enable direct frequency-based digital measurement of acceleration signals. This report addresses the demand for high-precision accelerometers in inertial navigation systems for UAVs and precision-guided equipment. It outlines the opportunities and application challenges faced by quartz resonant acceleration sensors, and presents the latest research advances from our team in quartz resonant sensor development, including vibration control methods for quartz resonators, quartz microfabrication processes, sensing structure design, and coupling interference in differential structures.

Lin Xu

Jilin University, China

Xu Lin is a Tang Aoqing Leading Professor (Class A) at Jilin University. She holds national and provincial honors such as the National Young Talent award and is recognized as an Outstanding Contribution Expert of Jilin Province. She also serves as a council member of the Jilin Society for Testing Technology and a Youth Editorial Board member for journals including Nano-Micro Letters and The Innovation. Her research centers on integrated sensing (for biological and gas detection) and optoelectronic devices. She focuses on developing high-performance sensitive materials and devices aimed at applications in disease monitoring and environmental surveillance. Prof. Xu has authored over 190 publications in prominent journals such as Advanced Materials, Chemical Society Reviews, and Advanced Energy Materials. Her work has received more than 10,600 citations, yielding an H-index of 63.

Speech Title: A Multi-mode Integrated Sensing Platform Based on Surface/Interface Regulation

Abstract: The rapid advancement of integrated and intelligent electronic technology has brought revolutionary changes to the fields of remote healthcare and environmental monitoring, significantly promoting the realization of non-invasive, real-time information tracking. By highly integrating sensors, data processing modules, and wireless communication technologies, modern electronic systems enable precise acquisition and real-time transmission of key information such as physiological signals and environmental parameters. This technological progress not only enhances monitoring efficiency but also reduces the need for manual intervention, providing robust technical support for smart healthcare and intelligent environmental management. From the perspective of micro-nano integrated functional design based on low-dimensional sensitive materials, the application exploration of related devices across multiple domains is thoroughly discussed. In the field of breath analysis, the application of semiconductor sensors in high-sensitivity detection of trace gas molecules has been explored through micro-nano fabrication technology. Meanwhile, integrated biosensor designs have been investigated for detecting specific biomarkers in bodily fluids, enabling early disease screening and real-time monitoring. In smart agriculture, the application of micro-nano sensor networks for comprehensive monitoring of farmland environments has also been explored.

Huiliang Cao

Beijing Institute of Technology, China

Professor at Beijing Institute of Technology, PhD supervisor. Selected as a national high-level young talent, executive vice president of Chongqing Microelectronics Research Institute of Beijing Institute of Technology, special young scholar of Beijing Institute of Technology, national second-level entrepreneurial consultant, IEEE Senior Member, selected as one of the top 2% of the world's top scientists. Conducts research work around intelligent sensing chip related technologies, including MEMS sensing chips, bionic MEMS chips, intelligent integrated microsystems, complex environment testing technology, etc. Presides over more than ten national/provincial/ministerial projects such as national key research and development plans (projects), national natural science funds, etc., has published 4 monographs/textbooks, over 150 SCI papers, and has been granted 46 national invention patents. Serves as an editorial board member of the "Navigation and Control" journal, a young editorial board member of the "Navigation, Positioning and Timing" and "Measurement and Testing Technology" journals, and the chief editor of a special issue of the "Micromachines" journal. Guides students to participate in various academic competitions and has won more than 40 national and provincial awards. Serves as a member of the Sensor Branch Committee of the China Instrumentation Society, a member of the Dynamic Testing Technology Professional Committee of the China Instrumentation Society, and a member of the Navigation, Guidance, and Control Professional Committee of the China Automatic Control Society. Has won the Geneva Invention Gold Award (R1), the First Prize of Technical Invention of the Instrumentation Society (R2), the First Prize of Natural Science Award of Shanxi Province (R3), the Second Prize of Invention and Entrepreneurship Achievements of the China Invention Society (R1), the Special Contribution Award of the China Association for Science and Technology (R1), and a second-class provincial teaching achievement award, among other scientific awards.

Speech Title: Intelligent monolithic three-axis MEMS gyroscope chip

Abstract: This report proposes a novel structure of monolithically integrated three-axis MEMS gyroscope based on a ring topology, which adopts a single-drive and three-detection working mechanism to achieve synchronous sensing and decoupling of three-axis angular velocities on a single chip. The modal analysis and optimization of the structure are carried out through finite element simulation, and the modal matching design is completed. In response to the inter-axis coupling problem that is prone to occur in monolithically integrated structures, a systematic analysis is conducted at the mechanism level, and a suppression strategy combining structural decoupling and electrical compensation is proposed. To rationally configure the drive and detection electrodes for each vibration mode, their electrostatic excitation efficiency and capacitive detection sensitivity are evaluated separately, ensuring the effectiveness of signal generation and extraction. Finally, a prototype of the gyroscope is fabricated based on micro-machining technology, and its basic parameters are experimentally tested.

Liaoyong Wen

Westlake University, China

Dr. Liaoyong Wen joined Westlake University in 2019 and became a Tenured Associate Professor in 2025. He earned his B.S. from Zhengzhou University (2006) and his Ph.D. from the University of Münster and the Technical University of Ilmenau, Germany (2016), followed by postdoctoral research at the University of Connecticut (2017–2019). His research focuses on intelligent fabrication of multiscale 3D metamaterials, their structure–performance relationships in optoelectronic devices and biosensors, and their integration into multifunctional, high-performance systems. He has published over 50 SCI-indexed papers in leading journals, including Nature Materials, Nature Nanotechnology, and Nature Communications, with an H-index of 36.

Speech Title: Aluminum 3D Lithography: Enabling High-dimensional Metasurface for Advanced Sensing

Abstract: Complex structures are ubiquitous in biological systems. Over millions of years, biological systems have evolved optimized functions based on the beneficial size and material properties of their unit cells, which contribute to favorable mechanical and physical properties. Inspired by these biological systems, many trial-and-error reverse-engineering and computational methods have been utilized to mimic these structures for various applications. One of the most challenging aspects is manufacturing man-made systems with controllable features spanning multiple length scales, particularly down to the nanoscale, which significantly impacts the system's collective properties. I will introduce a new concept of aluminum-based 3D lithography (AL-3Dlitho) enabled by the aluminum surface work hardening phenomenon. Combining AL-3Dlitho with different deposition methods, various high-precise homogeneous and heterogeneous multiscale materials across at least 107 length scales could be designed and fabricated. Finally, I will talk about how to understand structure-property relationships and pursue desired properties by fully utilizing the customized multiscale structures on different length scales from nano-structures to macro-structures, including 3D plasmonic metasurface-based biosensors and multiscale heterointerface-based physical sensors, as well as their multifunctional integration.

Jianlin Chen

Shanghai University, China

Jianlin Chen received the B.Eng. degree in Mechanical engineering from Jilin University, China in 2017, the M.Eng. and Dr.Eng degree in Mechanical engineering from Tohoku University, Japan in 2019 and 2022. Currently he is an associate professor in the School of Microelectronics, Shanghai University. His research topics focus on focus on high performance MEMS inertial sensors, highly sensitive coupled sensors and nonlinear dynamic in MEMS resonators.

Speech Title: Boosting Sensitivity in Resonant Sensors via Nonlinear Internal Resonance-Pumped Complementary Fano Resonance

Abstract: In this talk, we present a novel sensing mechanism termed Complementary Fano Resonance, which is systematically excited through a 1:2 nonlinear internal resonance (IR) energy pumping scheme. Our theoretical and experimental results demonstrate that the complementary Fano resonance shifts the detection metric from a standard "Peak-to-Peak" ratio to a high-contrast "Peak-to-Dip" ratio. Due to the small amplitude at the anti-resonance state (Dip), the sensitivity is enhanced by over one order of magnitude compared to traditional mode-localized sensors. This work provides a universal platform for engineering sharp spectral features in nonlinear MEMS, paving the way for a new generation of high-resolution resonant sensors capable of detecting infinitesimal physical perturbations in complex environments.

Wei Luo

Huazhong University of Science and Technology, China

Prof. Wei Luo received the B.S. degree in electronic science and technology and the Ph.D. degree in microelectronics and solid state electronics from the Huazhong University of Science and Technology, Wuhan, China, in 2004 and 2009, respectively. From 2009 to 2012, he was a Postdoctoral Fellow in the Department of Electrical and Information Engineering, Huazhong University of Science and Technology. In 2012, he joined the School of Optics and Electronic Information, Huazhong University of Science and Technology. From 2014 to 2016, he was a visiting scholar in the University of Michigan, Ann Arbor, USA. He is currently a Professor and assistant Dean with the School of Integrated Circuits, Huazhong University of Science and Technology. His research interests include high-frequency acoustic MEMS sensors for application in harsh environment, intelligent microsystems.

Speech Title: Wireless Passive Surface Acoustic Wave Gas Sensors

Abstract: This report introduces the recent advancements made by our research group in the development of wireless passive surface acoustic wave gas sensors for extreme space environments, such as low temperature and high vacuum. The progress is presented from three aspects: materials, device design, and wireless testing. Specifically: 1) Development of a silver oxide/copper-coated oxide material system enabling rapid detection of hydrogen sulfide by semiconductor materials under low-temperature vacuum conditions; 2) Establishment of a full-link model for wireless sensors, based on which a novel surface acoustic wave exceptional point sensing mechanism is proposed, improving the resolution and sensitivity of gas sensors by ninefold; 3) Invention of a new two-dimensional interdigital electrode structure that enhances the wireless readout distance of the sensor.

Qingqing Ke

Sun Yat-sen University, China

Qingqing Ke received the bachelor's and master's degrees in materials science and engineering from Northwestern Polytechnical University, Xi'an, China, in 2005 and 2008, respectively, and the Ph.D. degree in materials science and engineering from the National University of Singapore, Singapore, in 2012. She was a Research Scientist with the Institute of Materials Research and Engineering (IMRE), A∗STAR, Singapore. She is currently a professor with the School of Microelectronics Science and Technology, Sun Yat-Sen University, Zhuhai, China. Her research interests include piezoelectric film growth and acoustic device fabrication.

Speech Title: Decoupling of Temperature-Strain Signals in Surface Acoustic Wave Sensors Using Machine Learning Algorithms

Abstract: Surface acoustic wave (SAW) sensors exhibit temperature-strain cross-sensitivity, which poses significant challenges for precise temperature and strain detection in complex environments. However, currently reported decoupling methods generally increase assembling complexity of SAW sensors, therefore failing to achieve ideal decoupling performance. In this work, we proposed a scheme of decoupling the temperature-strain signal of the SAW sensor using a machine learning model, which was verified by the measurement from our developed SAW sensors. Using temperature and strain as output variables, we extracted key features from the frequency response signals of the three acoustic wave modes and constructed six machine learning models for prediction. Results show that the polynomial regression (PR) model achieved optimal overall performance across all three modes. This work provides a highly efficient and easily implementable solution for temperature-strain signal decoupling of the SAW sensors.

Zejuan Zhang

University of Electronic Science and Technology of China, China

Zejuan Zhang is currently a post doctor at University of Electronic Science and Technology of China (UESTC). She received her Bachelor's and Master's degrees at Chongqing University and the Ph.D. degree in Electronic Science and Technology from University of Electronic Science and Technology of China in 2024. And then she joined Institute of Fundamental and Frontier Sciences. Her main research field involve two-dimensional materials and related physical properties. Specifically, she has been active in the study of interlayer coupling effect in 2D materials and heterostructures under extreme conditions such as high pressure. Dr. Zhang has published more than 10 peer-reviewed papers (Reports on Progress in Physics, Applied Physics Reviews, Science China Physics Mechanics & Astronomy, National Science Review, Microsystems & Nanoengineering etc.), led 2 open research project funded by a national key laboratory, and as a key project member, participated in various national research initiatives, including key intergovernmental projects under the National Key R&D Program, the Joint Fund of the National Natural Science Foundation of China, and the Original Exploration Program of the National Natural Science Foundation of China.

Speech Title: Dynamic Strain Engineering and Lattice Modulation in Two-Dimensional WSe2 Nanoelectromechanical Systems

Abstract: Two-dimensional nanoelectromechanical systems (NEMS), owing to their atomically thin vibrating structures, can generate significant tensile strain and vertical displacement at the nanoscale. This provides an ideal platform for exploring dynamic strain engineering and cross-scale vibrational coupling in two-dimensional materials. This paper utilizes the WSe2 NEMS, a device structure with mechanical degrees of freedom, to investigate the physical properties of two-dimensional WSe2 and achieve its dynamic control. Through MHz electrical excitation, we effectively modulate the terahertz (THz) atomic lattice vibrations. Furthermore, both THz atomic lattice vibrations and MHz nanomechanical vibrations are explored in the two-dimensional WSe2 material, enabling the dynamic control of quasiparticles (excitons or phonons) through mechanical vibrations. The study focuses on the cross-scale dynamic coupling between atomic lattice vibrations and nanomechanical resonance in few-layer WSe2 NEMS.

Yu Song

City University of Hong Kong, China

Dr. Yu Song is currently a Presidential Assistant Professor at the Department of Biomedical Engineering at City University of Hong Kong. Before joining CityU, he was a postdoctoral scholar in Prof. Wei Gao's group at Caltech and he received his Ph.D. in at Peking University under the supervision of Prof. Haixia (Alice) Zhang. His research interests focus on bioelectronics, wearable sensors, advanced manufacturing, and digital medicine, to achieve wearable bioelectronics for personalized healthcare. In the related fields, he has authored over 80 publications (24 as first/corresponding author) including Science, Nature Biotechnology, Nature Electronics, Nature Biomedical Engineering, Science Robotics, Science Advances, etc., with over 10500 citations and h-index of 44, applied 18 US & China patents, and served as guest editor or independent reviewer for several journals. Dr. Song has been recognized as Clarivate Highly Cited Researcher (2025), World's Top 2% Scientist 2022-2025 (Stanford University & Elsevier Scopus) and received over 30 awards, including 2024 Forbes 30 Under 30 Asia, 2024 Microsystems & Nanoengineering Young Scientist Award, 2019 Leadership Scholarship (Committee of 100) and 2020 Excellent Doctoral Dissertation by Chinese Institute of Electronics and China Education Society of Electronics.

Speech Title: Wearable bioelectronics for machine learning-powered personalized healthcare

Abstract: In daily life, human natural physiological processes generate a diverse range of biophysical, biochemical, and electrophysiological signals that can be acquired and quantified with multimodal biosensors, providing critically insightful information for health status, qualifying human performance by predictive analytics, and establishing bidirectional communication channels for biotic-abiotic interfaces. The rising research on wearable bioelectronics enables active disease monitoring and remote health management, profoundly impacting the development of personalized healthcare. To facilitate the biomedical applications of early diagnosis, real-time monitoring, and precision therapy, I adopted a bottom-up approach, from the innovation of manufacturing schemes and material properties, preparation of sensitive biosensors, integration of high-efficient energy harvesters, incorporation of artificial intelligence models, to successful development of multimodal wearable bioelectronics. My talk on wearable bioelectronics for personalized healthcare mainly includes, skin-interfaced sweat biosensors for monitoring a wide spectrum of biomarkers (metabolites, electrolytes, proteins, hormones), and machine learning-powered health management towards precision nutrition, behavior prediction, and stress assessment. The developed wearable bioelectronics demonstrates promising prospects in at-home diagnosis, therapeutic drug monitoring, and personalized healthcare.

Shenghai Pei

University of Electronic Science and Technology of China, China

I earned my Ph.D. in Physics from Harbin Institute of Technology in January 2021. Following graduation, I conducted postdoctoral research at the Institute of Fundamental and Frontier Sciences (IFFS), University of Electronic Science and Technology of China (UESTC). In 2024, I joined IFFS as a Specially-appointed Associate Researcher. My research focuses on low-temperature and high-pressure spectroscopy of two-dimensional semiconductor materials. I have published over 30 papers in prestigious international journals, including Reports on Progress in Physics, ACS Nano, Applied Physics Reviews, Materials & Design, Physical Review B, and Applied Physics Letters. I have led and participated in multiple projects funded by the National Natural Science Foundation of China, Sichuan Provincial Natural Science Foundation, and China Postdoctoral Science Foundation General Program. I was honored with the "Outstanding Postdoctoral Researcher" award by both UESTC and the IFFS.

Speech Title: Tuning and Quantifying Electron-Phonon Coupling in 2D Cr-Based Systems

Abstract: Electron-phonon coupling (EPC) plays a crucial role in various physical phenomena, and modulating its strength is particularly important for exploring and designing high-performance materials. However, current research lacks precise methods for controlling and quantifying EPC, hindering further understanding of underlying physical processes. In this work, we investigate the quantitative tuning of EPC in CrBr3 via pressure combined with in situ spectroscopic techniques. We successfully identify unambiguous signatures of EPC—pronounced vibrational modes and strong Stokes shifts—which enable us to precisely quantify the Huang-Rhys factor S at actual sample temperatures, thereby accurately determining the EPC strength. Furthermore, we reveal that pressure can effectively modulate the EPC strength. This work provides a novel approach for tuning and quantifying EPC, offering both theoretical and technical support for exploring and designing functional materials with targeted EPC strengths.

Guozhen Shen

Beijing Institute of Technology, China

Guozhen Shen received his PhD degree (2003) in chemistry from University of Science and technology of China. He then conducted research in several counties, including Korea, Japan, US and China. Currently, he is a professor at School of Circuits and Integrated Electronics and the director of the Institute of Flexible Electronics, Beijing Institute of Technology. His research focuses on flexible electronics and printable electronics and their applications in healthcare monitoring, smart robots and related areas.

Speech Title: Flexible Eye-Wearable Electronic Materials and Devices

Abstract: Wearable soft contact lens sensors for continuous and nondestructive intraocular pressure (IOP) monitoring are highly desired as glaucoma and postoperative myopia patients grow, especially as the eyestrain crowd increases. 2D transition-metal carbides and/or nitrides, known as MXenes have been spotlighted in the field of wearable and portable devices owing to their fascinating properties including high electronic conductivity, superior transparency, excellent mechanical flexibility, hydrophilicity and biocompatibility, etc. Such diverse advantages make feasibility and applicability of using Ti3C2Tx MXene in wearable contact lens sensors, thus achieving the IOP monitoring. In this talk, we will introduce our recent work related to MXenes for eye-wearable electronic applications.

Liang Ma

Zhejiang University, China

Liang Ma, Associate Professor at the School of Mechanical Engineering, Zhejiang University, and Visiting Scholar at the University of Cambridge. He obtained his Ph.D. from Mechanical Engineering Department in University of Washington in 2012. His research include the use of 3D bioprinting technology, micro nano biomanufacturing technology, and microfluidic chip technology to accurately construct in vitro pharmacological models of diseases, and to conduct a series of new biomedical diagnostic and therapeutic methods such as drug delivery micro nano robots and disease drug screening chips. He has completed the world's first 3D micro nano structure printing in suspended living cells. He has published more than 80 high-level SCI papers including Advanced Materials, Biomaterials, Bioactive Materials, International Journal of Extreme Manufacturing, Engineering and have been cited more than 3800 times. He served as the Deputy Director of the editorial office for the journal Bio-Design and Manufacturing. (JCR Q1, IF=7.6).He serves as a committee member of multiple societies and industry associations, including the standing committee member of Organoids and Organ- on-Chip Branch of the Chinese Society of Biomedical Engineering. Authorized over 20 invention patents and won one gold medal at the 2022 Geneva Invention Exhibition.

Speech Title: Micro/nano Biomanufacturing

Abstract: Micro/nano biomanufacturing is a cutting-edge interdisciplinary field that integrates micro/ nano manufacturing technology in biomedicine. It is committed to designing, processing, and constructing structures, devices, or systems with biological functions at the micrometer to nanometer scale, and is widely used in biomedical, tissue engineering, drug development, and precision medicine. We have successfully constructed vascularized liver tissue models and liver fibrosis models, microfluidic circulating tumor cell capture chips using advanced additive manufacturing technologies such as suspension extrusion printing, two-photon polymeration(TPP), and volumetric 3D printing. We have completed the world's first micro nano three-dimensional structure manufacturing in suspended living cells. This provides a new manufacturing method for the construction of in vitro pharmacological models and the development of precision biomedicine.

Yunsheng Fang

Xi'an Jiaotong University, China

Yunsheng Fang is currently a Full Professor at the School of Life Science and Technology, Xi'an Jiaotong University. His research focuses on flexible wearable intelligent diagnosis and treatment systems and wearable ultrasound devices. As the first author and corresponding author (including co-corresponding author), he has published more than 50 papers in journals such as Advanced Materials (2), Chemical Society Reviews, ACS Nano (3), Matter (3), Joule, Materials Today (2), Advanced Functional Materials (2), Small, and Biosensors and Bioelectronics. His papers have received more than 5,000 total citations, with an H-index of 32. Six of his papers are ESI highly cited papers, and seven have been selected as cover articles. He has applied for 11 Chinese invention patents, of which 5 have been granted. He serves as a Youth Editorial Board Member for journals including The Innovation, Nano-Micro Letters, Soft Science, and so on.

Speech Title: Intelligent Wearable Biomedical Systems for Personalized Healthcare

Abstract: Wearable intelligent health management is regarded as a highly promising technical implementation for personalized medicine, which is of great significance for promoting the development of precision medicine and improving human health. However, the currently widely developed wearable technologies still face critical challenges, including poor adaptability to motion and high-humidity environments, difficulties in real-time health data acquisition and analysis, single-function health monitoring, and lack of long-term comfortable monitoring, which severely restrict their practical applications in health management. To address the above problems and challenges, the speaker has conducted research on wearable intelligent health management systems, focusing on three key aspects: based on the development of flexible functional electrodes, the fabrication of flexible and stretchable electrodes suitable for diverse bioelectronic devices has been realized; aiming at the development of personalized health management systems, multimodal biological signal monitoring including bioelectrical, physical, and chemical signals has been achieved; and starting from the monitoring of deep-body human health signals, wearable ultrasound devices with high bandwidth and high sensitivity have been developed.

Kewang Nan

Zhejiang University, China

Prof. Kewang Nan is a ZJU100 Young Professor in the School of Pharmacy at Zhejiang University, and an adjunct professor at the Second Affiliated Hospital of Zhejiang University School of Medicine. His main research efforts lie on the development of bio-electronics for closed-loop therapies and drug delivery. He completed his Ph.D. and postdoctoral training at University of Illinois at Urbana-Champaign and MIT, with Prof. John A Rogers and Prof. Robert S Langer, respectively. He is the first/corresponding author of more than 30 journal articles including Nature Materials (2018), Nature Biomedical Engineering (2022), multiple Nature Communications (2024, 2024, 2025), Science Advances (2018, 2025), and multiple Nature Reviews (2022, 2025, 2026), and held more than 10 PCT and Chinese patents. He serves as young editorial board member for Med-X and Soft Science, and was co-organizing chairs for international conferences such as the IEEE-NSENS and the BMES Annual Meeting.

Speech Title: Real-time, cross-modal genotype mapping of Drosophila larvae via simultaneous mechano-electrophysiological recording

Abstract: Drosophila larvae serve as a versatile model for elucidating gene functions relevant to human muscle and neurological disorders. Yet, conventional genotyping and phenotyping methods remain labor-intensive, low-throughput, and frequently depend on invasive or toxic procedures that perturb native physiology. In this talk, I will present a scalable bioelectronic platform that enables real-time, simultaneous mechano-electrophysiological recording from freely moving Drosophila larvae in an open three-dimensional (3D) environment, facilitating high-throughput cross-modal genotype mapping (CMGM).

Yifan Wang

Nanyang Technological University, Singapore

Prof. Wang Yifan is the Nanyang Assistant Professor at School of Mechanical and Aerospace Engineering, Nanyang Technological University Singapore, where he leads the "Robotic Materials" Group. Prof. Wang received his Ph.D. in Soft Matter Physics from The University of Chicago, USA (2016), and B.S. in Physics from Peking University, China (2011). Prior to joining Nanyang Technological University in 2020, Dr. Wang worked as a postdoctoral fellow in Department of Mechanical and Civil Engineering at California Institute of Technology, USA. Prof. Wang is an innovative applied physicist and mechanical engineer with extensive experience on soft robotics, human-machine interfaces, and advanced manufacturing. He has published papers in top international journals, including Nature, Science Robotics, Science Advances, Advanced Materials, Physical Review Letters, Matter, Advanced Functional Materials, etc. He is the associate editor of Mechanics of Materials journal, and have won numerous awards including the Healthy Longevity Global Grand Challenge Catalyst Award, Nanyang Assistant Professorship Award, Grainger Foundation Graduate Fellowship in Experimental Physics, etc.

Speech Title: Multichannel Muscle Impedance Sensing for Collaborative Human–Machine Interfaces

Abstract: The rapid development of collaborative human–machine systems has created an urgent need for reliable and comprehensive sensing of muscle states. Existing approaches often detect only active muscle signals or are vulnerable to motion-related disturbances, limiting their effectiveness in real-world applications. In this seminar, I will present a flexible, noninvasive sensing platform designed to accurately monitor muscle contraction states, including both active and passive conditions. By leveraging impedance-based sensing in a soft, skin-conformal format, the system enables stable, multi-site monitoring with reduced motion artifacts. This approach provides a robust interface between the human body and machines, offering new opportunities for intuitive control, assistive robotics, rehabilitation technologies, and next-generation wearable systems.

Changhe Sun

Yangtze University, China

Changhe Sun is currently an Associate Professor at Yangtze University. He received the Ph.D. degree in Instrument Science and Technology from Chongqing University in 2019 and then he joined Yangtze University as a specially appointed associate professor. He was honored as a Chutian Scholar of Hubei Province in 2022 and a Young Excellent Talent of Yangtze University Scholar in 2024. His primary research field covers piezoelectric MEMS sensors and nondestructive testing technology. Prof. Sun has published more than 20 peer-reviewed papers and has applied for or been granted over 10 invention patents. He has led over 7 provincial and ministerial-level research projects, including those funded by the National Natural Science Foundation of China and the Hubei Provincial Natural Science Foundation. Besides, he has led 3 provincial and ministerial-level teaching research projects and was awarded the Second Prize of the Hubei Provincial Teaching Achievement Award, the Special Prize of the Yangtze University Teaching Achievement Award, and multiple awards for teaching quality.

Speech Title: Development of Single-sided Non-collinear Frequency Mixing Ultrasonic Transducer (FMUT) for Micro-Defect Detection in Pipeline Welds

Abstract: During the welding and long-term service of oil and gas pipelines, stress concentration in the weld area is prone to induce the formation and growth of micro-defects, thereby seriously threatening the structural integrity of the energy delivery systems. At present, for the micro-defects in the welds of oil and gas pipelines, there is still a lack of systematic nonlinear ultrasonic detection and positioning methods as well as dedicated transducer probes. Herein, a single-sided non-collinear frequency mixing ultrasonic transducer (FMUT) is developed and specialized for detecting the micro-defects in the pipeline welds. By mathematically modelling and systematically analyzing the optimal resonance conditions of two different incident ultrasounds, the single-sided non-collinear frequency mixing mechanism of dual-frequency ultrasounds is established to promote the design of the FMUT probe. Both the simulation and experimental results demonstrate that the proposed FMUT can effectively detect common micro-defects in the oil and gas pipeline welds, such as cracks, gas pores, incomplete penetration, incomplete fusion, and slag inclusion. In addition, a micro-defect location method based on the sliding rectangular window and time-frequency analysis has been proposed, achieving high-precision positioning of micro-cracks in the oil and gas pipeline welds with a relative error of only 0.8%. This work presents an easy-to-operate and effective single-probe ultrasonic mixing methodology to integrate micro-defect detection capability with precise positioning, remarkably expanding the adaptability of existing nonlinear ultrasonic testing technologies in complex engineering structures.

Guoliang Ying

Sichuan University, China

Guoliang Ying, Associate Professor and PhD Supervisor, is recognized as a Young Talent of the Sichuan Tianfu Emei Program, an Overseas Distinguished Talent of Sichuan Province, an expert of the Chengdu Tianfu Haizhi Program, and a member of the A Program of the "Double Ten Talent" Initiative at the West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University. He completed postdoctoral training at Harvard Medical School, University of Antwerp, and Imperial College London, and has published over 30 research articles in high-impact journals, including PNAS、Adv. Mater.、Adv. Funct. Mater.、ACS Nano、Matter, with 5 papers in journals with an impact factor above 10, 5 cover papers, 1 ESI highly cited paper, and 1 hot paper. He serves as a member of the POCT Committee of the Chinese Association for Analytical Testing, a member of the Expert Database of the Chengdu Municipal Bureau of Industry and Information Technology, a senior member of the Chinese Society of Biomedical Engineering, and a senior member of the Chinese Society for Micro-Nano Technology, and is a topical editor/guest editor for Micromachines as well as a reviewer for internationally authoritative journals including Advanced Materials, Advanced Functional Materials, and Biomaterials. He has led multiple research projects, including the NSFC General Program, Sichuan Province General Program, and Sichuan Tianfu Emei Program projects.

Speech Title: Mesenchymal Stem Cell–Laden Porous Injectable Bioprinted Hydrogel for Glottic Insufficiency

Abstract: Glottic insufficiency (GI) secondary to unilateral vocal fold paralysis (UVFP) compromises phonation and swallowing, diminishes quality of life, and in severe cases can result in fatal airway obstruction. Injection laryngoplasty using autologous adipose tissue or biocompatible fillers remains a mainstay of treatment. However, its long-term efficacy is frequently compromised by postoperative inflammation, material migration, and limited durability, restricting sustained functional restoration. Three-dimensional (3D) bioprinting is an advanced precision manufacturing technology that enables the fabrication of patient-specific constructs matching the morphology of vocal fold defects. In our previous work, we developed a GelMA/PEO aqueous two-phase bioink that enables the direct printing of cell-laden porous hydrogel constructs. This phase-separation–based strategy allows controllable pore formation while maintaining structural integrity, thereby facilitating efficient mass transport and high cell viability. In the recent study, we engineered an injectable hierarchically porous hydrogel construct encapsulating human adipose-derived mesenchymal stem cells (hADSCs) to promote glottic adipose tissue regeneration and restore vibratory function. By precisely tuning material composition and printing parameters, the resulting hydrogels exhibit well-defined, interconnected hierarchical porosity. Their mechanical properties closely approximate those of native glottic tissue, with favorable biocompatibility and viscoelastic behavior that recapitulates physiological characteristics. Importantly, the constructs maintain structural stability during and after in situ injection. In rabbit and canine models, the constructs gradually degrade as encapsulated hADSCs proliferate and differentiate into vocal fold adipocytes, promoting reconstruction of the glottic adipose layer. This coordinated process restores glottic structure and vibratory symmetry, enhances mucosal wave propagation, and improves phonatory function. Histology confirms organized collagen deposition and effective tissue remodeling. Together, the injectable platform combines patient-specific bioprinting, mechanical compatibility, and cell-mediated regeneration, providing a translationally viable approach for durable anatomical and functional recovery of GI.

You Meng

Hunan University, China

Dr. MENG You is a Professor in the College of Semiconductor (College of Integrated Circuit) at the Hunan University. He received Ph.D. degree in Physics and Materials Science from the City University of Hong Kong. His research interests mainly focus on nanomaterials-based electronics and optoelectronics. So far, Dr. MENG has published over 100 SCI papers, including Nature Materials, Nature Communications, Science Advances, etc.

Speech Title: Tellurium Semiconductors and Devices

Abstract: Complementary Metal-Oxide-Semiconductor (CMOS) technology is the cornerstone of modern information technology due to its low power consumption and high noise immunity. However, the localized valence bands and self-compensating defects in p-type inorganic semiconductors result in low hole mobility, making it difficult to complement n-type semiconductors. This bottleneck severely restricts the further development of CMOS technology. Tellurium (Te)-based semiconductors, as novel hole-transport materials, are regarded as an ideal material system to break through this technological barrier. This study addresses key scientific and technological challenges in the application of Te-based semiconductors: (1) developing a scalable fabrication process combining multiscale van der Waals epitaxial growth with low-temperature oxygen implantation, successfully achieving high-hole-mobility p-type transistor arrays; (2) revealing the photothermoelectric coupling effect and strain-regulated ferroelectric polarization mechanism in Te-based semiconductors, enabling broadband photodetection and efficient mechanical energy harvesting; (3) by optimizing back-end process compatibility, pioneering the low-power integration of Te-based devices with standard CMOS circuits.

Qianbo Lu

Northwestern Polytechnical University, China

Lu Qianbo, Full Professor, Ph.D. Supervisor, a National-Level Young Talent, and ranked in the top 2% of scientists worldwide by Elsevier. He is a Ph.D. jointly trained by Zhejiang University and Yale University, and is currently a tenured professor at the Institute of Flexible Electronics, Northwestern Polytechnical University. His primary research focuses on the rational design of micro-optical inertial sensors and intelligent flexible sensing. He has developed μg-level optical accelerometers, ng-level micro-vibrometers, and picometer-level optical displacement sensors, which have been successfully applied in fields such as aviation and weaponry. He has led six national projects and six provincial and ministerial projects and has been selected for the "Postdoctoral Innovative Talents Support Program". The related technologies and achievements have been awarded two first prize and one second prize in the science and technology awards by China Invention Association and Chinese Society of Aeronautics and Astronautics.

Speech Title: Computational Intelligence-Aided Design of Free-Form Sub-μg MOEMS Accelerometers

Abstract: The micro-optomechanical accelerometer integrates the advantages of precision optical measurement and MEMS, representing a novel form of accelerometer capable of achieving sub-μg acceleration measurement on a chip. Our team has established a computational intelligence-aided freeform rational design methodology to address the challenges of complex multi-physics coupling mechanisms and the generally inefficient and non-collaborative design tools for micro-optomechanical accelerometers. Our team has designed and fabricated ng-level accelerometers/gravimeters. We have also designed and fabricated picometer-level optical displacement measurement units. Additionally, we have collaborated on the development of optoelectronic accelerometers for inertial navigation, leading domestically in indicators.

Weipeng Xuan

Hangzhou Dianzi University, China

Weipeng Xuan is a Professor and Ph.D. Supervisor at the School of Electronics and Information, Hangzhou Dianzi University. His research focuses on piezoelectric acoustic devices and piezoelectric MEMS systems, including SAW/BAW RF devices, piezoelectric MEMS micro-pumps, and piezoelectric acoustic integrated circuits for applications in wireless communication and microfluidic systems.

Speech Title: Piezoelectric MEMS Micro-Pumps and Their Applications in Medicine and Chip Cooling

Abstract: Piezoelectric MEMS micro-pumps have emerged as a key enabling technology for precise micro-scale fluid actuation, offering solid-state operation, compact form factors, low power consumption, and high reliability. By utilizing the electromechanical coupling of piezoelectric thin films to drive diaphragm deformation, these pumps achieve controllable volumetric displacement without rotating components, making them uniquely suited for both biomedical systems and advanced electronic thermal management. In this talk, we will repport our progress of micropump and their use medical and thermal cooling applications.

Nan Jiang

Sichuan University, China

Nan Jiang, a Professor and Doctoral Supervisor, holds the titles of National Outstanding Young Talent (Overseas High-level), Distinguished Young Talent in Science and Technology of Sichuan Province, and Fellow of the International Association of Advanced Materials (IAAM). She is a member of Sichuan University's "Double Hundred Talents Program" and has engaged in research and visiting work at Harvard University, Imperial College London, and Stanford University. Currently, she works at Sichuan University's West China School of Basic Medical Sciences and Forensic Medicine, serving as a member of the College's Professor Committee, Sub-Committee of the Academic Degree Evaluation Committee, and director of the "Bioprinting and Medical Sensing" Laboratory. She also holds positions in several academic societies, including related branch members of micro-nano technology, biomaterials and biomedical engineering. She has published 79 high-level academic papers, including 47 first or corresponding author papers in top international journals such as PNAS, Matter, Adv. Mater. (2 papers), Mater. Today, Adv. Funct. Mater. and Biosens. Bioelectron. Among them, 24 papers have an impact factor greater than 10, including 5 journal cover papers, 1 ESI Highly Cited Paper and 1 ESI Hot Paper, with a total of more than 5,400 citations and an H-index of 40. She has applied for 15 invention patents, including 9 authorized Chinese invention patents, 1 authorized US invention patent and 3 utility model patents, with 1 technological achievement transfer and 1 participated industry standard. Her scientific and technological achievements have incubated 2 technology-based enterprises and been reported by mainstream media such as Guangming Daily, CNN (USA) and BBC (UK). She has won honors including the "Honorable Mentions" Award at ISWC, the "Young Scientist Medal" of IAAM and the "Excellence in Innovation" Award of Harvard Medical School, and has presided over or mainly participated in more than 10 national and provincial research projects.

Speech Title: Hofmeister Effect-Mediated Room-Temperature Direct Ink Writing 3D Printing and Sensing Research of F127DA

Abstract: 3D printing and medical sensing represent promising directions in biomedical engineering. Here we present our recent advances: We integrated fluorescence oxygen sensing with organ-on-a-chip, fabricating flexible PtOEP-doped PDMS membranes for in-situ dissolved oxygen detection (Proc. Natl. Acad. Sci. 2024).For 3D printing, we developed aqueous two-phase GelMA/PEO inks to one-step prepare porous microspheres (Adv. Mater., 2018), and realized in-situ GelMA printing via a handheld 3D printer (Mater. Today Bio, 2018). We have also explored the 3D printing applications of other materials beyond GelMA. Pluronic F127 dimethacrylate (F127DA) exhibits considerable potential for biomedical applications owing to its excellent biocompatibility, favorable mechanical toughness, high transparency, and thermosensitive behavior. 3D printing is pivotal for F127DA's practical application by enabling on-demand customized sensor fabrication, compared to digital light processing (DLP) printing, direct ink writing (DIW) offers more advantages over including simplified equipment, reduced manufacturing cost. However, DIW requires inks with high viscosity, F127DA can only form high‑viscosity physical gels at elevated temperatures, and such stringent conditions severely restrict its practical applications. Leveraging the Hofmeister effect, lithium chloride (LiCl) was introduced to weaken hydrogen bonding between polyethylene oxide (PEO) segments of F127DA molecular chains and water molecules, thereby reducing the hydration shell thickness and lowering the gelation temperature of 20 wt% F127DA from 30°C to 22°C. This modification enabled stable, high-precision room-temperature DIW while effectively preserving the intrinsic rheological properties of the ink. The 3D-printed F127DA structures were employed for constructing photochemical and electrochemical sensors, which exhibited excellent detection linearity and high sensitivity benefiting from F127DA's optical transparency and LiCl-enhanced ionic conductivity. A portable handheld 3D printer was independently developed for lightweight, in-situ fabrication. This work establishes a low-cost, customizable technical route for F127DA-based hydrogel sensors.

Guang Yao

University of Electronic Science and Technology of China, China

Dr Yao has spearheaded pioneering research in flexible diagnostic and therapeutic electronic devices, focusing on critical scientific challenges such as in-situ multimodal sensing diagnosis, physical field intervention therapy, and their correlation models. His research has yielded 70 articles published in SCI journals, with 20 first- or corresponding-authored papers appearing in prestigious international journals such as Nat. Commun., PNAS、Sci. Adv., and Sci. Bull. These publications have garnered over 3000 citations. Additionally, he has secured 21 Chinese patents and 1 US patent and has delivered 6 oral presentations at international academic conferences. Furthermore, the applicant has collaborated with industry partners and hospitals to conduct trials of devices, thereby accelerating their industrial applications.

Speech Title: Flexible diagnostic and therapeutic electronic devices

Abstract: Bioelectronic devices play a crucial role in establishing a Human-Machine Interface (HMI) for real-time monitoring of human physiological signals, offering timely interventions in disease management, a fundamental requirement for comprehensive health management spanning from diagnosis to therapy. To meet portability and suitability, the HMI field has witnessed significant progress in developing flexible bioelectronic devices driven by advancements in modern technologies. Flexible bioelectronics subverts the physical form and breaks through the bottleneck of traditional rigid electronics, which maintains high performance and reliability and introduces the transformative features of bendability and stretchability. Developing diagnostic and therapeutic electronic devices forms the cornerstone of intelligent healthcare systems. Stretchable, flexible diagnostic and therapeutic electronic devices can adapt to the human body, enabling precise physiological signal sensing and targeted stimulation interventions. These devices are crucial for early diagnosis and treatment of major diseases, enhancing health protection and the efficiency of medical resource utilization. Developing integrated and multifunctional flexible devices, with sensors at their core, is essential to meet the diverse needs of applications like intelligent health management systems. Our work focuses on the core issue of "elastic strain regulation function integration" in these devices, focusing on three key areas: co-sensing of complex functional interfaces under significant deformation, collaborative intervention through multi-field sensing and transducers, and feedback mechanisms in flexible systems. It also covers advances in physical and chemical sensing, damage repair, neural regulation, and human-computer interaction. The progress in sensing, diagnosis, and interventional treatment technologies has synergistically expanded the application of devices into integrated diagnosis and treatment. This evolution is poised to introduce a new era of electronic devices dedicated to precision medicine and health management.

Hongsen Niu

University of Jinan, China

Associate Professor of School of Information Science and Engineering, University of Jinan, discipline leader, selected for the Special Program for Overseas Talent Attraction of the Ministry of Education, and Excellent Young Scholars of Shandong Province (Overseas). Main research areas: Design and preparation of intelligent tactile sensors; Design and integration of perception and cognitive systems; Advanced integrated circuit manufacturing processes. In the past five years, he has published more than 40 SCI papers, including 25 SCI papers as the first/corresponding author in journals such as Adv. Mater. (*2), Adv. Funct. Mater. (*7), Nano Lett., Adv. Sci., and 6 ESI highly cited & hot papers.

Speech Title: Micro/Nano-Morphological-Engineering-Based Bionic Tactile Sensors and Intelligent Cognition Systems

Abstract: Tactile perception refers to the ability to directly acquire contact/non-contact information through the human skin, which relies primarily on the unique and perfect biological structure inside and outside the skin. Furthermore, tactile cognition, as a deeper manifestation of tactile perception, converts the sensory information acquired by the skin into bioelectrical impulses, which are then transmitted to the central nervous system of the brain via afferent nerves. Through complex analysis, processing, and learning, deeper and more difficult-to-measure information can be obtained. Here, based on advanced micro-nano manufacturing technology and combined with bionic sensing technology, we develop tactile sensors and their cognition systems adapted to the process of intelligentization.

Cheng Zhang

Fudan University, China

Dr. Cheng Zhang received his B.Sc. (2014) and Ph.D. (2019) in Physics from Fudan University, complemented by a joint Ph.D. program at the University of Washington (2017–2018). In 2019, he joined the Institute for Microelectronics and Quantum Computer Systems at Fudan University as an Assistant Professor, and was promoted to Professor in 2022. Dr. Zhang has been selected for several competitive talent programs, including the National High-level Talent Program (Youth Top-notch Talent), the Shanghai Oriental Talent Program, and the Shanghai Shuguang Scholar. He currently serves as Principal Investigator for a Young Scientist Project under the National Key R&D Program, as well as projects supported by the Major Research Plan and General Program of NSFC. His research centers on quantum transport phenomena in low-dimensional systems, acoustoelectric effects, and novel electronic devices. He is recognized for pioneering contributions such as the discovery of three-dimensional quantum Hall effects based on Weyl orbits, ultrahigh conductivity of topological Fermi arcs, and oscillating acoustoelectric effects. Dr. Zhang has authored more than 50 publications in leading international journals, including Nature, Nature Materials, Nature Reviews Physics, and Physical Review Letters.

Speech Title: TBA

Abstract: Surface acoustic waves (SAW) couple with charge carriers via piezoelectric fields, enabling highly sensitive control and detection of charge transport in low-dimensional quantum systems. In recent years, focusing on the application of acoustoelectric effects in low-temperature and high-magnetic-field conditions, we have systematically developed new methods for characterizing quantum transport based on on-chip SAW devices, achieving significant progress in low-dimensional quantum systems and moiré superlattice systems. Using on-chip SAW devices, we realized steady-state acoustoelectric voltages generated by the directional motion of carriers dragged by acoustic waves, observing their sensitivity to propagation direction and acoustoelectric Hall responses under magnetic fields. Combined with gate voltage and magnetic field tuning, this method can precisely characterize quantum oscillations, Landau quantization, and Fermi surface structures. Furthermore, through pulsed coherent acoustic probing, we observed oscillatory acoustoelectric effects driven by acoustic fields, extracting key dynamic parameters such as carrier relaxation times and acoustoelectric coupling strengths. On another front, utilizing high-Q SAW resonators to measure acoustic attenuation and changes in sound velocity, we achieved non-contact high-frequency detection of quantum phases such as correlated insulating states, Landau levels, and Chern insulating states in moiré superlattice systems, revealing their frequency-dependent conductivity and incompressible state characteristics. The acoustoelectric technology developed in this study enables sensitive characterization of Fermi surfaces, carrier dynamics, and correlated quantum phases in low-dimensional quantum materials under magnetic fields, providing a new technological platform for exploring frontier areas such as topological states and correlated phenomena.

Junxiong Hu

University of Electronic Science and Technology of China, China

Hu Junxiong, Professor at the School of Physics, University of Electronic Science and Technology of China (UESTC), and a recipient of the National Youth Talent Award. He obtained his PhD from the National University of Singapore (NUS) in 2021 and subsequently worked as a Senior Postdoctoral Fellow. In 2024, he was honored with the National Youth Talent Grant and joined UESTC full-time. His primary research focuses on novel information materials and devices, with particular emphasis on emerging information devices such as magnetic detection, magnetic sensing, and spin transport. To date, he has published over 15 papers as corresponding author or first author in high-impact international journals, including Nature Materials, Nature Nanotechnology, and Nature Communications. His works have been cited as representative contributions in the field by top-tier academic publications such as Nature. As the sole Principal Investigator (PI), he has secured funding from the Ministry of Education (MOE) Tier 1 Academic Research Fund and the National Youth Independent Research Fund (YIRG) in Singapore. He has received numerous accolades, including the IEEE Magnetism Society Gold Award in Singapore, the NUS Graduate Student Excellence Award, the Materials Research Society Singapore Gold Medal, and the NUS Physics Breakthrough Award.

Speech Title: TBA

Abstract: In the realm of materials, there are moiré patterns, and then there are super-moiré patterns. Moiré patterns are common, but super-moiré patterns are rare. Traditional moiré superlattices primarily feature a single moiré pattern. However, when two moiré patterns interact at an interface, they can give rise to a new structure known as a super-moiré lattice. Compared to conventional single moiré systems, this super-moiré structure expands the tunable dimensions of moiré quantum materials and is regarded as the "next generation of moiré quantum materials." In this presentation, I will discuss the novel and unique physical properties of graphene super-moiré, including exotic magnetotransport behavior in quantum critical states and linear temperature dependence induced by electron-phonon coupling. Finally, I will explore the realization of topological flat bands in monolayer graphene using super-moiré structures and the potential for strongly correlated states.

Junrui Zhang

Chongqing University of Technology, China

Junrui Zhang, is currently a Professor at Chongqing University of Technology (CQUT), serving as Director of the Chongqing Engineering Research Center for Intelligent Minimal & Non-invasive Medical Devices, CQUT Brain Computer Interfaces R&D Center. He received his Ph.D degree from the École Polytechnique Fédérale de Lausanne (EPFL) from Switzerland in 2019. Prof. Zhang developed a 3D-EMG-ISFET biosensor process that eliminates the traditional compromise between high performance and wafer-level reproducibility. The technology was licensed to a Swiss high-tech firm and helped secure CHF 10.5 million in funding, with Mayo Clinic among the investors. In 2021, he co-founded an innovative medical device company as Chief Technology Officer, securing over 100 million RMB in funding. Prof. Zhang's current research interest is in designing soft electronic materials that match biological tissue in mechanics, electrics, and chemistry, creating conformal sensors and flexible semiconductors for continuous clinical monitoring. His goal is to make minimally invasive human-machine interfaces routine.

Speech Title: Applications of Flexible Electronics in Biosensing

Abstract: Biosensing and flexible microsystems are reshaping paradigms in health monitoring and human-machine interaction. This report focuses on two cutting-edge technologies: 1. Wearable electrochemical sensors enable dynamic monitoring of chemical biomarkers in body fluids. Data is wirelessly transmitted to intelligent terminals, where multi-biomarker fusion algorithms establish health baselines. This technology is applied to diabetes early warning, exercise evaluation, and cardiovascular disease screening, advancing precision health management toward continuous monitoring. 2. Flexible, stretchable electrode arrays feature skin-like elastic modulus designs that conformally attach to the body for 24-hour wireless acquisition of EEG, ECG, and EMG signals. Innovatively integrated micro-thermal control and electrical stimulation modules provide closed-loop feedback interventions for neck myofascial tissues, alleviating muscle fatigue and offering portable solutions for rehabilitation medicine. Both technologies possess mass-manufacturing potential and demonstrate broad industrial prospects in smart healthcare, sports wellness, and human-machine interaction domains.

Zonghong Lin

National Taiwan University, Taiwan

Dr. Zong-Hong Lin received his PhD from the National Taiwan University (NTU) in 2009 and continued with his postdoctoral research at the NTU and the Georgia Tech during the years of 2010-2014. Subsequently, Dr. Lin joined the Institute of Biomedical Engineering, National Tsing Hua University (NTHU) as Assistant Professor in 2014 and was successfully promoted to Associate Professor and Full Professor in 2017 and 2021, respectively. In 2023, he moved to the Department of Biomedical Engineering at NTU. He has published more than 190 SCI papers, as well as received recognition for his research contribution, such as Wu Ho-Su Medical Award of the Taiwan Bio-Development Foundation (2025), Young Scholar Innovation Award of the Foundation of the Advancement of Outstanding Scholarship (2025), Outstanding Research Scholar of the Lee Chao-Jen Foundation (2024), CHEN-YUNG Chair Professor (2023) of NTU, Top 1% Outstanding Scholarly Publication Award of NTU (2025), Academic Excellence Award－College of Engineering of NTU (2023), Fellow of the Royal Society of Chemistry (2022), Outstanding Research Award of the Taiwan National Science and Technology Council (NSTC) (2023), Future Tech Award of the Taiwan NSTC (2021, 2022, 2023 and 2024), Ta-You Wu Memorial Award of the Taiwan NSTC (2021), Young Scholar Fellowship of the Taiwan NSTC (2020), IEEE-NANOMED New Innovator Award (2019) and Young Investigator Award of the NTHU (2018).

Speech Title: TBA

Abstract: Understanding charge transfer at material interfaces is a central issue in surface science and is critical for the development of next-generation functional devices. Triboelectrification, originating from interfacial contact and separation, provides a unique platform to study surface-dependent charge transfer while enabling energy-autonomous sensing. In this work, we present our recent advances in solid–liquid triboelectric nanosensors (SL-TENSs), with a particular focus on interfacial charge transfer mechanisms and surface chemistry regulation. By integrating triboelectrification with electrostatic induction, surface-engineered materials can convert interfacial physicochemical interactions into measurable electrical signals without external power sources. Unlike conventional solid-solid triboelectric systems, solid-liquid interfaces offer richer surface states, dynamic adsorption behaviors, and tunable electrical double-layer effects, making them highly suitable for probing surface-dependent phenomena. We demonstrate that selective adsorption or binding of target species, such as metal ions, small molecules, proteins, and microorganisms, modulates interfacial charge transfer characteristics, leading to distinct and quantifiable electrical responses. Systematic surface modification and material selection enable correlation between surface chemistry, interfacial charge density, and output signal evolution, establishing a clear sensing mechanism grounded in surface science. These results not only address key limitations of traditional triboelectric devices in stability and selectivity but also provide new insights into solid–liquid interfacial electrification. This study highlights the potential of SL-TENSs as both practical self-powered sensors and experimental platforms for investigating interfacial charge transfer and surface phenomena.

Feihong Bao

University of Electronic Science and Technology of China, China

Feihong Bao received the Ph.D. degree in Circuits and Systems from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2020. And then he joined Shanghai Huawei Technology Co., Ltd, Shanghai, China, as a Radio Frequency Engineer. From 2021 to 2023, He joined Fudan University, Shanghai, China, as a Postdoctoral Researcher. He is currently an Associate Professor with the Yangtze Delta Region Institute (Huzhou) and School of Electronic Science and Engineering, UESTC. His research field include RF MEMS, acoustic wave devices, telecommunication front-end technologies, and flexible devices.

Speech Title: Bandwidth Reconfigurability of SAW Filters via IDT Configuration for 5G Multi-Band Monolithic Integration

Abstract: This talk presents a reconfigurable surface acoustic wave (SAW) ladder filter design for monolithic multi-band integration in 5G systems, enabling precise reduction of ineffective (out-of-band) bandwidth through controlled reconfiguration of the resonator's effective electromechanical coupling coefficient (k2 eff) via interdigital transducer (IDT) electrode configuration adjustments. By modifying the positive-to-negative electrode ratio, the electric field intensity is modulated, thereby achieving reconfigurable k2 eff. Finite element method (FEM) simulations demonstrate the resulting changes in electric field distribution and k2 eff. In the simulation, the k2 eff of the series resonator was reduced by half through this approach, and the bandwidth of the constructed n78 and n79 filter was tuned. Experimental results confirm the reconfigurability, with the series resonators in n78 and n79 bands exhibiting a halved k2 eff, which effectively narrows the filter bandwidth while preserving the series resonance frequency. This approach paves a promising path for future monolithic tunable SAW resonators and filters in 5G and beyond.

Haisong Lin

Westlake University, China

Dr. Haisong Lin is currently serving as an assistant professor at the School of Engineering, Westlake University. He earned his B.S. degree in Electrical and Computer Engineering from Iowa State University in 2016, after which he pursued his Ph.D. in Electrical and Computer Engineering at Prof. Sam Emaminejad's Interconnected & Integrated Bioelectronics Laboratory at the University of California, Los Angeles (UCLA) from 2016 to 2021, and continued as a postdoctoral researcher in the same group until 2022. From 2022 to 2024, he served as a research assistant professor in the Department of Mechanical Engineering at the University of Hong Kong and Co-Principal Investigator at Hong Kong Advanced Biomedical Instrumentation Centre. He joined the School of Engineering at Westlake University in June 2024 as an assistant professor, leading the Laboratory for Biochips & Biosensors.

Speech Title: TBA

Abstract: The industrial revolution brought about by automated robots is accelerating our production and daily life while reducing time and labor costs. Similarly, new biochemical experimental robot platforms are expected to bring about a revolution in various fields, such as medical diagnostics, omics research, drug development, and chemical and materials synthesis. In this presentation, the speaker will showcase the liquid droplet robot platform developed by their team. This platform consists of multiple liquid droplet robots working collaboratively to perform fully automated sample processing on a palm-sized platform, including operations such as transportation, separation, classification, and mixing. By integrating with biosensors, biological reagents, and intelligent algorithms, it enables portable and efficient detection of key biomarkers for human diseases.

Mengdi Han

Peking University, China

Dr. Mengdi Han is an Assistant Professor in the Department of Biomedical Engineering, College of Future Technology, Peking University. He received his B.S. degree in Huazhong University of Science and Technology in 2012 and Ph.D. degree in Peking University in 2017. He was a visiting Ph.D. student at Department of Materials Science and Engineering, University of Illinois Urbana-Champaign from 2015 to 2017. He worked as a postdoctoral fellow at Querrey Simpson Institute for Bioelectronics, Northwestern University from 2017 to 2020. He published more than 100 SCI-indexed papers, including first/corresponding author papers in Nature Electronics, Nature Biomedical Engineering, Science Translational Medicine, Science Robotics, Science Advances, PNAS, Advanced Materials, etc. His research group focuses on the engineering of miniaturized biomechanical sensing platforms with advanced sensing capabilities. His research has been recognized with many awards including Microsystems & Nanoengineering Young Scientist Award (2020), MIT Technology Review Innovators Under 35 Asia Pacific (2021), iCANX Young Scientist Award (2024), and Asian Young Scientist Fellowship (2024).

Speech Title: TBA

Abstract: Implantable sensors can directly interface with various organs for precise evaluation of health status. However, extracting signals from such sensors mainly requires transcutaneous wires, integrated circuit chips, or cumbersome readout equipment, which increases the risks of infection, reduces biocompatibility, or limits portability. Here, we develop a set of millimeter-scale, chip-less, and battery-less magnetic implants paired with a fully integrated wearable device for measuring biophysical and biochemical signals. The wearable device can induce a large amplitude damped vibration of the magnetic implants and capture their subsequent motions wirelessly. These motions reflect the biophysical conditions surrounding the implants and the concentration of a specific biochemical depending on the surface modification. Experiments in rat models demonstrate the capabilities of measuring cerebrospinal fluid (CSF) viscosity, intracranial pressure, and CSF glucose levels. This miniaturized system opens the possibility for continuous, wireless monitoring of a wide range of biophysical and biochemical conditions within the living organism.

Chuanyu Han

Xi'an Jiaotong University, China

Chuanyu Han is currently an Associate Professor with tenure at Xi'an Jiaotong University (XJTU). He received his Ph.D. degree in Microelectronics from the University of Hong Kong in 2015. Following his doctoral studies, he worked as a Research Scientist at the Hong Kong Polytechnic University. In 2016, he joined Xi'an Jiaotong University as an Assistant Professor and was promoted to tenured Associate Professor in 2021. His research interests include neuromorphic devices and sensing systems, memristors, thin-film transistors, bioelectronic sensors, spiking neural networks, and their hardware implementations. Assoc. Prof. Han has published more than 90 peer-reviewed papers in journals including IEEE Electron Device Letters, Applied Physics Letters , ACS Sensors, and Nano Research. He has delivered over 10 conference presentations and is an inventor on more than 10 authorized invention patents. He has presided over 1 National Natural Science Foundation of China (NSFC) Young Scientist Program and 2 NSFC General Programs. He currently serves on the Young Editorial Board of Medical Gas Research and Journal of Nanotechnology and Smart Materials.

Speech Title: Neuromorphic Sensing System Based on Threshold-Switching Memristor

Abstract: The recent surge of interest in cutting-edge artificial intelligence has stimulated considerable research attention toward neuromorphic computing and sensing, which emulate the functions of biological neural systems. Artificial spiking neurons serve as critical components in neuromorphic systems. Threshold-switching memristors based on NbOx and VOx Mott insulators can generate stable oscillating electrical spikes in a single device with a simple sandwich structure, thus facilitating the emulation of biological neurons. This presentation will introduce our research achievements in neuromorphic sensing systems based on threshold-switching memristors, including device structure and electrical characteristics, neuromorphic sensing architecture, and hardware implementation.

Zhenlong Huang

University of Electronic Science and Technology of China, China

Zhenlong Huang is currently an Associate Professor at the School of Materials and Energy, University of Electronic Science and Technology of China (UESTC). He received both his Bachelor's (2012) and Ph.D. (2017) degrees from UESTC. From 2015 to 2017, he conducted academic research as a visiting scholar at the University of California, San Diego, focusing on stretchable electronics. In 2018, he joined Huawei Technologies Co., Ltd. as a senior engineer, where he worked on wearable sensor for blood pressure measurement. He returned to UESTC in 2022 to pursue academic research and teaching. His research interests include the three-dimensional integration of stretchable electronics, fabrication strategies for flexible sensors, and the development of wearable systems for health monitoring. He has published multiple research papers as the first author or corresponding author in prestigious journals such as Nature Electronics, Advanced Materials, Advanced Functional Materials, ACS Nano, and others.

Speech Title: Three-dimensional Integrated Stretchable Devices

Abstract: Stretchable devices have attracted increasing attention for applications in healthcare, human–machine interaction, and bioinspired robotics, owing to their mechanical compliance and adaptability to soft and deformable surfaces. However, most existing stretchable systems rely on single-layer, planar integration, in which sensing elements and interconnects are arranged laterally. Such architectures impose fundamental constraints on integration density and functional scalability, limiting the realization of multi-sensing and system-level functions in compact devices. To address these challenges, the development of three-dimensional integration strategies is urgently needed to enable multilayer stacking of stretchable devices and substantially enhance functional density. This presentation introduces a three-dimensional integration technique based on laser-selective etching, which enables multilayer stacking of stretchable devices with significantly improved integration density. Furthermore, by integrating laser direct writing, this approach allows the direct fabrication of stretchable sensors on non-planar and curved surfaces, achieving conformal device patterning while maintaining mechanical robustness and stable sensing performance.

Hongjie Hu

Peking University, China

Dr. Hongjie Hu is an Assistant Professor in the School of Integrated Circuits at Peking University. He received his Ph.D. in Materials Science and Engineering and completed postdoctoral training in the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, both at the University of California San Diego. His research is dedicated to the development of wearable ultrasound technologies for continuous imaging of deep tissue and central organs. He has published numerous first-author papers in Nature, Nature Biomedical Engineering, Nature Reviews Materials, Nature Communications, Science Advances among others. His research has been reported by the Wall Street Journal, the U.S. National Institutes of Health, and many well-known academicians and experts. Dr. Hu received the Hisako Terasaki Young Innovator Award in 2023 in recognition of his contribution to the field of biomedical Engineering, and iCANX Young Scientist Award in 2025.

Speech Title: TBA

Abstract: Ultrasound imaging technologies play a pivotal role in clinical diagnostics. However, the bulky design, operator dependence, and intermittent acquisition of conventional probes limit their utility for continuous monitoring in acute, chronic, and high-risk conditions. Recent advances in soft functional materials, micro–nano fabrication, and integrated packaging have spurred the development of wearable ultrasound technologies. By combining high-sensitivity piezoelectric arrays, stretchable conductive networks, and biocompatible multifunctional encapsulation, the wearable ultrasound devices preserve the imaging precision of traditional ultrasound while enhancing skin conformability, sensing continuity, and responsiveness to dynamic physiological changes. In addition, this technology adds a new sensing dimension to the wearable platform that enables continuous imaging of deep tissues and central organs. It supports multimodal functions such as anatomical imaging, cardiac function assessment, hemodynamic analysis, and deep-tissue biomechanics. This paradigm extends wearable health technologies into deep physiological monitoring, with transformative potential for smart healthcare, chronic disease management, and consumer health solutions.

Xinghan Cai

Shanghai Jiao Tong University, China

Xinghan Cai, professor at the School of Integrated Circuits, Shanghai Jiao Tong University. He obtained the PhD degree in the Department of Physics, University of Maryland (College Park) in 2015, and then entered the research group of Professor Xiaodong Xu in the Department of Physics, University of Washington (Seattle) as a postdoctoral researcher. He has long been engaged in the research of physical properties of low dimensional quantum systems and the development of optoelectronic and spintronic devices. His work includes developing sensitive and broadband photodetectors based on novel functional materials (e.g., graphene, violet phosphorus, NbSe2, Nb3I8), elucidating the magnetic structures of various two-dimensional magnetic materials, and fabricating high-magnetoresistance magnetic tunnel junctions via spin-filtering effects. He has published papers in journals such as Science, Nature Nanotechnology, Nature Physics, PNAS and Nano Letters, with a total citation count exceeding 3,000 in the past five years (Google Scholar). Additionally, he serves as a Youth Editorial Board Member for Nano-Micro Letters and a reviewer for top-tier journals including Nature Communications and JACS.

Speech Title: Broadband Photodetection in Graphene-based Two Dimensional Systems

Abstract: This report presents advances in broadband photodetection and optoelectronic applications using graphene-based two-dimensional systems. We first explore a twisted monolayer-bilayer graphene (TMBG) moiré superlattice for ultra-broadband photodetection. By introducing gate-tunable bandgaps, the device achieves exceptional responsivity (16.9 A W−1) and low noise equivalent power (27 fW/Hz1/2) at 0.3 THz, operating from cryogenic to room temperatures. The photoresponse mechanisms are attributed to the photothermoelectric and bolometric effects, demonstrating TMBG as a versatile platform for sensitive sub-terahertz detection. We further demonstrate a reconfigurable TMBG phototransistor for programmable optoelectronic logic. By modulating gate voltages, bias, and magnetic fields, the device dynamically switches among INHIBIT, AND, NOR, and XNOR operations without structural changes. A simulated pixel-wise logic array further validates its applicability to optical computing. In addition, we introduce a wavelength-adaptive synaptic transistor using CrOCl-gated trilayer graphene, enabling spectrally programmable neuromorphic vision. Visible light (532 nm) induces fast potentiation, while near-infrared (912 nm) triggers gradual weight updates, achieving 256 distinct states with long-term retention. A motion extraction algorithm coupled with a convolutional neural network achieves 93% accuracy in speed estimation, highlighting its potential for dynamic visual processing.

Zaiyao Fei

Nanjing University, China

Dr. Zaiyao Fei obtained his Ph.D. in physics from the University of Washington and joined Nanjing University in 2021. His research interests include transport and optoelectronic properties of two-dimensional magnets, ferroelectrics and topological insulators.

Speech Title: Programmable Coercivity and Exchange Bias via Interfacial Spin Reconfiguration in Ferromagnetic Metals

Abstract: Magnetic exchange bias effect in van der Waals heterostructures has attracted growing interest following the discovery of room-temperature van der Waals ferromagnetic metals. However, the evolution of exchange bias with magnetic field in these systems remains poorly understood. Here, we demonstrate a systematic modulation of both the magnetic coercivity and exchange bias in oxidized Fe3GaTe2 thin films, achieved by tuning the magnetic field sweep range under a symmetric sweep protocol. As the sweep range increases, the coercivity undergoes a pronounced enhancement, while the magnetization reversal remains sharp and the saturated magnetization is unchanged. Meanwhile, a non-monotonic, dome-shaped exchange bias is observed as a function of the sweep range, with its polarity set by the preset antiferromagnetic state of the oxidized layer. These observations can be explained by the field-dependent reconfiguration of interfacial spins, which exchange coupled with the ferromagnetic Fe3GaTe2 and antiferromagnetic oxidized-Fe3GaTe2. Similar behavior is observed in oxidized Fe3GeTe2. These results reveal a field tunable pinning process that enables programmable magnetic properties, establishing oxidized van der Waals ferromagnetic metals as a platform for history-controlled spintronic functionalities.

Ding Zhao

Westlake Institute for Optoelectronics, China

Ding Zhao received his Ph.D. degree in Optical Engineering from Zhejiang University, China in 2016. He joined Technical University of Denmark as a H.C. Ørsted Postdoctoral Fellow in 2017. He became a research assistant professor and a research associate professor at Westlake University, China in 2020 and 2022, respectively. Since 2023, he joined Westlake Institute for Optoelectronics as a research professor. His research interests include advanced nanolithography and nanopatterning methods.

Speech Title: Cryogenic electron-beam lithography for optoelectronic devices

Abstract: Nanotechnology and nanoscience are enabled by nanofabrication. Electron-beam lithography (EBL), which makes 2D patterns down to a few nanometers, is one of the fundamental pillars of nanofabrication. Cryogenic EBL, also known as ice lithography, is a versatile technique, which utilizes condensed gases as resists and performs patterning at cryogenic temperatures. Compared with conventional EBL, cryogenic EBL works better at 3D nanofabrication, especially on nonplanar and fragile substrates. In this talk, current status and future perspectives of cryogenic EBL will be presented. Furthermore, it also covers different ice resists and instrument design. Special emphasis is placed on the application of this method for photonics, electronics and 3D micro/nanodevices for biology.

Xiaoxiang Xi

Nanjing University, China

Xiaoxiang Xi received his PhD in 2011 at University of Florida, USA. Prior to joining Nanjing University in 2016, he was a postdoctoral research associate at Brookhaven National Laboratory and Pennsylvania State University. His current research interest is the exploration of emergent phenomena in low-dimensional quantum materials using advanced optical spectroscopy.

Speech Title: Gate tuning of excitonic insulator candidate Ta2NiSe5

Abstract: Realizing an excitonic insulator phase from narrow-gap semiconductors remains challenging, as unambiguous experimental signatures are difficult to establish. Ta2NiSe5 has been widely regarded as a leading candidate, yet the nature of its phase transition and insulating state remains controversial. In this talk, I will discuss a systematic Raman spectroscopy study of Ta2NiSe5 as a function of thickness and field-effect doping, complemented by electrical transport measurements. The phase transition persists down to the monolayer limit, with the critical temperature increasing as thickness decreases. In bilayer samples, both electron and hole doping suppress the insulating state, with electron doping lowering and hole doping raising the transition temperature. Importantly, the quasi-elastic scattering, previously attributed to excitonic fluctuations, evolves monotonically across the entire doping range, inconsistent with the expected suppression of excitonic correlations by Coulomb screening. These findings rule out a dominant excitonic mechanism and instead point to a coupled electronic and structural phase transition, whose stability is tunable by carrier doping. Our doping-based approach offers a general strategy for evaluating the role of excitonic effects in candidate excitonic insulators.

Dan Yang

Beijing University of Chemical Technology, China

Dan Yang received her Ph.D. in Materials Science and Engineering from Beijing University of Chemical Technology in 2014. Now she is a professor in Beijing University of Chemical Technology. Her main research interests have been focused on the design and preparation of functional polymer composites and self-powered nanogenerators.

Speech Title: Self-powered and self-healing dielectric elastomer actuators based artificial muscle with triboelectric nanogenerators

Abstract: Dielectric elastomer actuators (DEAs) have been intensively studied as a promising candidate for artificial muscle. However, their high voltage requirements and vulnerability to external damage limit their widespread application and long-term service life. To extend the service lifetime of DEAs, reversible covalent bonds, such as disulfide bonds and imine bonds have been constructed in polymer chains to design self-healing DEs. Furthermore, a triboelectric nanogenerator (TENG) with characteristics of a high output voltage and a low current was used to drive the self-healing DEA, resulting in a self-powered and self-healing DEA system (TENG-SDEA), which ensures the safe operation of the DEA and avoids electrical breakdown. Finally, an extraocular-muscle-like actuator with oriented motion ability integrated by several TENG-SDEAs was constructed. Additionally, the SDEA was directly used as a flexible capacitive sensor for real-time monitoring of the patient's motion. The presented SDEA provides guidance not only for the artificial muscles that mimic natural muscles but also for future intelligent integrated devices.

Yang Li

Hebei University of Technology, China

Li Yang is currently a Professor at Hebei University of Technology. She received the Ph.D. degree in Mechanical Engineering from Hebei University of Technology in 2015. She was awarded with the Leading Talent of the Yanzhao Golden Stage Talent Gathering Program by the Hebei Provincial Party Committee. She received the Second Class Prize of the Tianjin Natural Science Award (ranking first). Her research field covers laser direct-writing manufacturing technology and flexible wearable electronic devices, and especially their application for biomedical engineering. Prof. Yang has published more than 60 peer-reviewed papers (Nature Communications, Advanced Materials, Nano Letters, etc.), among which 5 are ESI Highly Cited Papers, and authorized 20 invention patents.

Speech Title: Flexible sensing system for decoupled multimodal health monitoring

Abstract: Biomedical and wearable technologies are among the key technologies for the transformation and upgrading of the healthcare and health industry. Flexible wearable sensing systems can achieve conformal attachment and adaptive deformation with the human body and biological tissues, and are crucial for realizing convenient, comfortable, and real-time human health monitoring. They have significant application prospects in life sciences and medicine. This report will focus on the latest research achievements of the research group's flexible sensing technology in the field of wearable bioelectronics and health monitoring. A series of achievements have been published in journals such as Nature Communications, Advanced Materials, Advanced Science, and Nano Letters. It introduces the laser direct writing manufacturing technology of multi-functional flexible sensors, the multi-modal decoupling mechanism, and the constructed flexible sensing systems (gas, pressure, temperature, humidity, electrochemical sensors, etc.) for the application of physiological information health monitoring and disease diagnosis.

Minyi Xu

Dalian Maritime University, China

Minyi Xu holds a Ph.D. in Science from Peking University and is a professor at Dalian Maritime University. His research focuses on underwater operation and maintenance support for marine infrastructure and transport equipment. He has published over 200 academic papers, been granted over 30 invention patents, and received over 10 provincial and ministerial-level honors and awards, including the First Prize of the Invention and Entrepreneurship Award from the China Association of Inventions and the First Prize of the Liaoning Provincial Higher Education Undergraduate Teaching Achievement Award. He serves as a formal delegate to the 10th National Congress of the China Association for Science and Technology, Vice Chairman of the Robotics System Simulation Professional Committee of the Chinese Society for Simulation, a member of the Marine Technology and Equipment Professional Committee of the Chinese Society for Oceanography, and a member of the Youth Editorial Board of the Journal of Underwater Unmanned Systems.

Speech Title: Biomimetic Fish Lateral-Line Sensor Based on Triboelectric Nanogenerator for Underwater Flow Field Information Perception

Abstract: Underwater flow monitoring technology is becoming increasingly important in fields such as marine environmental perception and marine engineering. Traditional underwater sensors often rely on external batteries or cables for power, resulting in complex systems, high maintenance costs, and potentially rapid energy consumption during long-term monitoring. Therefore, there is an urgent need for monitoring technologies that do not require external power, are environmentally friendly, and have strong adaptability. The lateral line system is a crucial sensory organ in fish. It can accurately detect tiny disturbances in water flow, providing insights into the development of underwater sensors. However, existing biomimetic sensors still suffer from limited sensing functions, complex structures, and high maintenance costs. Triboelectric nanogenerator (TENG) technology, based on triboelectric charging and electrostatic induction, can convert tiny mechanical disturbances into electrical signals, offering advantages such as simple structure and low cost. Its application in marine engineering is increasing. This technology offers new approaches for the design of autonomous and multifunctional underwater sensors. To this end, this paper proposes a biomimetic fish lateral-line sensor (BFLS) based on a triboelectric nanogenerator. Experimental results show that BFLS can effectively sense underwater flow field characteristic parameters. The generated electrical signal exhibits a high linear relationship with the underwater flow velocity. This indicates that BFLS has broad application prospects in the field of underwater flow field monitoring.

Ya Huang

Fudan University, China

Ya Huang is currently an Associate Professor at Fudan University. She received her B.S. (2015) and Ph.D. (2020) degrees from the School of Materials Science and Engineering, Tsinghua University, and earned a master degree (2018) in Organic and Polymeric Materials from Tokyo Institute of Technology. From 2020 to 2024, she conducted research at City University of Hong Kong on flexible haptic feedback devices and flexible bioelectronic devices. In 2025, she joined the Institute of Fiber Materials and Devices at Fudan University. Her research interests include flexible material synthesis, micro-/nano-device design, and system integration, focusing on novel wearable electronic devices and exploring their applications in information feedback, intelligent human–machine interaction, and healthcare. Prof. Huang has published more than 50 peer-reviewed papers papers, including Nature, Nature Electronics, Nature Reviews Materials, Science Advances, etc. She was awarded National High-Level Young Talent Program of China and the Shanghai Magnolia Talent award.

Speech Title: Wearable closed-loop multimodal sensory modulation system

Abstract: Wearable devices have substantial potential in smart terminals and healthcare, where closed-loop sensory sensing and feedback are essential for intelligent interaction (e.g., closed-loop haptic sensing and feedback). This report investigates flexible closed-loop sensory modulation devices and integrated systems, spanning flexible material synthesis, tactile actuator design, and closed-loop system integration. We developed tissue-compatible flexible electrode materials that enable activation and modulation of tactile nerves across diverse skin regions and subcutaneous tissues. By leveraging multimodal feedback and integrating electrical stimulation, mechanical force feedback, and thermal regulation, we developed flexible tactile interfaces capable of reproducing realistic, material-specific touch sensations. Furthermore, we developed a wireless control circuit based on an ultrathin, stretchable metal architecture, enabling high-performance closed-loop tactile operation and providing a scalable pathway toward next-generation intelligent wearables.

Tingting Yang

Southwest Jiaotong University, China

Tingting Yang is currently an associate professor at Southwest Jiaotong University (SWJTU). She received her Ph.D. in Materials Science and Engineering from Tsinghua University in 2017. She has been awarded the titles of "Young Eagle Scholar" and "Rising Star of Science and Technology" by SWJTU. Her research areas cover the design and fabrication of interfaces for micro- and nano-functional devices, with a particular focus on moisture-based power generation devices and tactile sensors with confined space ion-electron coupling transport. She has published one academic monograph, over 40 peer-reviewed papers as corresponding/first author (including 4 in Nature Communications, 4 in Advanced Functional Materials, and 2 in Sensors and Actuators B, etc.), and presented at over 10 conferences (including TRANSDUCERS, NEMS, and the Young Tribologists Conference). She holds over 10 invention patents and serves as a reviewer for several well-known journals (such as Nature Sensors, Nature Sustainability, Nature Reviews Clean Technology, Nature Communications, Advanced Materials, Materials Today, etc.)

Speech Title: Nanofluid confined space design for high-performance moisture-based power generation devices

Abstract: To meet the demand for sustainable power in off-grid micro/nano devices, humidity-based energy harvesting has emerged. Although nanochannel structures are promising for moisture-electric conversion, the dynamic behavior of ions and water within the electrical double layer (EDL) during solid-liquid interaction remains difficult to control, resulting in low output power and short operational lifetimes. To address the power bottleneck, several strategies were proposed: constructing PN junction nanochannels to promote asymmetric charge transfer and directional ion transport; designing hierarchical porous structures to precisely regulate charge density in the diffusion layer; achieving adaptive regulation of EDL charge and pore size in response to external humidity; and applying the Hofmeister (salting-out) effect to enhance ionic conductivity, selectivity, and structural stability. To overcome lifespan limitations, this study proposes photocatalytic ion gradient reconstruction for migration recovery, humidity fluctuation-induced alternating adsorption/desorption for continuous output, and a photo-humidity dual-driven generator based on asymmetric redox design in hygroscopic hydrogels. To promote practical applications, a cross-scale, large-area manufacturing technique compatible with printing processes was developed, enabling customizable mW-level power output. The feasibility of powering wireless sensor nodes and constructing self-powered sensors was also demonstrated.

Behraad Bahreyni

Simon Fraser University, Canada

Dr Behraad Bahreyni, SMIEEE, PEng, is a professor and the Director of the Intelligent Sensing Laboratory at Simon Fraser University, BC, Canada. He received his BSc from Sharif University of Technology, Iran, and MSc and PhD degrees in electrical engineering from the University of Manitoba, Canada, in 1999, 2001, and 2006, respectively. He was a post-doctoral researcher with the NanoSicence Centre at Cambridge University, UK, where he researched interface circuit design for microresonators. He joined SFU in 2008 after a one-year tenure in the industry as a senior MEMS design engineer. In 2016, he was with NXP Semiconductors, the Netherlands, developing advanced signal processing methods for sensing. His research activities are focused on the design and fabrication of micro/nano-sensors for applications that include consumer electronics, mining, automotive, and space exploration. Dr Bahreyni has contributed to more than 180 technical publications.

Speech Title: Physical Intelligence and the Evolution of Cognizant Transducers

Abstract: Technological advances have provided abundant computing power, widespread connectivity, and various microsensors to quantify real-world parameters, leading to revolutions such as the Internet of Things (IoT) and wearable technologies. Increasingly, recognizing the context in which data is generated is more relevant than the raw sensor data itself. While sophisticated machine learning algorithms can process raw data to generate context, the ability to generate and record data has surpassed the capacity to make sense of it efficiently. The next paradigm in sensing systems is to integrate sensing and cognition at the sensor level, enabling pattern detection in data as it arrives without requiring extensive data transmission. This talk covers three such physical computers based on physical Reservoir Computing (RC) to detect patterns in data. First, an electrothermal computer is built using off-the-shelf components to tackle sophisticated contextual computations, including standard benchmarks and real-time event detection. We then demonstrate capabilities using 3D-printed computers for near-sensor signal processing. Finally, we will discuss the evolution of the work into building a physical computer with concurrent sensing and computing capabilities as a demonstration of in-sensor computing. We conclude with a roadmap towards implementing such capabilities at micro- and nano-scales.

Cong Wang

Nanjing University, China

Cong Wang is currently an Assistant Professor, Specially Appointed Researcher, and Doctoral Supervisor at the School of Artificial Intelligence. His primary research focuses on novel in-memory computing electronic devices, integrated circuit chips, and energy-efficient intelligent systems and applications. Over the past five years, he has published multiple first-author or corresponding-author papers in top-tier journals and conferences, including Nature Nanotechnology, Nature Electronics, IEDM, and Science Advances. His achievements include 9 authorized Chinese invention patents, 1 U.S. patent, 2 nominations for China's Top 10 Semiconductor Research Advances, 2 Silver Awards at the Geneva International Exhibition of Inventions, and 4 Best Poster Awards at major academic conferences (Nature Conference on Neuromorphic Computing, IEEE IWOFC2019, ICMIC2019, and the 24th National Conference on Semiconductor Physics). He also guided a team to win the National Special Award in the 18th "Challenge Cup" Academic Science and Technology Works Competition. He has been recognized with honors such as the "Postdoctoral Innovative Talents Support Program," "Yuxiu Young Scholar," and "Xiaomi Young Scholar." He has led research projects including the National Natural Science Foundation Youth Program, the China Postdoctoral Science Foundation General Program.

Speech Title: Analog AI Computing Devices, Chips, and Applications

Abstract: From the slide rule invented in the sixteen hundreds to modern CMOS-based computers, each generation of computing tools has pushed the boundaries of what we can do. In the era of artificial intelligence, especially with the rise of deep learning, traditional computing tools are starting to hit fundamental limits. Therefore, we need to explore next-generation tools for future computing. Modern AI needs to perform large-scale real-time data processing, and the demand for computing has been exponentially increasing. However, the actual computing efficiency of traditional hardware, based on von Neumann architecture, is increasing very slowly. This gap has become one of the major challenges we face in the era of AI. A different computing paradigm, so-called analog/physical computing, can directly use physical phenomena for computing. We directly use voltage, current, and light as inputs; the physical system will work as a mathematical function, generating outputs. We only need to read the output, and the computations can be done. This approach can provide much higher energy efficiency than traditional methods. We will introduce some of our analog computing devices, chips and their applications.

Jizhai Cui

Fudan University, China

Jizhai Cui is a tenure-track associate professor at the International Institute for Intelligent Nanorobots and Nanosystems, College of Intelligent Robotics and Advanced Manufacturing, Fudan University. He obtained his Ph.D. in mechanical engineering from the University of California, Los Angeles, in 2016 and subsequently held postdoctoral appointments in the Department of Materials at ETH Zurich and the Paul Scherrer Institute. His research interests include intelligent micro- and nanorobots, origami/kirigami-inspired metamaterials, and nanomagnetic devices.

Speech Title: Field-Programmable Shape Morphing in Microrobots

Abstract: Shape morphing is a defining capability for microrobots, enabling adaptive propulsion, controllable force generation, and reconfigurable functional interfaces in heterogeneous microenvironments. However, in many existing systems, morphing behaviors are largely hard-coded into geometry or material layout during fabrication, which restricts functional diversity and limits the ability to switch roles on demand. This talk integrates our recent studies to show how programmable and reprogrammable shape morphing can be elevated to a controllable control layer for microrobots. I will first describe nanomagnetic encoding of origami-like micromachines, where arrays of single-domain nanomagnets with engineered switching fields are addressed by prescribed field sequences to store multiple morphing instructions on a single device. This approach enables one micromachine to transform into distinct target configurations and supports complex, multi-gait behaviors in modular microrobots. I will then introduce a purely magnetic, in-situ reprogramming strategy using coercivity-gradient nickel nanowire arrays embedded in SU-8 panels and linked by a soft hinge. By combining nanowires with distinct coercivities and tuning the field amplitude and ramp time, a single microrobot can deterministically switch its magnetization states and access multiple deformation/locomotion modes with millisecond-scale mode transitions. Next, I will address terrestrial microrobot locomotion, where fluctuating friction often undermines propulsion asymmetry. Using laser-actuated VO₂ nanomembranes with hysteresis, we realize nonreciprocal shape morphing that alternately modulates contact areas to generate stable friction asymmetry across diverse surfaces, and reinforcement learning further enables autonomous trajectory following. Finally, I will present waveguide microactuators self-rolled around an optical fiber taper, providing fast, laser-addressable bending for rapid capture and release of microorganisms. Together, these advances define transferable actuation primitives for reconfigurable microrobots toward biomedical micromanipulation, microassembly, and microsystem integration.

Li Tao

Southeast University, China

Dr. Li Tao is a full professor in the School of Materials Science and Engineering at Southeast University, Nanjing, China. His research interests focus on 0-2D materials and their flexible/wearable devices and circuits for internet of things, energy, and health care. He is the inventor of 2D PtSe2 enabled self-powered wireless transceiver-sensor circuits for GHz flexible RF communications (IEDM 2024) and the first silicene transistor (Nat. Nanotechnol. 2015, over 1300 citations) featured by TIME blog, Nature News and 100+ media. Dr. Li Tao is an associate editor for npj 2D Materials & Applications, Research and Microelectronics Engineering. He has served as the general chair for NMDC 2020&2022 and a key organizer for 2D materials and nanoelectronics sessions in MRS 2024. His recent honors and awards include IEEE Nanotechnology Council Distinguished Lecturer (2023 &2024), Young Scientist Award by Chinese Renewable Energy Society (2024), Silver award by Geneva Invention Exhibition (2023) and etc.

Speech Title: Switchable Ambipolar MoTe2 Transistors on Flexible Substrates

Abstract: Molybdenum ditelluride (MoTe2), a recently emerging two-dimensional transition metal dichalcogenide (TMDC), has demonstrated excellent electrical properties for next-generation flexible electronics. However, its devices still suffer from limited carrier mobility and ineffective modulation of ambipolar transport behavior. Herein, this work represents a flexible locally buried-gated MoTe2 transistors that feature hole and electron mobilities up to 50 cm²V-1·s-1, respectively. Both hole and electron mobilities exhibit monotonic decline with increasing strain, accelerating dramatically beyond a critical strain threshold (ε = 0.7%). The initial gradual increase in barrier height (28 meV/%) is attributed to lattice distortion in MoTe2, whereas the subsequent abrupt surge (325 meV/%) correlates to the interfacial delamination between Au electrodes and the semiconductor. The strain-dependent band structure and tunnelling efficiency enable the ambipolar-to p-type transport transition. It can achieve effective modulation of flexible transistors in aspects like carrier injection, scattering and transport. Our work provides an alternative strategy to approach wearable CMOS technology.

Xia Liu

Beijing Institute of Technology, China

Dr. Xia Liu received her Ph.D. degree in Institute of Microelectronics at Tsinghua University in 2017. From 2012 to 2013, she was a visiting student in University of California at Berkeley. From 2017 to 2018, Dr. Liu was entitled as a Wen H. Ko Fellow at Case Western Reverse University, USA. From 2018 to 2023, she was a researcher scientist in Microsystems laboratory, EPFL. Currently, she is a professor in Beijing Institute of Technology. Her current research interest is focused on advanced micro/nanofabrication, thermal scanning probe lithography, strain engineering, 2D materials, electronic nanodevices and sensing applications.

Speech Title: High-resolution and grayscale nanopatterning using thermal scanning probe lithography

Abstract: Due to the functional requirements of micro-/nanoscale devices, there is a growing need for structurally complex micro-nano architectures with high spatial resolution and tunable depth profiles. Despite this need, traditional binary lithography can only create structures with uniform depth in photoresist, making it challenging to fabricate more complex three-dimensional (3D) structures. In contrast, grayscale lithography enables regional dose modulation of light, electron, or ion, thereby forming precise 3D grayscale structures with continuous height profiles in photoresist. We developed a new nanoengineering approach to induce deterministic strain in atomically thin MoS2 through topographic grayscale nanopatterning of the gate dielectric. Monolayer MoS2 FET under 1% tensile strain shows an 8-fold increase in on-state current and electron mobility of up to 185 cm²/Vs. We also developed a probe-guided laser direct writing (PG-LDW) approach for grayscale patterning directly on 2D material films with 0.2nm vertical resolution.

Luda Wang

Peking University, China

Prof. Luda Wang is currently working at School of Integrated Circuits and Academy for Advanced Interdisciplinary Studies at Peking University. He received the Ph.D. degree in Mechanical Engineering from University of Colorado, Boulder in 2014. And then he joined Massachusetts Institute of Technology (MIT) as a postdoc researcher. His research field focuses on mass transport in confined space, micro/nano sensors, two-dimensional separation membranes and iontronics. Prof. Wang has published more than 50 peer-reviewed papers (Nature materials, Nature Nanotechnology, Advanced Materials, ACS Nano, etc.), and contributed multiple conference talks (MRS, μFIP, APCOT, ICSICT, etc.). He also served as referee for several highly-reputable journals (Nature Sustainability, Nature Communications, PNAS, Advanced Materials, ACS Nano, Nano letters, etc.).

Speech Title: An ångström-scale Janus aperture as a gas flow rectifier

Abstract: Directional transport of matter, charge, and energy at the nanoscale is of fundamental importance and underpins numerous technologies, exemplified by the electronic diode that forms the backbone of modern integrated circuits. In nature, biological ion channels achieve exquisite rectification of ionic flows through asymmetric structures, inspiring artificial ionic diodes with rectification ratios up to 104 for applications in separation, sensing, and energy conversion. However, rectifying charge-neutral molecular flows−such as gases−remains a formidable challenge because their transport is governed by weak, short-range van der Waals interactions rather than Coulomb forces, offering limited handles for external control. Here we explore gas transport through an ångström-sized Janus aperture in graphene, which is created by feedback-controlled ozone etching and features oxygen-containing functional groups asymmetrically distributed around the edge. Ten representative gases with molecules of varying compositions, shapes and sizes were measured. The permeation coefficients indicate energy barrier-controlled transport. Rectified flow was consistently observed for seven different species including krypton, xenon, hydrogen, oxygen, nitrogen, carbon dioxide and nitrous oxide, with rectification ratios of up to two orders of magnitude for oxygen. Combined high-throughput density functional theory calculations and ab initio molecular dynamics simulations reveal the direction-dependent energy barriers originating from the asymmetric interactions between the gas molecules and the functionalized aperture edge, and the impact of the molecular polarizability on the rectified gas flow. Our work is of fundamental interest to broad communities especially in nanoscale transport, intermolecular interactions, low-dimensional materials.

Huan Hu

Zhejiang University, China

Dr. Huan Hu is a Tenured Associate Professor and Ph.D. supervisor at Zhejiang University. He holds a bachelor's and master's degree from Tsinghua University and a Ph.D. from the University of Illinois at Urbana-Champaign (UIUC). He completed his postdoctoral research at IBM Watson Research Center in the United States. He focuses on advanced nano-manufacturing technology, biomimetic micro-nano sensors, and lab-on-chip technologies integrated with nanotechnology. He has published 86 peer-reviewed papers in prestigious journals such as PNAS, Advanced Materials, and Nature Communications. He has 19 granted U.S. patents and 11 granted Chinese patents, with two of his inventions commercialized into tech startups. In 2023, he was awarded the Bronze Prize in the "Invention and Entrepreneurship Award Project" by the China Association of Inventions. Dr. Hu serves as a council member of the Micro-Nano Devices and Systems Division of the China Instrument and Control Society, the Micro-Nano Measurement and Instrumentation Division of the Chinese Society for Micro-Nano Technology, and the Zhejiang Optical Society.

Speech Title: Scanning Joule Expansion Microscopy For Next-Generation Electronic Device Measurement

Abstract: The continuous scaling of electronic and optoelectronic devices has led to rapidly increasing power densities, making nanoscale thermal management a critical challenge for device performance and reliability. Accurate mapping of localized temperature distributions is therefore essential for understanding heat generation, transport, and failure mechanisms in emerging nanoelectronic systems. Scanning Joule Expansion Microscopy (SJEM), an atomic force microscopy (AFM)–based thermomechanical technique, has emerged as a powerful platform for nanoscale thermal characterization by detecting periodic surface deformation induced by electrically driven Joule heating. This talk will present the history and milestones of SJEM [1,2] as well as our groups’ recent development called lateral SJEM – L-SJEM [3]. L-SJEM achieves sub-picometer resolution (0.37 pm) in displacement measurement and enhances the thermal measurement resolution of SJEM by more than an order of magnitude. L-SJEM utilizes the torsional bending of the micro-cantilever, rather than normal bending, to amplify the movement of the reflected laser spot. This method requires no custom probes or additional equipment and can be seamlessly applied to various AFM-based deformation measurements. This work provides valuable guidance for high-precision characterization and analysis of materials and devices at the nanoscale.

Qun Yuan

Nanjing University of Science and Technology, China

Qun Yuan is currently a Professor and PhD Supervisor at the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, where he also serves as Vice Dean of the School. He has been selected for the National High-Level Young Talents Program in recognition of his academic achievements and research potential. His research mainly focuses on precision optical testing and advanced optical design, with particular interest in developing innovative optical methods and technologies for high-precision applications. Prof. Yuan has undertaken and participated in a number of important scientific research projects, including those supported by the National Natural Science Foundation of China and the National Key Research and Development Program of China. Prof. Yuan has authored more than 30 papers in leading journals such as Light: Science & Applications, ACS Photonics, and Optics Letters. In addition, he serves as an Editorial Board Member of Infrared and Laser Engineering and as a Young Editorial Board Member of Acta Photonica Sinica and Acta Optica Sinica.

Speech Title: Near-Infrared Coherence Scanning Interferometry for 3D Metrology of High-Aspect-Ratio Microstructures

Abstract: Accurate and non-destructive three-dimensional (3D) characterization of high-aspect-ratio (HAR) microstructures is increasingly important for semiconductor manufacturing, micro-electro-mechanical systems (MEMS), and advanced microfabrication. However, optical measurement of HAR and composite microstructures remains challenging because conventional visible-light methods suffer from limited penetration, severe sample-induced aberrations, and low signal-to-noise ratio at the trench bottom. In this presentation, I will introduce our recent progress in near-infrared coherence scanning interferometry for 3D optical detection of HAR microstructures. By exploiting the transmission of near-infrared light through silicon, the proposed approaches enable access to buried and deep structural information that is difficult to obtain using traditional interferometric techniques. Firstly, the physical mechanisms of sample-induced aberrations will be discussed in single trenches and trench arrays, together with modeling methods that combine rigorous electromagnetic analysis and diffraction theory. Then the aberration-compensation strategies will be proposed to improve topography reconstruction accuracy at the trench bottom. Finally, I will introduce our Fourier ptychographic coherence scanning interferometry approach, which further enhances signal-to-noise ratio and lateral resolution for HAR and composite microstructures. Experimental results on silicon trenches and MEMS devices with aspect ratios up to 30:1 demonstrate the potential of these methods as robust metrology tools for next-generation micro- and nanomanufacturing.

Yuan Wang

University of Macau, China

Yuan Wang received his B.Eng. degree in Electronic Engineering from the University of Birmingham, Birmingham, U.K., in 2011; his M.Sc. degree in Bioelectronics from the University of Edinburgh, Edinburgh, U.K., in 2012, and his Ph.D. degree in microelectromechanical systems (MEMS) from the University of Liege in 2019. From 2020 to 2023, he worked as a research associate at Huazhong University of Science and Technology, PGMF and School of Physics, MOE Key Laboratory of Fundamental Physical Quantities Measurement & Hubei Key Laboratory of Gravitation and Quantum Physics, China. He is currently working as an assistant professor at the University of Macau, Institute of Microelectronics. He has published over 90 papers in the MEMS-relevant journals/conferences. His research interests include MEMS sensors, micro-resonators, nonlinearity of MEMS devices, and MEMS interfaces.

Speech Title: Single Micro-Resonator Sensory Fusion for Inertial Sensing Applications

Abstract: Micro Electro Mechanical Systems (MEMS) technology undeniably stands out as a pivotal advancement in the realm of modern electronic science. MEMS products have permeated various aspects of daily life, catering to diverse industries and offering solutions characterized by miniaturization, high performance, and low power consumption. In light of the evolving trend towards intelligent sensor technology, MEMS devices must not only enhance their performance but also incorporate multi-parameter sensing capabilities to align with the requirements of sensor fusion, Internet of Things, and smart city initiatives. This report will commence by exploring the application of MEMS resonant sensors, delving into a detailed analysis of various sensitization schemes based on parameter modulation mechanisms, particularly for inertial sensing applications. Additionally, it will encapsulate the recent research endeavors undertaken by the research group in this domain.

Jiamin Quan

Tongji University

Jiamin Quan is a Professor in the School of Physical Science and Engineering at Tongji University. He received his Ph.D. through a joint training program between Chongqing University and University of Texas at Austin. He subsequently conducted postdoctoral research at the Department of Physics and the Department of Electrical and Computer Engineering at University of Texas at Austin, as well as at the Advanced Science Research Center at the City University of New York. He joined Tongji University in July 2024. His research focuses on two-dimensional materials, nanophotonics, and their hybrid systems. He has published 35 papers in leading journals including Nature, Nature Materials, and Nature Photonics.

Speech Title: Unveiling Dark Excitons in Monolayer Semiconductors with Plasmonic Nanocavities

Abstract: Dark excitons in atomically thin van der Waals materials provide an exciting platform for information transport and nanophotonic applications. While they are difficult to access through free-space radiation, hybrid heterostructures incorporating plasmonic nanocavities provide a powerful platform to tailor interactions between dark excitons and photons. Here, we use a carefully designed heterostructure consisting of optimized plasmonic nanocubes coupled to a WSe2 monolayer encapsulated between thin hBN layers to unveil a new family of dark excitons, never observed to date. The emission from these dark excitons is found to be 2,700 times stronger than bright excitons, yielding a striking enhancement factor of 3 × 10^5. We demonstrate the spin-forbidden nature of these dark states by studying their magneto-optical response. Furthermore, we selectively activate them by controlling the Fermi level via electric doping. Prominent features of this family of dark excitons include narrow linewidths, long lifetime, efficient electrical and magnetic modulation. Our findings unlock the potential for exploring novel exciton physics in 2D materials using photonic heterostructures that preserve the intrinsic optical properties of 2D materials in the coupling process. The demonstrated on-site control and ease of integration with passive photonic components make this platform particularly compelling for nanophotonic and sensing applications.

Zhiqiang Ma

Beihang University

Zhiqiang Ma is currently an Associate Professor at the School of Mechanical Engineering and Automation, Beihang University. He received his Ph.D. degree from Beihang University in 2021, after which he served as a Postdoctoral Fellow at City University of Hong Kong from 2021 to 2025. His current research interests mainly include on biomimetic sensing, soft Micro-electromechanical Systems (MEMS), Micro/Nano fabrication, and flow field detection. He has published over 30 papers in leading international journals such as Advanced Materials, Advanced Functional Materials (4, including 1 cover), Advanced Science (3, including 1 cover), ACS Nano (cover) etc. Dr. Ma is the recipient of several honors, including the Gold Award of the Asian International Innovation and Invention Awards, the Rising Stars of Newton (a sister journal to Cell), the Second Prize of the China Medical Device Innovation and Entrepreneurship Competition, and the Hong Kong Innovation and Technology Commission's Talent Support Program. He also serves as a Young Editorial Board Member for journals such as Research (a science partner journal, Impact Factor: 10.9) and Nano-Micro Letters (Impact Factor: 36.3).

Speech Title: Bio-inspired smart vascular grafts for in situ continuous monitoring of hemodynamics

Abstract: Vascular grafts, widely employed in the management of cardiovascular diseases (CVDs), remain susceptible to postoperative complications. Native blood vessels possess the intrinsic ability to perceive hemodynamics in real time, thereby maintaining physiological homeostasis. Inspired by this biological sensing capability, smart vascular grafts (SVGs) have been developed through the integration of flexible bioelectronics with conventional vascular grafts, aiming to enable real-time monitoring of hemodynamics and vascular health. Nevertheless, the clinical translation of SVGs faces persistent challenges, particularly in achieving biomechanical compatibility, promoting endothelialization, and enabling accurate evaluation of vascular status. To address these limitations, we first present an all-in-one piezoelectric SVG (PE-SVG) device, constructed by encapsulating a polyvinylidene fluoride (PVDF) nanofiber mat patterned with silver nanowire electrodes between two layers of polycaprolactone nanofiber mats. The resulting device exhibits mechanical properties comparable to those of native blood vessels and supports enhanced endothelialization. Furthermore, the integrated piezoelectric PVDF nanofiber endows the PE-SVG with outstanding capability for real-time hemodynamic sensing. In addition, employing a sheet rolling technique, we developed a piezoresistive SVG (PR-SVG) device by encapsulating patterned porous graphene as strain-sensing elements within biocompatible PDMS. The PR-SVG not only retains favorable mechanical performance and endothelialization capacity but also enables accurate detection of hemodynamics. Based on the collected hemodynamic data, the PR-SVG device allows for assessment of blockage morphology and localization within an in vitro simulation platform. Moreover, in vivo animal studies demonstrate that the PR-SVG achieves clinically relevant accuracy in hemodynamic monitoring and reliable diagnostics of vascular health. Collectively, these developed SVG devices represent a significant advancement toward precision hemodynamic monitoring and timely diagnosis of vascular disorders in the context of next-generation vascular healthcare.

Haoyu Li

Harbin Institute of Technology, China

Haoyu Li is a full Professor at Harbin Institute of Technology. He received his BE and ME in Electrical Engineering from Harbin Institute of Technology in 2009 and 2011, respectively. In 2015, he received his PhD in Electrical Engineering from University College Dublin, Ireland. In 2018, He joined Harbin Institute of Technology as a principal investigator in School of Instrumentation Science and Engineering. In 2022, he received the Excellent Young Scholars from National Natural Science Foundation of China, and in 2025, he received the Scientific Research Innovation Capability Support Project for Young Faculty (U40). His mission is building advanced live-specimen super-resolution (SR) imaging techniques, as well as developing smart computational imaging algorithms across modalities including optical microscopy, acoustic or photoacoustic imaging, and even quantitatively mapping tool. In recent years, as the first/corresponding author, he has published more than 50 peer-reviewed journal articles including Nature Biotechnology, Nature Photonics, Nature Methods, Nature Communications, etc. He has applied nearly 50 invention patents, and over 20 patents have been granted. He developed a company that launched a research-grade domestic super-resolution microscope with independent intellectual property rights, with over 65 units delivered globally, including 3 overseas units, totaling more than 200 million RMB. His achievements have been selected as China's Top 10 Optical Breakthroughs (2022, 2024) and the Top 10 Social Influence Events in China's Optical Sector (2021, 2023, 2024).

Speech Title: High-Throughput Super-Resolution Imaging in Live Cells

Abstract: Super-resolution (SR) imaging with high-throughput is invaluable to fast and high-precision profiling in a wide range of biomedical applications. However, prevalent SR methods require sophisticated acquisition devices and specific imaging control, and may cost a fairly long time on a single field-of-view. These essentially increase the construction difficulty, including challenges in imaging throughput, system establishment, and automation. Using the natural photophysics of fluorescence, fluctuation-based microscopy techniques can routinely break the diffraction limit with no need for additional optical components, but its long acquisition time still poses a challenge for high-throughput imaging or visualizing transient organelle dynamics. Here, we propose an SR method based on the Auto-Correlation with two-step Deconvolution (SACD) that reduces the number of frames required by maximizing the detectable fluorescence fluctuation behavior in each measurement. By applying continuity and sparsity joint constraint, the Sparse deconvolution-assisted SACD enables 4D live-cell SR imaging of events such as mitochondrial fission and fusion. As an open-sourced module, we anticipate SACD can offer direct access to SR, which may facilitate the biology studies of cells and organisms with high-throughput and low-cost.

Wuhao Yang

Aerospace Information Research Institute, Chinese Academy of Sciences, China

Wuhao Yang is currently an associate research fellow at Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS). He received the B.Sc. degree in School of Mathematics and Physics from University of Science and Technology Beijing (USTB) in 2013 and the Ph.D. degree in School of Physics from Peking University (PKU) in 2018. And then he joined Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), as an assistant research fellow. In 2024, he received funding from the National Natural Science Foundation of China for Young Scientists. His research field covers the fundamental study of micro/nano resonators, intelligent sensing technology, as well as the fabrication of micro- or nanostructured sensors.

Speech Title: Nonlinear Dynamics in Ferroelectric Hf0.5Zr0.5O2 Thin Films for NEMS-Based Neuromorphic Computing

Abstract: The rapid advancement of emerging technologies such as artificial intelligence (AI) and the Internet of Things (IoT) demands a paradigm shift from traditional von Neumann architectures to energy-efficient, in-sensor data processing. The ferroelectric thin films such as hafnium zirconium oxide (Hf0.5Zr0.5O2, HZO) into nano-electro-mechanical systems (NEMS) offers a new frontier for high-performance neuromorphic computing and intelligent sensing through nonlinear physical dynamics. This work delves into the dual-source nonlinearity of HZO-based nano resonators, specifically focusing on the transition from linear piezoelectricity to high-field electrostrictive regimes and the incorporation of ferroelectric hysteretic memory. We demonstrate that the quadratic nature of electrostriction under high-field excitation serves as a powerful driver for mechanical Duffing nonlinearity and parametric resonance, providing the complex state-space required for Physical Reservoir Computing (PRC). Furthermore, the inherent ferroelectric hysteresis of HZO introduces history-dependent weight modulation, enabling non-volatile "memory-based" nonlinearity that mimics biological synaptic plasticity.

Lifeng Wang

Southeast University, China

Lifeng Wang is currently a Professor at School of Electronic Science & Engineering, Southeast University (SEU). He received his B.S. degree, M.S. degree, and Ph.D degree in electrical engineering from Southeast University, Nanjing, China, in 2003, 2006, and 2013, respectively. From 2006 to 2008, he was with the Nanjing Electronic Device Institute, where he worked on silicon micromechanical devices. From 2013, he joined the faculty of the Department of Electronic Engineering, Southeast University, as an assistant professor, where he became a professor in 2025. From 2019 to 2020, he is a visiting scholar at the University of Cambridge. Prof. Wang has authored over 50 peer-reviewed international journals/ conference papers, holds over 30 Chinese patents, and one international book chapter. In recognition for his research accomplishment, Prof. Wang won over 10 academic awards. He also served as TPC member and session chair for IEEE Sensors and APCOT conference. His current research interests include the design, fabrication and reliability of RF MEMS, micromachined resonators and sensors.

Speech Title: Wafer-level Packaged Highly Reliable RF MEMS Switches

Abstract: International research on RF MEMS (Radio Frequency Micro - Electro - Mechanical Systems) switches began as early as 1995. To date, a variety of RF MEMS switches based on different principles, structures, and fabrication processes have been developed. Compared with traditional solid-state semiconductor RF switches, RF MEMS switches offer distinct advantages in terms of insertion loss, linearity, and power consumption, making them highly suitable for applications such as phased array radars, portable wireless communication systems, and RF/microwave test instruments. This work aims to enhance switch reliability through a three-pronged approach encompassing structural design, key fabrication processes, and wafer-level packaging, thereby realizing a hermetic packaged highly reliable RF MEMS switch.

Xiaoxi Li

Shanxi University

Xiaoxi Li is an associate professor at the Institute of Optoelectronics, Shanxi University. Her research focuses on van derWaals layered functional materials, investigating their stacking and novel architectural designs to develop prototype mesoscopic deviceswith advanced multifunctional regulation capabilities. She also explores the physical mechanisms governing electric-field-controlled mesoscopic systems.

Speech Title: Monolithically Sculpted van der Waals Nano-Opto-Electro-Mechanical Systems: From Deterministic Manufacturing to Multi-physical Coupling

Abstract: Two-dimensional van der Waals (vdW) heterostructures are ideal platforms for nano-opto-electromechanical systems (NOEMS), yet their development is hindered by the fabrication challenges of suspended architectures. Here, we developed a universal "monolithically sculpted" dry-etching method to robustly fabricate suspended vdW heterostructure arrays. Based on this platform, we demonstrate a multifunctional NOEMS that seamlessly integrates a high-Q nanomechanical resonator, a vacuum-channel field-emission diode, and an ultrafast thermal light source. Furthermore, exploiting the extreme sensitivity of NOEMS, we optically detected a giant blueshift in the mechanical resonance induced by the antiferromagnetic phase transition of 2D CrOCl. Crucially, we recently pushed this platform into the topological regime, observing a strong coherent coupling between macroscopic mechanical vibrations and quantum Hall edge states under high magnetic fields. Our work provides a scalable approach for deterministic atomic-scale manufacturing and paves the way for next-generation on-chip quantum simulators with mechanical degrees of freedom.

Kunfeng Wang

Aerospace Information Research Institute, Chinese Academy of Sciences, China

Kunfeng Wang, Assistant Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences. He received his Ph.D. from The State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, under the supervision of Professor Xudong Zou. As a postdoctoral fellow at the University of Southern California funded by the National Institutes of Health (NIH), he worked with Eun Sok Kim Fellow. His primary research focuses on: high-precision resonant accelerometers/tilt sensors, MEMS piezoelectric microphones; Research interests include: Micro/nano-scale sensor development, MEMS fabrication technologies, Piezoelectric resonators/sensors, Low-noise interface circuit design. He has published over 30 research articles in internationally renowned journals such as Nature Microsystems & Nanoengineering, IEEE Sensors Journal, and IEEE Journal of Microelectromechanical Systems.

Speech Title: Performance enhancement of DPLL-based MEMS resonant accelerometers by multi-resonance modes fusion

Abstract: This research presents a novel intra-device fusion strategy for differential MEMS resonant accelerometers (MRAs) that effectively overcomes the fundamental trade-off between measurement bandwidth and noise precision. By leveraging a multi-rate Kalman filter (KF) to asynchronously integrate the outputs of multiple flexural resonance modes within a single device, the proposed method combines a high-bandwidth (200 Hz) configuration for capturing dynamic signals with a low-bandwidth (2 Hz) configuration optimized for noise suppression. Experimental results demonstrate that this approach, further enhanced by high-pass filtering to isolate vibrational acceleration, achieves a significant reduction in noise floor to 85.14 ng/sqrt{Hz} and a bias instability of 20.31 ng while maintaining a full 100 Hz frequency bandwidth. This technique not only improves long-term stability by nearly two orders of magnitude but also enables the high-precision monitoring of ultra-low-frequency environmental vibrations down to 0.01 Hz, providing a resource-efficient solution for broadband inertial sensing applications.

Gang Cheng

Henan University, China

Gang Cheng, male, born in January 1978, is a Professor and Doctoral Supervisor. He is a recipient of the National Excellent Youth Science Fund, recognized as a Science and Technology Innovation Leading Talent under the Central Plains Thousand Talents Program of Henan Province. He also leads a university science and technology innovation team in Henan Province, and has been honored as an Outstanding Youth in Science and Technology Innovation and an Academic and Technical Leader of the province. Additionally, he serves as an Executive Council Member of the Physical Society of Henan Province. He earned his Bachelor's degree in Physics from Henan University in 2000, followed by a Master's degree in Condensed Matter Physics from the same university in 2003. He completed his Ph.D. in Condensed Matter Physics at Jilin University in 2008. He began his research career in 2003 at the Key Laboratory of Special Functional Materials (Ministry of Education) at Henan University and was a Visiting Scholar at the Georgia Institute of Technology, USA, from 2013 to 2016. His research over the years has focused on low-dimensional nanostructured optoelectronic devices, conducting systematic work on nanostructure fabrication, characterization of surface and interface photoelectric properties, and the development of optoelectronic nanodevices. His key research developments include novel devices such as Schottky barrier optoelectronic nanodevices, triboelectric nanogenerators, and self-powered optoelectronic nanodevices. He has published over 40 SCI-indexed papers in prestigious journals including Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, Angewandte Chemie International Edition, Nano Energy, ACS Nano, and Applied Physics Letters. He has served as the Principal Investigator for 4 projects funded by the National Natural Science Foundation of China and 3 provincial/ministerial-level projects. His achievements include receiving the Henan Province Science and Technology Progress Award (Second Class) twice and holding 14 authorized national invention patents

Speech Title: Self-Powered Sensing System and Wearable Health Devices Based on Triboelectric Nanogenerator

Abstract: Wearable smart sensors face limitations due to bulky batteries and limited lifespan. The triboelectric nanogenerator (TENG), which harvests mechanical energy, offers a promising solution for self-powered systems. This work presents three key developments. First, a self-powered wireless sensing system (SP-WSS) is developed, achieving an ultra-low energy consumption of 9 μJ per sensing-communication cycle. It enables real-time pressure sensing with a communication frequency of 72.55 MHz and a 40 m signal transmission distance. Second, a self-powered wireless pressure sensor based on a capacitive triboelectric pressure sensor (CTPS) is fabricated. The CTPS integrates pressure sensing and wireless transmission, exhibiting a high sensitivity of 78.78 V·kPa⁻¹, a fast response time of 20 ms, and a low detection limit of 6.53 Pa. Third, a plantar pressure sensor array and gait analysis system using a flexible triboelectric pressure sensor (FTPS) array is constructed. The integrated insole with 32 FTPSs, paired with a long short-term memory neural network, achieves a gait judgment accuracy of 94.23%. These advances demonstrate the significant potential of TENG-based technology for next-generation wearable electronics.

Shiqiang Liu

Tsinghua University, China

Shiqiang Liu is currently an Assistant Professor at Tsinghua University. He received his Ph.D. degree in Instrumentation Science and Technology from Tsinghua University in 2018. Subsequently, he joined the Department of Precision Instruments at Tsinghua University as an Assistant Research Fellow, and also worked as a Postdoctoral Research Associate at the Department of Clinical Neurosciences, University of Cambridge. His research interests include MEMS and flexible sensors, as well as their applications in wearable health monitoring, human-robot interaction, and intelligent control of wearable robots. Shiqiang Liu has published research papers in highly-reputable journals (Sci. Adv., Nat. Commun., Adv. Sci., Adv. Funct. Mater., Natl. Sci. Rev., InfoMat, etc.). Dr. Liu was awarded the Second Prize of the Ministry of Education Natural Science Award for Outstanding Scientific Research Achievements (2025), the First Prize of the National Invention and Entrepreneurship Award -Project Category (2024), and the Gold Medal at the National Invention Exhibition (2024), among other honors. Dr. Liu currently serves as a Youth Editorial Board Member of the highly-reputable journal Exploration and holds several academic memberships, including Senior Member of the Chinese Instrument and Control Society, Senior Member of the Chinese Society of Micro-Nano Technology, and Member of IEEE.

Speech Title: A Smart Headband for Multimodal Physiological Monitoring in Human Exercises

Abstract: Wearable multimodal physiological monitoring plays a crucial role in sports training and contest, personalized health management, and exercise rehabilitation. However, challenges in continuous and accurate physiological signal acquisition, motion artifact in human exercises, and wearable convenience with multimodal integration, hinder its practical applications. Here, we propose a smart headband using a thermal-sensation-based electronic skin (e-skin) for continuously and accurately monitoring multimodal physiological parameters, including pulse pressure waveform, total metabolic energy cost, heart rate, and forehead temperature. The headband allows accurate and continuous monitoring under both static and dynamic conditions for indoor and outdoor activities in real life. The effectiveness and robustness of multimodal physiological monitoring is validated across various human activities including resting, walking, jogging, bicycling, hill climbing and even long-distance running. Significant physiological variations with fatigue are uncovered, potentially revealing rich information about cardiac load, cardiovascular condition, and potential risk.

Wei Xu

Nanjing University of Posts and Telecommunications, China

Wei Xu earned his bachelor's and doctoral degrees from Beijing Jiaotong University. During his doctoral studies, he conducted visiting research at the Microsystems Laboratory of École Polytechnique Fédérale de Lausanne (EPFL). Since 2023, he has been appointed to the Department of Electronic Science and Technology (a discipline under the national "Double First-Class" initiative) at the College of Electronic and Optical Engineering & College of Flexible Electronics (Future technology), Nanjing University of Posts and Telecommunications. His research focuses on the charge release dynamics of triboelectric nanogenerators and their coupling mechanisms with biological interfaces, with the long-term goal of leveraging triboelectric effects to empower bio-interfaces and establishing a new paradigm for the precise delivery of bioactive substances across interfaces. In this field, he has published over 10 SCI papers in journals such as ACS Sensors and Nano Energy, with an h-index of 11 (Google Scholar).

Speech Title: Triboelectric Interfaces: Bridging Human-Machine Interaction

Abstract: Triboelectric nanogenerators (TENGs) have emerged as a compelling platform for actively modulating bio-interfaces and enabling next‑generation human‑machine interaction. This talk will present our recent work on leveraging TENG‑driven charge dynamics to establish two innovative interfacial systems. In the context of human‑machine interaction, we introduce a channel‑simplified touch panel that utilizes TENG principles to achieve tactile input. By redesigning the sensing architecture, this system significantly reduces wiring complexity and signal crosstalk while maintaining robust multi‑touch detection, offering a scalable and cost‑effective solution for wearable and flexible interactive devices. For bio‑interfaces, we demonstrate a TENG‑based wireless transcutaneous transmission coil designed to precisely drive the delivery of triboelectric signal across skin barriers. This approach harnesses controlled triboelectric potentials to generate localized electric fields, enabling on‑demand, spatiotemporally accurate transport of energy without invasive procedures. By merging fundamental charge‑release dynamics with applied device design, we aim to advance toward a new paradigm where TENGs serve as intelligent mediators for enhanced biosensing, therapeutic delivery, and seamless human‑device integration.

Xingxu Zhang

Northwestern Polytechnical University, China

Xingxu Zhang was born in Liaoning Province, China, in 1994. He received the B.E., M.E. and Ph.D. degrees from the School of Mechatronics Engineering at Harbin Institute of Technology, Harbin, China, in 2014, 2016, and 2021, respectively. Besides, he was a joint PhD candidate in the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, from 2017 to 2019. He is currently an Associate Professor with the School of Mechanical Engineering, Northwestern Polytechnical University. And he is also a member of the Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace. He has led over ten research projects including the General Project of National Natural Science Foundation of China, the Youth Science Fund Project (Class C) of National Natural Science Foundation of China, the Sub project of National Key Research and Development Program, and so on. Besides, he has published over 30 high-level academic papers. His research interests include Flow Measurement Microsystems, Piezoelectric Devices, and Bionic Sensing Technology.

Speech Title: Biomimetic harbor seal whisker MEMS sensor for underwater wake vortex detection

Abstract: Accurate perception of underwater targets is essential for ensuring the efficient operation of UUVs. Microsensors based on MEMS technology, characterized by small size, light weight, and ease of integration, offer new technological solutions for underwater flow-field sensing. Harbor seals are capable of detecting subtle hydrodynamic trails left by prey using their highly sensitive whiskers, and this unique biological sensing mechanism provides important inspiration for the development of biomimetic flow sensors. Current research on bionic seal whisker sensors has primarily focused on analyzing the hydrodynamic characteristics of isolated whisker models, with limited investigation into the overall fluid-structure interaction (FSI) mechanism of devices integrating whiskers with sensitive structures. Additionally, existing bionic whisker models are generally large in scale, exhibiting significant differences from real seal whiskers in both dimensions and dynamic properties, which compromises the device's ability to perform precise detection of flow fields. To address these issues, this study conducts systematic research on the structural design, FSI mechanisms, microfabrication, and underwater performance testing of bionic seal whisker microsensors. Focusing on the operational principle of the microsensor, this study analyzes the influence of key structural parameters on stress distribution and natural frequencies. An FSI model of the sensor was established to analyze velocity and pressure field distribution characteristics and structural response properties under various operating conditions. Fabrication and packaging integration of the bionic seal whisker microsensor are investigated. Experimental testing was conducted to validate the sensor's vortex-induced vibration suppression and wake vortex detection capabilities. The transverse vibration amplitude of the bionic seal whisker microsensor was much smaller than that of cylindrical and elliptical columns. Under wake flow conditions, the microsensor successfully identified the dominant frequency of wake vortices generated by upstream obstacles with an average detection error below 6%. The microsensor can distinguish between different obstacle shapes, characteristic dimensions, and flow velocities, and can detect upstream obstacles at varying distances. This work provides novel theoretical foundations and technical solutions for underwater flow field sensing and target detection.

Shuyan Zhu

Sun Yat-sen University, China

Dr. Shu-Yan Zhu received the Ph. D. degree in Electronic Engineering from City University of Hong Kong in 2019. From 2019 to 2021, he was a Postdoctoral Fellow and Research Fellow with the City University of Hong Kong. Dr. Zhu is the recipient of Gold Model in the 48th and 49th International Exhibition of Inventions Geneva in 2023 and 2024, the Best Student Paper Award (Second Prize) at the International Conference on Microwave and Millimeter Wave Technology 2025 (IEEE ICMMT2025). He holds 4 US granted patents and has authored or coauthored over 30 referred journal and conference papers. He has served as the TPC Chair or session Chair for many international conferences, such as the Global Symposium on Millimeter-Waves & Terahertz (GSMM) 2024, the IEEE 12th Asia-Pacific Conference on Antennas and Propagation (APCAP) 2023, Asia-Pacific Microwave Conference (APMC) 2022, IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP) 2022, etc. He is currently an Associate Professor with the School of Microelectronics Science and Technology, Sun Yat-sen University (SYSU), China. His current research interests include terahertz (THz) antennas and nanoplasmonics devices, microwave/RF circuits, nanofabrication technology, and optofluidic laboratory-on-chip devices.

Speech Title: Silicon-based Terahertz High Frequency Metasurface Antennas

Abstract: With the continuous development of mobile communication from 3G, 4G to 5G, the working frequency band of antennas has gradually risen from microwave to millimeter wave, and the research work and industrial manufacturing technology related to millimeter wave antennas serving 5G communication are becoming more and more mature, but the research on terahertz antennas applied to the next generation of 6G wireless communication has progressed slowly. This talk will reports our latest work of silicon-based terahertz (THz) high frequency metasurface antennas. To the best of our knowledge, our proposed Si-based THz metasurface antennas including Fabry-perot cavity antennas, reflectarray antennas, orbit angular momentum antennas and leaky-wave antennas demonstrate high performance and increased the operation frequency over 300 GHz, which pay the way to address the demands for enhanced channel capacity and system integration in future 6G communication systems.

Kai Tao

Northwestern Polytechnical University, China

Professor Kai Tao is a faculty member in the School of Mechanical Engineering at Northwestern Polytechnical University. Since February 2017, he has been leading a research team in the Department of Microsystem Engineering at Northwestern Polytechnical University. His research interests focus on the smart flexible sensing systems, especially hydrogel sensing systems, and their applications in human-machine intefaces (HMIs). He has published over 100 papers and has been cited over 10000 times with an H-index of 55, according to Google Scholar. 23 of his papers have been recognized as highly cited papers or hot papers (Web of Science ESI). He was selected for the National Youth Talent Program and listed in the World's Top 2% Scientists by Stanford (2022-2025, top 0.5% in 2025). He also serves as an editor for several international journals and a general/session chair for IEEE INEC, IEEE/ASME AIM, and VEH (2021-2023) international conferences.

Speech Title: Hydrogel Electronic Skin for Human-Machine Interaction System

Abstract: Hydrogels have become promising flexible sensing materials for electronic skins (E-skins) due to their outstanding mechanical properties, conductivity, biocompatibility, and multi-stimulus responsiveness. The report describes the recent research progress of our group on organic ionic hydrogel sensors based on MEMS fabrication processes and lithium bromide regulation techniques. These hydrogel sensors possess multiple functions, including high-sensitivity pressure sensing and high-precision recognition of material types and surface roughness. Combined with multimodal sensing modules and artificial intelligence (AI) algorithms, the sensing system can perform high-precision motion intention decoding of electromyographic (EMG) signals and forcemyography (FMG) signals, enabling three-degree-of-freedom motion control of drones through gestures as well as motion control of drone swarms. It can be used for active rehabilitation training involving voluntary motion intentions, proposing a novel and simple control strategy for the design of next-generation multimodal interaction systems.

Jun Dong

Ludong University, China

Prof. Dong Jun, a Taishan Scholar of Shandong Province, is the Principal Investigator of the Micro-Nano Electromechanical Chips and Intelligent Systems Group at the College of Integrated Circuits, Ludong University, leading a provincial high-level talent team. His research focuses on the pioneering development of liquid-solid interfacial total-current nanogenerators, covering a complete chain from physical theory, device architecture, material processing, power management circuits, to self-powered integrated systems. Over the past five years, he has led the National Natural Science Foundation for Young Scholars and a provincial high-level talent engineering project. With 37 publications and 627 citations, his work has appeared in top-tier journals including Device (a sister journal of Cell), Energy & Environmental Science, and Nano Energy. He has contributed 2 book chapters to monographs published by CRC Press and Chongqing University Press, holds 3 authorized invention patents, and serves as a reviewer for Nano Energy, Energy, and other prestigious journals. His work on high-voltage DC droplet-based nanogenerators has been widely highlighted by renowned top-tier review journals and academic platforms with detailed graphic reports, attracted extensive international attention and collaborative invitations, and received positive coverage from science and technology news media.

Speech Title: Total-Current Nanogenerators: Bridging Liquid-Solid Interface Physics and Self-Powered On-Chip Sensing

Abstract: The miniaturization of intelligent sensing systems demands sustainable on-chip power sources. Traditional nanogenerators often suffer from alternating current output and low energy conversion efficiency, limiting their practical integration with MEMS devices. This presentation reports our studies on the total-current generation theory for liquid-solid interface energy conversion, focusing on the fundamental mechanisms of charge separation, transport, and collection in micro-nano systems. Based on these studies, we have developed a high-performance DC droplet-based nanogenerator with optimized device architecture and interface materials, and achieved multi-scenario energy harvesting and self-powered sensing applications. Related results have been published in high-quality journals. We will showcase the systematic research spanning from the theoretical framework of Total-Current Nanogenerators (TCNG) to the design of charge shuttle architectures and power management circuits. Furthermore, we will demonstrate the practical applications of this technology in a bionic triboelectric tongue, a self-powered real-time acid rain monitoring platform, and intelligent liquid sensing and identification systems. This work not only advances the fundamental understanding of energy conversion at solid-liquid interfaces, but also breaks through the AC-DC conversion bottleneck of conventional nanogenerators via an integrated high-voltage DC scheme for generation, conversion, and storage. It lays a solid technical foundation for the next generation of self-powered intelligent MEMS systems without complex power management modules and with efficient compatibility for microelectronic devices.

Yujia Zhang

École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Prof. Yujia Zhang is a Tenure Track Assistant Professor of Electrical and Micro Engineering at the School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL). He has led the Laboratory for Bio-Iontronics (BION) since 2025. A major interest of his laboratory is the development of iontronic biointerfaces for medicine and hybrid intelligent systems. Recently, he has pioneered dropletronics, in which networks of microscale soft droplets function as versatile bioiontronic/bioelectronic devices. Prior to his appointment, he obtained his B.Sc. in Electronics Engineering from the University of Science and Technology of China (USTC) in 2016. Later, he completed his PhD in biomedical engineering and MEMS/NEMS technology at the Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), followed by one year as a visiting PhD student at Stony Brook University in the US. In 2021, Yujia joined the Bayley group at the University of Oxford, UK, and in 2023, he became an independent early-career research fellow hosted in the Department of Chemistry at the University of Oxford. Yujia has published over 40 peer-reviewed journal articles and conference proceedings, including Nature (2023), Science (2024), etc. Yujia also serves as a reviewer and guest editor for several scientific journals, including Nature Materials, Nature Electronics, Science Advances, and Iontronics. Meanwhile, he is an active member of the Royal Society of Chemistry and the International Society of Bionic Engineering. Yujia is the recipient of many prestigious national and international awards, including the Special Prize of President Scholarship for Postgraduate Students, CAS (2020), the Early-career Scientist Representative by the UK Parliamentary and Scientific Committee (2023), and the Young Scientist Award by the iCANX Global Summit (2025).

Speech Title: Dropletronics for Microscale Modular Multifunctional (M3) Biointerfaces

Abstract: Hydrogel iontronic devices can emulate biological functions and communicate with living matter. However, the fabrication of miniature, soft iontronic devices according to modular designs has not been achieved. In the talk, I will discuss the use of surfactant-supported assembly of freestanding microscale hydrogel droplets, termed dropletronics, to construct various ionic power sources, iontronic modules, circuits, and biointerfaces. The tiny, versatile dropletronic devices enable a variety of biomedical applications, including modulation of human brain organoids, defibrillation and pacing of mouse hearts, and recording electrophysiological signals from sheets of human cardiomyocytes. I will also introduce some ongoing projects in my group, Laboratory for Bio-Iontronics (BION) at EPFL, and conclude by summarising the major challenges in the field and future directions.

Mengying Xie

Tianjin university, China

Dr. Mengying Xie is an associate professor at the State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, China. Before joining the Tianjin university, she worked in University of Bath as a postdoc (2016–2018) and as a senior researcher in Ritsumeikan University (2018–2019). She received the B.Sc. degree in applied physics from Tianjin University, China in 2010 and a Ph.D. in Mechatronics Engineering from the University of Auckland, New Zealand in 2015. Dr Mengying Xie' main research interests lie in the design, fabrication and application of novel flexible sensors and energy harvesters with advanced smart materials and structures, and then apply for practical applications, including high-performance wearable electronics and intelligent robotic applications. Dr. Mengying Xie serves as Vice Chair of IEEE IES Technical Committee on MEMS and Nanotechnology. She also serves as a reviewer for a number of highly respected prestigious journals in the fields of electronics, sensors and robotics.

Speech Title: Tactile Sensing and Robotic Applications

Abstract: With the growing deployment of robots in fields demanding exceptionally high operational precision and environmental adaptability, such as medical care, educational services, intelligent manufacturing and domestic services, there is an urgent need for safer, more sensitive and human-like environmental interaction capabilities that go beyond traditional vision. Traditional methods face significant bottlenecks in dynamic interaction environments, especially in force, texture and shape recognition during grasping. Thus, embedded intelligent sensing technology is the key to achieving safe and intelligent control of robots. High-performance tactile sensors, optimized via innovative material selection, structural design and signal processing, enable robots to accurately perceive key physical characteristics during grasping. Combined with artificial intelligence, tactile perception enhances grasping control and human-robot collaboration safety, promising to advance robot technology to a higher level.

Bin Yang

Shanghai Jiao Tong University, China

Bin Yang is a Professor and Ph.D. Supervisor at the School of Integrated Circuits, Shanghai Jiao Tong University, and was selected for the Shanghai Pujiang Talent Program. He received his Ph.D. from Shanghai Jiao Tong University in 2006. Subsequently, he conducted postdoctoral and research work at the Department of Mechanical Engineering at the National University of Singapore and at the Institute of Microelectronics (IME) Singapore, focusing on MEMS sensors and energy harvesters. He joined Shanghai Jiao Tong University in 2011. Prof. Yang's research interests are primarily in micro/nano self-powered devices and systems, high-temperature sensors, and the synthesis and application of piezoelectric micro/nano materials (e.g., nanowires). As Principal Investigator, he has led numerous national key research projects, including grants from the National Natural Science Foundation of China, the National Science and Technology Major Project, the National Key R&D Program, and the Equipment Pre-research Joint Fund of the Ministry of Education. He has published over 100 SCI-indexed papers in prestigious journals such as Advanced Materials, Advanced Functional Materials, ACS Nano, IEEE Transactions on Industrial Electronics, and IEEE Journal of Microelectromechanical Systems. His publications include 7 ESI Highly Cited Papers and 1 ESI Hot Paper, with an H-index of 56. He has also co-authored two English monographs and serves as an Associate Editor for the SCI journal International Journal of Optomechatronics. He was a recipient of the First Prize of the Natural Science Award from the Ministry of Education in 2015.

Speech Title: Heterogeneously Integrated Flexible Piezoelectric MEMS sensors and microrobotics

Abstract: As sensing units continue to be miniaturized, flexible piezoelectric sensor arrays face critical challenges, including reduced sensitivity and aggravated crosstalk effects, despite the pursuit of high spatial and temporal resolution. Therefore, this work focuses on mechanical thinning and heterogeneous integration strategies, and systematically explores key approaches for performance optimization and application expansion of flexible piezoelectric sensors through device structural design and mechanistic investigation. Meanwhile, the ultrathin structural design of the robot is achieved through a high-performance piezoelectric composite film microstructure based on MEMS technology. The robot exhibits various vibration modes when driven by ultrasonic frequency signals, its motion speed reaches 81 cm/s at 54.8 kHz, exceeding that of the fastest piezoelectric microrobots.

Zhiwen Shi

Shanghai Jiao Tong University, China

Zhiwen Shi is currently a Professor at the School of Physics and Astronomy, Shanghai Jiao Tong University (SJTU). He received his Bachelor of Science degree from the University of Science and Technology of China (USTC) in 2007. He went on to obtain his Ph.D. from the Institute of Physics, Chinese Academy of Sciences in 2012. He worked as a postdoctoral researcher in the Department of Physics at the University of California, Berkeley, from 2012 to 2016. In 2016, Dr. Shi joined the faculty at Shanghai Jiao Tong University. His research group focuses on experimental condensed matter physics, with a particular emphasis on the optical and electrical properties of low-dimensional quantum materials. Prof. Shi has published over 90 papers in top-tier academic journals such as Nature and Science, with 13 of his publications recognized as ESI Highly Cited Papers, and a total citation of more than 12,000. He was selected for the National Recruitment Program of Global Experts (Youth Program) and has received the National Natural Science Foundation of China (NSFC) Young Scientists Fund (Class A).

Speech Title: Low-dimensional Carbon Materials for High-performance Nanoelectronics

Abstract: Graphene has excellent electrical transport properties, yet it cannot be used to construct transistor devices due to the lack of an energy gap. Theoretically, quasi-one-dimensional graphene nanoribbons and carbon nanotubes can open an energy gap by quantum confinement effects, and the size of the energy gap can be controlled by structure, making them ideal candidates for constructing high-performance electronic devices. In this talk, I will introduce a new method for directly growing high-quality low-dimensional carbon materials on insulating substrates. Based on this method, we have achieved: (1) embedded growth of graphene nanoribbons between boron nitride atomic layers to form an "in-situ encapsulated" graphene nanoribbon structure; (2) direct growth of homochiral and close-packed carbon nanotube arrays to form carbon nanotube van der Waals crystals. In addition, I will also introduce our exploration of the material growth mechanism, as well as the excellent performance of field-effect transistor devices constructed based on these low-dimensional carbon materials. References: (1) Science, 387, 1310 (2025); (2) Nature, 628, 758 (2024)

Weili Den

Southwest Jiaotong University, China

Dr. Weili Deng is currently an Associate Professor at Southwest Jiaotong University in China. has been a visiting scholar at both the University of California, Los Angeles (UCLA) and the University of California, Riverside (UCR). He has also been recognized among the world's top 2% most-cited scientists. His research centers on functional devices that operate through electrical signal transduction, with a focus on uncovering the structure–property relationships that link the hierarchical architecture of nanomaterials to the macroscopic performance of devices. He is particularly dedicated to advancing the application of flexible sensors in areas such as wearable technology and human–machine interaction. In recent years, as first or corresponding author, he has published more than 50 papers in leading international journals, including Chemical Society Reviews, Advanced Materials, Matter, Advanced Functional Materials, ACS Nano, Nano-Micro Letters, and InfoMat. Among these publications, 1 has been recognized as an ESI Hot Paper, 8 as ESI Highly Cited Papers, and 9 have been featured as cover articles. His work has received over 10,000 citations (Google Scholar). He also serves on the editorial boards of several academic journals, including as a Youth Editorial Board Member for Nano-Micro Letters and Materials Futures, and as an Editorial Board Member for Soft Science, the Journal of Functional Biomaterials, and the Journal of Sichuan University (Natural Science Edition).

Speech Title: 压电纤维器件的可控构筑及可穿戴传感

Abstract: With the rapid advancement of flexible electronics and smart sensing technologies, the design and fabrication of high-performance piezoelectric fiber devices have emerged as a frontier research focus. Conventional piezoelectric materials are often limited by insufficient flexibility and low mechano-electrical conversion efficiency, which restricts their applicability in wearable systems for human-machine interaction and real-time health monitoring. To address these challenges, this report focuses on the controllable construction and mechano-electrical coupling mechanisms of piezoelectric fiber devices, aiming to develop novel smart sensing materials and devices with high sensitivity and high stability. By integrating electrospinning technology with in-situ polarization processes, we have achieved the controllable fabrication of polyvinylidene fluoride (PVDF)-based piezoelectric fibers with diverse architectures, including aligned, core-shell, and gradient structures. In parallel, the crystallization behavior and piezoelectric phase content of the fibers have been optimized, significantly enhancing their mechano-electrical response performance. Through systematic characterization and theoretical simulations, the mechanisms of dipole deflection and charge transport in fiber devices under external mechanical stimuli have been elucidated, clarifying the structure-property relationship between the microstructural features and macroscopic piezoelectric properties. Finally, the optimized piezoelectric fiber devices were integrated into a smart sensing system, enabling real-time monitoring of physiological signals such as pulse, respiration, blood pressure, and joint movements. These results demonstrate the considerable potential of this class of materials in the fields of health monitoring and human-machine interaction.

Jianwei Zhong

South China University of Technology, China

Dr. Jianwei Zhong is an Associate Professor at the School of Microelectronics, South China University of Technology. His research focuses on intelligent lab-on-chip systems, micro/nano sensors, and MEMS technologies for single-cell analysis, biointegration, and precision diagnostics. He has established a distinctive research program in sensing-and-control integrated chips for high-throughput biological analysis, with contributions in megahertz electric-field sensing, electro-acoustic microfluidic systems, and label-free single-cell analysis. His work bridges fundamental sensing mechanisms and translational biomedical applications. In the past five years, Dr. Zhong has published 22 papers, including 15 as first or corresponding author, in high-impact journals including Nano Letters, Biosensors and Bioelectronics, Small Methods, Small, Lab on a Chip, and Sensors and Actuators B: Chemical. He has also filed multiple patents in PCT, the United States, China, and Hong Kong. He received the 2024 National Outstanding Self-Financed Chinese Students Abroad Scholarship. His current work expands toward terahertz metasurface biosensing and high-sensitivity biomolecular detection.

Speech Title: BioMEMS for Single-cell Sensing and Sorting Integration

Abstract: This talk presents an integrated microfluidic platform for label-free single-cell sorting based on the synergy of megahertz electrical sensing and surface acoustic wave actuation. Unlike passive encapsulation approaches, the proposed system enables active, real-time discrimination and sorting of empty droplets, single-cell droplets, and multicell droplets. By combining quantitative electrical characterization with closed-loop electro-acoustic control, the platform achieves high-throughput and high-purity cell sorting, exceeding 200 droplets per second with approximately 90% purity. The work highlights a scalable route toward intelligent cell sorting systems for single-cell sequencing and translational biomedical applications.

Hao Zhang

Ocean University of China, China

Hao Zhang is currently associate professor with the Faculty of Information Science and Engineering, Ocean University of China, and the Deputy Director, Shandong Key Laboratory of Intelligent Sensing Chips and System, Qingdao, China. He received the PhD degree in electrical and computing engineering from the University of Saskatchewan, Canada, in 2019. He worked as a postdoctoral fellow in the Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada from 2019 to 2020. His research interests include digital VLSI design, AI processor design, and marine AI applications. He has published more than 40 research papers in the relevant fields. He is the principal investigator of key research projects in the field of efficient AI computation and intelligent sensor systems.

Speech Title: The Convergence of AI and Sensors: Pushing the Limits of Intelligent Sensing Systems for Marine Applications

Abstract: With the rapid development of AI technologies, there is an increasing demand to apply AI in sensors for improved ability. For marine scenarios, this integration is not merely beneficial but essential for overcoming the severe limitations of conventional methods in ocean monitoring, exploration, and navigation, where data is often vast, noisy, and multimodal. In this talk, we will explore the current technologies of integrating AI and sensors. First, we will explore the technologies of using AI in sensor design and optimization for specific tasks. Second, we will see how AI can help with complex sensor data processing. Third, we will investigate the paradigm of in-sensor computing for extremely low-power end devices. Finally, we will discuss potential future trends of AI-sensor integration to motivate more research works in this emerging field.

Liujing Zhuang

Zhejiang University, China

Dr. Liujing Zhuang is a New Hundred Talents Program Assistant Professor, a faculty member, in Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, China. She received the B.S., Ph.D. degrees from Zhejiang University in Biomedical Engineering in 2011, 2017, respectively. She has been awarded a scholarship from the China Scholarship Council to pursue her study as a joint PhD student at Perelman School of Medicine, Department of Neuroscience, University of Pennsylvania from 2015 to 2016. Her current research focuses on: 1) olfactory brain-machine interface; 2) biomimic olfactory biosensors, 3) neural mechanisms underlying olfactory perception.

Speech Title: Reading Spatiotemporal Responses of Mammalian Olfactory System via Microelectrode arrays

Abstract: Humans perceive the world through five senses, of which olfaction is the oldest evolutionary sense that enables the detection of chemicals in the external environment. Recent progress in bioinspired electronics have boosted the development of artificial sensory systems. Here, we propose a biohybrid olfactory system by integrating living mammals with implantable flexible neural electrodes, to employ the outstanding properties of mammalian olfactory system. The initial event of olfactory perception occurs in the olfactory epithelium (OE) inside the nasal cavity, which is the peripheral organ for the sense of smell. The olfactory bulb (OB) is the first relay station of the central olfactory system. It receives input from OE and sends output to the olfactory cortex. The olfactory information encoded in the neural activity was recorded from both OE and OB simultaneously using flexible neural electrodes. By extracting the characteristics of odor-evoked oscillatory signals, responses of different odors are identified and classified with 90% accuracy.

Xin Lan

Harbin Institute of Technology, China

Prof. Xin LAN received his B.S. degree (2005) and Ph.D. degree (2010) from the School of Astronautics at Harbin Institute of Technology (HIT) China, and researched as visiting scholar in Nanyang Technological University (2007) and Harvard University (2010). He is currently a full professor in HIT, and works in the Center of Smart Materials and Structures directed by Prof. Jinsong Leng. His research focuses on the mechanics of smart material structures, vibration dynamics, and active vibration control based on smart materials, including active vibration reduction and noise control with piezoelectric materials, mechanical metamaterials for noise control. He has published over 60 papers, which were cited more than 2,000 times.

Speech Title: Active Vibration Control Technology for High-Stiffness Structures Using High-Voltage Piezoelectric Drive

Abstract: Aiming at the vibration problem of high-stiffness structures, a self-developed 1000V high-voltage stacked piezoelectric actuator was employed for active vibration control. The actuator exhibits characteristics such as high static load capacity (ton-grade), high static stiffness (on the order of 10^8 N/m), large driving force (measured output driving force of 6000–10000N), and high input/output linearity (nonlinearity <1%). Centered on the force-electric coupling characteristics of piezoelectric ceramic actuators, research was conducted on the active control mechanism for vibrations in high-degree-of-freedom elastic structures. An adaptive active control algorithm achieved efficient suppression of multiple line spectra and narrowband spectra. Furthermore, an ultra-low-latency hardware and software system for piezoelectric-driven active vibration control was independently developed, and key functional verifications were completed on multiple high-stiffness structural test specimens.

Guofeng Zhang

Xi'an Jiaotong University, China

Guofeng Zhang is currently an associate professor at Xi’an Jiaotong University(XJTU). He received his MEng degree in Mechanical Engineering and PhD degree in Instrumentation Science and Technology from XJTU in 2015 and 2020, respectively. His research focuses on micro/nano optical measurement technologies for integrated circuit manufacturing and ultra-precision machining. Dr. Zhang has published more than 40 peer-reviewed papers and contributed over 20 conference talks, and has been granted 23 invention patents. He has received the First Prize of the Science and Technology Progress Award from the Chinese Society for Measurement, the First Prize of the Shaanxi University Science and Technology Award.

Speech Title: Novel Methods for 3D Characterization of Nanostructures

Abstract: As IC manufacturing nodes advance to the 2nm technology node and beyond, the transition to complex three-dimensional architectures such as gate-all-around nanosheets and forksheet devices introduces unprecedented challenges for nanoscale metrology. The shrinking critical dimensions, combined with new materials and intricate stacked geometries, demand characterization techniques with higher sensitivity, resolution, and throughput than ever before. This report presents recent progress by our team in the field of patterned wafer metrology and inspection. We introduce novel optical methods for detecting nanoscale defects, alongside advanced composite nanoprobe techniques for true 3D structural characterization. These approaches are designed to address the limitations of current measurement paradigms, providing new solutions for advanced node nanometrology.

Faheng Zang

Shanghai Jiao Tong University

Faheng Zang is an Associate Professor at the School of Integrated Circuits, Shanghai Jiao Tong University. He earned his B.S. and M.S. degrees from Shanghai Jiao Tong University in 2008 and 2011, respectively, and obtained his Ph.D. in Electrical and Computer Engineering from the University of Maryland, USA, in 2016. Prior to joining Shanghai Jiao Tong University in September 2021, Dr. Zang served as a Postdoctoral Research Associate at Princeton University and as a Principal Engineer at Goertek Electronics in the United States. He was recognized as an outstanding overseas talent under the Shanghai Municipal Government’s High-Level Talent Program. His research focuses on nanophotonic devices, micro/nano biochemical sensors, and microsystem integration, with an emphasis on developing high-performance, label-free sensing platforms and integrated optofluidic systems. He has published extensively in top-tier journals such as Advanced Materials, Nature Communications, Advanced Functional Materials, Biosensors and Bioelectronics, and Chemical Communications, with multiple papers as first or corresponding author. His work advances miniaturized, real-time detection systems for biosensing and many physical sensing applications.

Speech Title: Multiscale integration of photonic micro-/nano-structures toward in-situ sensing applications

Abstract: In an increasing number of sensor application scenarios, it is required that sensors can be integrated seamlessly into targeted objects of interest without altering their intrinsic properties. These application-specific requirements can be quite important, such as identifying the strain distribution within a working flexible film, the temperature during chip bonding, the torque of a working rotary machine, to name just a few. Sometimes it is necessary not only to build sensors that are small and thin enough to fit into the system, but also to develop special integration methods to enable micro-/nano-fabrication directly on soft or curved object surfaces. This talk will demonstrate some new methodologies using multiscale integration to incorporate photonic structures on flexible and curved surfaces for stress and temperature sensing. We will discuss the possibility of adding micro-/nano-structured elements in many more in-situ sensing applications that are not feasible with traditional IC processes.

Renxin Wang

North University of China

Dr. Renxin Wang received the B.S. degree in Tianjin University, in 2008. He received the Ph. D degree at the Institute of Microelectronics, Peking University in 2013. He was a visiting scholar at University College London. Presently, he is a professor at State key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China. He is engaged in the research of MEMS hydrophone and ultrasonic transducer. As the principal investigator, he has led projects supported by the National Key R&D Program of China (Young Scientist Project), NSFC(Excellent Young Scientists Fund),etc. He has published over 50 peer-reviewed papers in leading journals including IEEE Transactions on Industrial Electronics, Microsystems & Nanoengineering. He has been granted more than 20 national invention patents and awarded the Second Prize of Natural Science Award of Shanxi Province.

Speech Title: Research on Capacitive Micromachined Ultrasonic Transducer Technology and Applications

Abstract: Compared with conventional piezoelectric transducers, capacitive micromachined ultrasonic transducers (CMUTs) exhibit numerous advantages, including excellent impedance matching with human tissue, wide bandwidth, high sensitivity, superior electromechanical conversion efficiency, and great potential for large scale integration. This report focuses on the design, fabrication, and applications of CMUTs. Firstly, simulation analyses are conducted to investigate the performance optimization of CMUTs. Secondly, the manufacturing processes and characterization methods are systematically presented, with emphasis on underwater acoustic packaging technologies. Finally, the progress of CMUTs in alcohol concentration detection, underwater pressure sensing, and ultrasonic imaging are discussed.

Jiuren Zhou

Xidian University, China

Jiuren Zhou is a Professor and Ph.D. Supervisor at Xidian University. He has been selected for China’s National Young Talent Program, recognized as a Xiaomi Young Scholar, and certified as a Category-B High-Level Talent of Hangzhou. He received his B.Eng. and Ph.D. degrees from Xidian University under the supervision of Academician Yue Hao. During his doctoral training, he conducted joint research at the University of California, Berkeley, working with Prof. Sayeef Salahuddin and Prof. Chenming Hu, and later carried out research at the Silicon Nano Device Laboratory (SNDL) of the National University of Singapore. He is currently a core member of the research team led by Academician Yue Hao and Prof. Genquan Han at the Hangzhou Institute of Xidian University. His research focuses on emerging ferroelectric memories, in-memory computing devices, and advanced computing chips. He has published over 100 papers in leading microelectronics journals and conferences, including IEEE IEDM, VLSI, EDL, and TED. He authored the monograph Negative Capacitance Field-Effect Transistors and holds more than 30 invention patents. He has led three national-level research projects, including a sub-project of the Science and Technology Innovation 2030 Program, and has received multiple academic honors.

Speech Title: >1e10-Cycle Endurance in Wurtzite Ferroelectrics via a Superlattice and Recovery Protocol Enabling Vacancy Confinement

Abstract: Wurtzite-structured ferroelectrics offer distinct advantages for ultra-high-density, large-scale integrated memory due to their quasi-single-crystalline three-dimensional lattice architecture. However, their application is fundamentally constrained by endurance degradation under electrical cycling, with fatigue failure typically occurring before 108 cycles. The underlying microscopic mechanisms remain poorly understood. Here, we identify nitrogen vacancy (VN) clustering and long-range vertical migration as primary contributors to endurance breakdown. To address this, we design a spatially engineered AlScN/AlN superlattice coupled with a dynamic recovery protocol, jointly suppressing VN accumulation and mobility in both spatial and energetic domains. This combined approach stabilizes the defect distribution under high-field cycling, mitigating dielectric breakdown and polarization degradation. Consequently, we demonstrate ferroelectric endurance exceeding 1010 cycles in a wurtzite system—surpassing prior records by two orders of magnitude. This work clarifies the fatigue-inducing role of VN and establishes a structural–defect co-engineering strategy for highly reliable ferroelectric devices.

Jicong Zhao

Nantong University, China

Jicong Zhao is currently a Professor and Ph.D. supervisor at Nantong University (NTU). He received the Ph.D. degree from the Institute of Semiconductors, Chinese Academy of Sciences, in 2017. From 2019 to 2020, he conducted visiting research at the National University of Singapore. He received Excellent Young Scientists Fund of Jiangsu Province (2025) and undertook 19 research projects, including General Program and Key Program of the National Natural Science Foundation of China (NSFC), Jiangsu Provincial Major Science and Technology Program, Key Project of the Basic Strengthening Program and enterprise-sponsored technology development projects. Prof. Zhao has published more than 30 peer-reviewed papers (IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Electron Devices, etc.), and authorized 10 Chinese invention patents. He has delivered more than 10 invited talks at major academic conferences (UFFC-JS, NSITC, CSCAS, etc.). He served as a co-organizer of the RF Filter Innovation Technology Conference 2025, a session chair of the Circuits and Systems Conference 2025. He also serves as an Associate Editor and Editorial Board Member of Microelectronics Journal, and as a Youth Editorial Board Member of the Chinese Journal of Sensors and Actuators. His research field covers micro/nano electronic science and technology, with a particular focus on RF acoustic resonator and MEMS infrared filter chips.

Speech Title: Electrostatically Actuated MEMS Fabry–Pérot Tunable Filter for LWIR Imaging and Sensing

Abstract: The long-wave infrared (LWIR) band is an important atmospheric window with strong target thermal radiation and rich background information, making it valuable for resource exploration, environmental monitoring, and infrared imaging. Conventional spectral dispersion technologies, such as gratings, Fourier spectrometers, and prisms, generally suffer from large size, complex structures, and poor integrability. MEMS Fabry-Pérot tunable filters (MEMS-FPTFs) based on multi-beam interference provide a compact solution for chip-scale, narrowband, high-resolution, and wide range spectral scanning in the LWIR region. We developed an electrostatically actuated MEMS-FPTF for LWIR. An optoelectronic co-optimization strategy was employed to effectively improve both the spectral resolution and the tuning range. The device achieved continuous tunable filtering over 10.3-12 μm, with a minimum full width at half maximum (FWHM) of 188 nm and a maximum quality factor (Q) of 63.7. This device shows strong potential for high-performance LWIR spectral filtering in remote sensing, autonomous perception, and spectral detection.

Chia-Hung Chen

City Univeristy of Hong Kong, China

Prof. Chia-Hung Chen is an internationally recognized expert in microfluidic biosensors and an Associate Professor of Biomedical Engineering at City University of Hong Kong (Professor from July 2026). He has been recognized among the world’s top 2% most-cited scientists by Stanford University. Prof. Chen received his Ph.D. from the University of Cambridge and completed his postdoctoral training at the Massachusetts Institute of Technology (MIT). His research focuses on soft systems and high-throughput microfluidic technologies for analyzing cellular heterogeneity in human health and disease. By integrating microfluidic engineering with single-cell micro/nano-technologies, he develops innovative platforms that advance diagnostics and therapeutic strategies for complex diseases, including cancer, infectious diseases, and autoimmune disorders, supporting the development of precision medicine. As a principal investigator, he has secured more than 25 internationally competitive research grants. He also serves on the editorial boards of journals including Biomicrofluidics and IEEE publications. His work spans microfluidic systems, biosensors, and single-cell technologies, driving transformative advances in biomedical research.

Speech Title: High-Throughput and Sensitive Metabolic Analysis Using Membrane-Anchored Molecular Sensors on Mother Yeast Cells (MOMS)

Abstract: Yeast, owing to its genetic similarity to humans, is a key model organism for studying fundamental biological processes such as cell division and metabolism in life sciences and drug discovery. However, existing tools for measuring extracellular secretion lack the sensitivity and throughput required for large-scale metabolic analysis. Here, we present MOMS (Molecular Sensors on the Membrane Surface of Mother Yeast Cells) for ultrasensitive single-cell secretion analysis. These sensors are selectively anchored to mother yeast cells and remain confined during budding, enabling stable single-cell assays. MOMS achieve a 100 nM detection limit and screen >10^7 cells per run, providing >30-fold faster screening than droplet methods and enabling rapid identification of rare secretory strains.

Chen Wang

University of Leuven (KU Leuven), Belgium

Chen Wang is a senior researcher at micro and nano system group in the University of Leuven (KU Leuven), Belgium. He obtained his Bachelor’s degree from Anhui University in June 2013. In June 2018, he successfully defended his PhD dissertation at Zhejiang University, China. Subsequently, in October 2021, he defended a second PhD dissertation at the University of Liège, Belgium. These two theses are entirely independent in both publication output and research topics, with one focusing on optics and the other on micro - electro - mechanical systems (MEMS). His research interests encompass MEMS design and optimization, closed-loop systems for MEMS devices, MEMS pressure sensors, inertial sensors, infrared sensors, and resonators. To date, his research has resulted in 56 (14 in Optics, 42 in MEMS) journal paper publications, 62 conference publications, and 8 patents. He has secured funding from various sources over 1.5 million euros over the last four years. He has received academic awards such as the Research Excellence Award from SPIE in the U.S., the Best Presentation Award at IMEKO 2014 in Japan, 3rd place in the “MEMS Design Contest 2018”, 2nd place in Huawei Europe IC Design and was two best - paper finalists at IEEE MEMS 2022 and UFFC-JS 2024. He is on the technical program committee of top MEMS conferences (2025/2026 IEEE MEMS, 2025 Transducer, 2020 IEEE Sensors, 2022 Eurosensors) and is a session chair for the 2025 Transducer Conference. He gave invited lectures at the Univ. of Macau, Peking Univ., and Chinese Academy of Sciences institutes (SIMIT, IMECAS).

Speech Title: Optimize Freeform Geometries for MEMS Devices with Genetic Algorithm

Abstract: In the past two decades, microelectromechanical systems (MEMS) devices have been applied to all aspects of life and industry and have achieved great commercial success. In the next two decades, with the development of the Internet of Things and autonomous driving, the demand for MEMS devices is expected to grow exponentially. These demands also bring requirements for more functions, higher performance, and lower power consumption of MEMS devices. In order to meet these demands, it is necessary to further optimize existing MEMS devices or design new MEMS devices. However, most existing MEMS devices are right-angle structures, and MEMS devices rarely have curved mechanical structures or more complex free geometric structures. But in nature, almost all biological forms always exist in curved structures, such as the streamlined body of dolphins and the freely curved tail of monkeys. These curved structures are the result of natural selection, which enables animals and plants to better adapt to the environment and achieve efficient detection and movement capabilities. Inspired by this, we designed and optimized free curve structures for MEMS based on genetic optimization algorithms and applied them to MEMS accelerometers (sensors) and microgrippers (actuators) respectively. The introduction of free curves greatly improves the performance of these two devices. This design method can be widely applied to various MEMS devices to produce curved MEMS structures of various shapes to achieve performance that is difficult to match with traditional right-angle structures.

You Yu

ShanghaiTech University, China

You Yu is an Assistant Professor in the School of Biomedical Engineering at ShanghaiTech University. He received his Ph.D. degree in Changchun Institute of Applied Chemistry, Chinese Academy of Sciences. After that, he worked as a postdoctoral research associate in the department of Medical Engineering at California Institute of Technology. He is a recipient of MINE Young Scientist Award, CAST Young Scientist Award, and Shanghai 35U35. His research is concentrated on the development and application of wearable bioelectronics, flexible human-machine interface, and medical robotics.

Speech Title: The rise of multimodal sensing electronics and activating soft interfaces

Abstract: Integration of flexible bioelectronics and biomarker monitoring is a rapidly growing research area driven by its promising potential to assist personal healthcare and sustainable environmental managements. Flexible technology introduces novel devices by merging materials science, device manufacture, and medical application. Here, we have developed series of soft electronic-skin for multiplexed wireless perspiration analysis, selectively measuring a wide spectrum of sweat analytes to provide insightful individual`s health information. On the other hand, flexible robotic electronics that mimic and surpass human sensing capabilities is critical to support the further robotic applications. Till now, integrating ultrasensitive physical and chemical sensors for in situ analytic sensing is rather extremely challenging and underdeveloped. We have developed soft human-machine interface for robotic sensing, which can perform proximity sensing, tactile and temperature perceptual mapping, alongside real-time analysis of chemical threat and biohazards.

Xinwei Wei

Zhejiang University, China

Dr. Xinwei Wei, a PI and Assistant Professor at the School of Pharmacy/Jinhua Institute of Zhejiang University. He has led and participated in over a dozen scientific research projects funded by the Ministry of Science and Technology and the National Natural Science Foundation of China. His main research areas include intelligent biomimetic devices, biosensing detection, and intelligent drug delivery systems. As the first or corresponding author, he has published over 30 SCI papers in high-impact international journals such as Nature, Nat. Biomed. Eng., Nat. Rev. Electr. Eng., Matter, ACS Nano, Biosens. Bioelectron. He has also obtained over 10 national invention patents and participated in the compilation of textbooks and academic monographs such as 《Biomedical Sensing Technology》,《Biomimetic Sensing and Intelligent Perception》, and《Advanced Drug Delivery Systems》. He serves as the young academic editor of Bio-Design and Manufacturing, the guest editor of Sensors and Frontiers in Bioengineering and Biotechnology, and is a young editorial board member of journals such as BME Frontiers and Bio integration.

Speech Title: Voice-controlled Capsule: A Biomimetic Auditory Device Based on 3D-Printed Artificial Cilia and Its Biomedical Applications

Abstract: During the auditory perception process in mammals, the hair cells of the cochlea resonate in response to external sound wave signals. Through their highly specialized cilia bundles, the sound wave vibrations are converted into neural excitation signals. Inspired by this, we developed a micro-scale biomimetic auditory device based on an artificial cilia array using high-precision 3D printing technology. This device can directly respond and recognize audible frequency sound wave signals, including piano music and speech signals, without relying on electricity or algorithms. This cilia-based biomimetic device can also generate vibrations in water upon external sound excitation, which can be used in various biomedical applications. For example, by loading insulin and glucagon onto different length/diameter ratios of cilia, we constructed a capsule-shaped resonance-responsive drug delivery device. By applying different frequencies of acoustic stimulation, it can selectively trigger the release of insulin or glucagon, thereby achieving bidirectional glucose regulation functions. Additionally, this biomimetic device can serve as a non-invasive acoustic tool, converting low-frequency acoustic energy into local fluid shear force. It can selectively activate mechanosensitive ion channels on the cell membrane, thereby triggering intercellular calcium waves and being used to regulate calcium ion-related cell behaviors, such as the contraction rhythm of cardiomyocytes and insulin secretion of pancreatic β cells. The cilia-based biomimetic auditory device has broad application potential and can be used for more personalized tasks in the future, including integration with brain-computer interfaces and electronic drugs.

Zhuoran Zhang

Dalian University of Technology, China

Dr. Zhuoran Zhang is currently a professor at Dalian University of Technology. He obtained his PhD degree from the University of Toronto (UofT) in 2019, and then worked at UofT as a postdoctoral fellow. His research interests include micro-robotics, medical robotics, robotic cell manipulation, and biomedical instrumentation with applications for clinical assisted reproductive medicine. The questions to answer in his research stem from clinical applications, and the developed techniques, in return, aim to benefit clinical diagnosis and treatments. His techniques are currently under clinical trials in multiple hospitals. His research has been recognized by both the robotics and automation society and clinical reproductive medicine society by winning multiple best paper awards, including the Best Paper in Automation Award from the IEEE International Conference on Robotics and Automation (ICRA 2019), and the Prize for Technical Achievement Award from the American Society for Reproductive Medicine (ASRM) for three successive years (2020-2022).

Speech Title: Robotic Characterization and Manipulation of Human Sperm for Clinical Infertility Treatment

Abstract: The past decades have witnessed significant progress in the area of micro-robotics and medical robotics for providing innovative cell manipulation and characterization techniques. This talk will introduce robotic and automation techniques for the standardization and optimization of clinical in vitro fertilization (IVF) procedures. IVF is the standard clinical treatment for infertility (couples cannot have a child naturally), which is a global public health issue affecting more than 50 million couples worldwide. This talk will give two representative examples showing how robotic cell manipulation and characterization could benefit and advance clinical IVF treatments, including (1) how robotics and automation techniques could assist decision-making during IVF treatment, and (2) how embodied intelligence could be employed in robotic cell manipulation. The clinical validation of the developed techniques via multi-center clinical trials will also be introduced.

Xudong Zou

Aerospace Information Research Institute, Chinese Academy of Sciences, China

Xudong Zou received the B.Sc. degree in Microelectronics from Peking University, China, in 2009, and the Ph.D. degree in Microsystem from the University of Cambridge, U.K., in 2013. He was affiliated with the Nanoscience Center, Department of Engineering, University of Cambridge, as a Research Associate, and the Churchill College as a Post-Doctoral By-Fellow. He joined Institute of Electronics, Chinese Academy of Sciences in 2016 and is currently a Principal Investigator in Aerospace Information Research Institute, Chinese Academy of Sciences and a Professor in the School of Electronic, Electrical and Communication, University of Chinese Academy of Sciences. He is also the Founding Dean of the School of Electronics and Integrated Circuit, Aerospace Information Technology University. His main research interest lies in the area of MEMS, with a focus on Micro/Nano resonators in inertial sensor, magnetic sensor and signal process applications. He also works on the sensor fusion technologies for autonomous navigation and distributed PNT applications. He has published over 90 peer-reviewed papers in the area of MEMS, Robotic and Artificial Intelligence and granted over 20 patents as co-inventor.

Speech Title: Micro-Nano Resonators for Multi-Parameter Sensing

Abstract: In the last decades Micro/Nano resonators have emerged as excellent tools for sensing. Their applications cover a large range of fields going from the detection of extremely tiny forces to clinical diagnosis. As the size of the devices is scaling down to nanometre scale, researchers have improved considerably their sensibility. With the rapid advancement of the Internet of Things, precision medicine, and advanced manufacturing, there is a growing demand for the simultaneous, real-time monitoring of multiple physical parameters.Micro-nano resonators have become a research hotspot in the field of high-performance sensing due to their high-quality factor, excellent sensitivity, ultra-low power consumption, and ease of on-chip integration. However, traditional single-parameter sensing modes are susceptible to cross-sensitivity, making it challenging to achieve accurate multi-dimensional information decoupling in complex environments. This talk focuses on the latest advancements and core challenges of micro-nano resonators in multi-parameter sensing.

Hemin Zhang

Northwestern Polytechnical University, China

Hemin Zhang received the B.E. degree in electrical engineering and the Ph.D. degree in microelectrome-chanical systems and nanotechnology from NorthwesternPolytechnical University, Xi’an, China, in 2011 and 2017, respectively. From 2019 to 2022, he has been a Post-Doctoral Researcher with ESIEE Paris, University of Cambridge, Cambridge, and KU Leuven. He is currently a Professor with Northwestern Polytechnical University. His research interests include microelectromechanical systems (MEMS) resonators, coupled resonators, mode-localized sen-sors, and their conditioning circuitry. He was a recipient of the Outstanding Paper Award Finalist at Transducers in 2015, the Outstanding Paper Award Winner at IEEE MEMS in 2016, the Silver Award of Chinese Mechanical Engineering Society (CMES) Hiwin Doctoral Dissertation Award in 2018, and the Marie Skłodowska-Curie (MSCA) Individual Fellowship in 2019. He also served as the TPC member for IEEE MEMS 2026.

Speech Title: Self-sustaining oscillators based on thermal actuation and piezo-resistive detection mechanism

Abstract: Micro/nanomechanical resonators have become key components in high-precision sensors, timing references, and quantum mechanics simulations. Thermal-actuation and piezoresistive-detection mechanisms have been demonstrated as a beneﬁcial method to increase Q of resonators working in ambient environments. Principally, the nanobeam expands once a bias DC current is applied through it, causing defections due to Joule heating power. Consequently, the energy delivered by the input current compensates for the dissipation of the resonator caused by mechanical motion, resulting in a signiﬁcant improvement on Q. When thermal compensation is sufﬁcient, self-oscillation can be achieved, even in air-operating conditions. This talk will introduce the most recent progress on thermal-piezoresistive sensors especially in the field of physical sensing such as accelerometers.

Guoqiang Wu

Wuhan University, China

Guoqiang Wu is currently a Professor at Wuhan University. He received the B.Eng. degree in electrical science and technology from Xidian University, Xi’an, China, in 2008, and the Ph.D. degree in microelectronics and solid-state electronics from Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai, China, in 2013. From 2014 to 2018, he was a Research Scientist with the Institute of Microelectronics, Agency for Science, Technology and Research (A*STAR), Singapore. He is currently a Professor with the School of Integrated Circuits, Wuhan University, Wuhan, China. His research interests include MEMS resonators and oscillators, resonant micro/nanoelectromechanical system (M/NEMS) devices, and M/NEMS design and integration. Dr. Wu has published more than 80 peer-reviewed papers (JMEMS, EDL, TED, TIE, APL, etc.) and contributed several conference talks (IEEE MEMS, IEEE NEMS, etc.), and authorized more than 40 invention patents. He has served as a member for the Technical Program Committee of IEEE MEMS Conference (2023–2024). He was a recipient of the Best Dissertation Award of Shanghai in 2014. Together with his students, he was the Finalist in Best Student Paper Competitions at IEEE MEMS (2021).

Speech Title: Q and TCF Tuning for MEMS Resonators Through Mechanical Coupling

Abstract: MEMS resonators commonly suffer from limited quality factor (Q) and restricted freedom in tuning their temperature coefficient of frequency (TCF). This talk introduces a mechanically coupled resonator architecture in which resonant elements with intentionally differentiated dissipation and frequency-temperature characteristics are coupled to enable unified tuning of Q and TCF. When properly designed, the coupled elements are forced to oscillate synchronously at the same resonant frequency, such that the overall Q and TCF of the system are governed by the relative mass, stiffness, and mode participation of each component. As a result, passive Q enhancement and deterministic TCF tuning can be achieved through coupling geometry design, enabling MEMS resonators optimized for either temperature-compensated MEMS oscillators (TCMOs) or oven-controlled MEMS oscillators (OCMOs) implementations. The results highlight mechanical-coupling tuning mechanism as a practical design strategy for advancing high-performance MEMS resonators in timing and sensing applications.

Ruhao Pan

Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, China

Ruhao Pan is currently an Associate Professor at Institute of Physics, Chinese Academy of Sciences (IOP). He received the Ph.D. degree in University of Academy of Sciences (UCAS) in 2019. And then he joined the IOP as a Postdoctoral. In 2021, he was recruited as a key technical expert to the IOP. His research field covers the Micro/Nano fabrication method, plasmonic devices, and optical metasurfaces. Pan has published 1 scientific book, more than 30 peer-reviewed papers (Physical Review Letters, Nature Communications, and Advanced Functional Materials, etc.) and contributed over 20 conference talks (META, ChinaNano, CPS, etc.), and authorized 9 invention patents. In recognition of his research accomplishment, he is selected as the Emerging Leaders by JMM, and won the prize of Outstanding Individual of the Technical Support System of the Chinese Academy of Sciences. He is also a guest editor of Micromichines.

Speech Title: The Fabrication of Lithium Niobate nanostructures with their applications in optical metasurface

Abstract: Lithium Niobate (LN) is called as the silicon of photonics for its superior optical properties including low loss over wide band, large nonlinearity, and high electrooptic coefficient, and is potentially utilized in the optical communication, quantum computing, etc. However, the top-down fabrication of the LN is challenged for its hardness and inactive chemical properties, further hindering its applications in optical devices. Here, we proposed an approach combined the e-beam lithography and reactive ion etching, where structures with linewidth down to 80 nm, sidewall slope of 86°, and high aspect ratio of 3:1. The method paves the way for designing diverse metasurfaces, and fascinating functions have been experimental demonstrated. For instance, metasurface that can enhance second harmonic generation, nonlinear metalens that can achieve focusing of ultraviolet light under the illumination of red light. Most importantly, by leveraging the intrinsic birefringence of LN, a chiral metasurface that based on achiral building blocks was constructed for the first time. The realization of LN metasurfaces show the extraordinary capacity of our fabricating method, and inspire crucial applications in optical field.

Wei Li

Nanjing University of Posts and Telecommunications, China

Wei Li received his B.S. in Mechanical Engineering from Huazhong University of Science and Technology (2008) and Ph.D. in Mechanical Engineering from Michigan State University, USA (2017). From 2017 to 2020, he worked as a Postdoctoral Scholar in the Department of Electrical Engineering and Computer Sciences, and Berkeley Sensor & Actuator Center (BSAC) at the University of California, Berkeley, USA, and as an Affiliate Postdoctoral Fellow at the Lawrence Berkeley National Laboratory (LBNL), USA. In 2020, he was appointed as a tenure-track assistant professor of the College of Engineering and Mathematical Sciences at the University of Vermont, USA, where he founded and directed the UVM microsystems Laboratory. Currently, he is a Professor with the School of Integrated Circuit Science and Engineering at the Nanjing University of Posts and Telecommunications, China. He is also an Adjunct Professor at Huazhong University of Science and Technology, and State Key Laboratory of Flexible Electronics. Dr. Li’s research interests include microelectromechanical systems (MEMS), robotics and mechatronics. His papers have been published in Nature Communications, Cell Reports Physical Science, Nano Energy, Energy, Advanced Functional Materials, IEEE/ASME Transactions on Mechatronics, IEEE-ICRA, IEEE-MEMS, ACS Applied Materials & Interfaces, etc.

Speech Title: Controlled ion-propelled flying microrobot

Abstract: Ion propulsion holds unique potential for silent, solid-state flight in microrobots, yet challenges in thrust efficiency, control, and scalable fabrication have hindered widespread adoption. This talk present the controllable flight of an ultralight (36.7 mg) ion-propelled microrobot with integrated sensing, achieving a record 5:1 thrust-to-weight ratio and 60-minute long-endurance hovering without mechanical actuators. Leveraging an origami-inspired design with cost-effective, high-performance metal-polymer composites, our manufacturing approach enables rapid, simple assembly, overcoming a critical barrier to swarm deployment. The robust payload capacity supports diverse onboard sensors, including an Inertial Measurement Unit, high-definition camera, and Fiber Bragg Grating sensor, facilitating trajectory tracking, imaging, and material detection. This work introduces a new approach to autonomous microrobotic swarm flight, opening opportunities for confined-space surveillance, disaster rescue, and exploration.

Xueqiang Zhang

Beijing Institute of Technology, China

Xueqiang Zhang is a Professor at the Laser Micro/Nano Fabrication Laboratory, Department of Mechanical Engineering, Beijing Institute of Technology, and a recipient of the Overseas Young Talent Program. His research centers on ultrafast laser micro/nano fabrication, processing of metastable nanomaterials, and ultrafast in-situ surface/interface characterization. He employs ultrafast lasers to generate metastable nanostructures and study their dynamics for energy conversion mechanisms; develops inert/vacuum laser processing systems across diverse timescales and pressure regimes; establishes maskless ultrafast laser fabrication for air-sensitive materials; and designs ultrafast near-ambient-pressure photoelectron spectroscopy to investigate ultrafast physicochemical processes. He has published 65 papers (47 as first or corresponding author) and holds 8 patents. He leads projects funded by NSFC Youth/General Programs, National Key R&D Program, and defense-related initiatives. He serves as a young editorial board member for Chinese Journal of Lasers (“Frontier Laser Manufacturing”) and InfoMat.

Speech Title: Maskless micro/nano fabrication by femtosecond lasers under inert atmosphere

Abstract: Femtosecond lasers serve as a novel maskless micro/nano fabrication tool, delivering unique nonlinear processing mechanisms through ultrafast, ultrashort pulses with extreme peak intensity. This enables broad material universality and offers a promising route to precision manufacturing of challenging materials. In ambient air, ablation plumes readily react with oxygen (e.g., forming SiO₂), resulting in extensive redeposition of oxide particles that severely degrade surface cleanliness, amplify interface defects in semiconductors, reduce channel mobility, and compromise device reliability. Processing in vacuum or inert atmospheres (e.g., high-purity N₂ or Ar) effectively suppresses oxidation and redeposition, mitigates thermal accumulation, and yields cleaner, lower-damage microstructures. Moreover, inert environments can shift the material removal mechanism from thermal-dominated to non-thermal processes (Coulomb explosion, multiphoton ionization), enabling finer and more controllable fabrication. This work demonstrates the superior precision machining of flexible metal electrodes, diamond, SiC, glass, and other hard/brittle or heterogeneous materials under inert atmospheres, systematically analyzes the influence of atmosphere on surface quality, morphology, removal mechanisms, and damage suppression, and explores the potential for applications in advanced semiconductors, power electronics, flexible electronics, and hard-material micro/nano manufacturing.

Yang Liu

Beijing Institute of Technology, China; Chongqing Innovation Center, Beijing Institute of Technology, China; Xi’an Institute of Electromechanical Information Technology, China

Yang LIU is currently an Assistant Professor in the School of Mechatronics at Beijing Institute of Technology (BIT). He received his Ph.D. in Microsystems and Microelectronics from the École Polytechnique Fédérale de Lausanne (EPFL). He has been selected as a national-level high-level young talent. His research focuses on microsystem sensing and control, encompassing multi-parameter sensing, thermoelectric conversion and thermal analysis, as well as MEMS and microfluidic actuators. His work is dedicated to constructing miniaturized integrated systems that encompass sensing, information analysis and decision-making, to execution. He has led several national-level research projects, including a grant from the NSFC Young Scientists Fund and multiple defense-related programs. He has published 15 SCI-indexed papers in prestigious journals such as Microsystems & Nanoengineering and Lab on a Chip, and holds 4 authorized invention patents.

Speech Title: Thermoelectric Generators: From Energy Conversion to High-Sensitivity Heat Flux Sensing

Abstract: Thermoelectric effects are traditionally explored for power generation and power harvesting. However, their exceptional sensitivity to temperature gradients offers immense potential for high-precision heat flux sensing applications. This talk introduces our recent research on leveraging Bismuth Telluride (Bi2Te3) thermoelectric generator as high-performance heat flux sensors. We first present a calorimetric microflow sensor utilizing a back-side integrated thermopile probe. By converting flow-induced thermal field shifts into measurable voltage differences, the device achieves considerable sensitivity in order to measure the flow rate, providing robustness in complex or corrosive media as well. Furthermore, we demonstrate a high-throughput chip-calorimeter platform employing patterned thermopile arrays for the real-time monitoring of bacterial metabolic heat flux. This technology enables rapid antimicrobial susceptibility testing with high fidelity to clinical standards. By shifting the focus from energy harvesting to high-resolution sensing, these advancements showcase the transformative potential of thermoelectric conversion in developing miniaturized diagnostic tools and intelligent industrial monitoring systems.

Yuan Huang

Beijing Institute of Technology, China

Yuan Huang, Professor, PhD Supervisor, Institute of Frontier Interdisciplinary Sciences, Beijing Institute of Technology (BIT). He got PhD degree from the Institute of Physics, Chinese Academy of Sciences (IOPCAS) in 2013. He worked as a Research Associate at Brookhaven National Laboratory and Institute for Basic Science (IBS), from 2013 to 2017. He returned to China in 2017 and joined IOPCAS as an Associate Professor, then joined BIT as a Professor in 2021. He has taken charge of more than 10 scientific research projects, including the National Key R&D Program of China (Young Scientists Project), the National Science Fund for Excellent Young Scholars, and the Outstanding Young Scholars Fund of Chongqing Municipality. He was elected a member of the Youth Innovation Promotion Association, CAS in 2019, awarded the honorary title of Top 10 Emerging Scientists in China by the China Association for Science and Technology (CAST) in 2020. He has published more than 170 SCI-indexed papers in prestigious journals including Nature, Nature Materials, Physical Review Letters and Advanced Materials, with the total citations exceeding 10,000 and an H-index of 43. He also holds more than 10 authorized patents. Currently, he serves as an Associate Editor of InfoScience and Applied Physics Review.

Speech Title: Dimensional Regulation and Physical Properties of Two-Dimensional Materials

Abstract: Two-dimensional (2D) materials exhibit exceptional electrical, optical, mechanical and other physical properties, which not only hold great application potential in next-generation information and electronic devices, but also provide a new platform for interdisciplinary scientific research. In our research over the past few years, we have developed a universal exfoliation technique for 2D materials, designed specialized exfoliation equipment, and identified several intriguing interdisciplinary scientific issues in the course of investigating the dimensional regulation of 2D materials. This presentation mainly covers the following aspects: (1) We have developed a quasi-dry transfer technique based on water vapor molecular intercalation, which has enabled the successful fabrication of 2D twisted structures with ultra-clean interfaces and high-performance devices. On this basis, we have established a method for the reversible regulation of the wettability of superhydrophobic plant leaves, and pointed out the long-standing misconception that the superhydrophobicity of the surfaces of plants such as lotus leaves and reeds is dominated by micro-nanostructures. (2) A significant enhancement of optical properties, including fluorescence, second harmonic generation and low-frequency vibrational modes, has been observed in suspended 2D structures. (3) We have realized the fabrication of graphene nanoscrolls and observed complex interlayer coupling modes; furthermore, on-chip polarized light sources have been fabricated based on graphene nanoscrolls.

Yang Xu

Institute of Physics, Chinese Academy of Sciences, China

Yang Xu is an associated professor and PI of N08 Group at the Institute of Physics, Chinese Academy of Sciences (IOP, CAS). He received B.S. from the University of Science and Technology of China in 2011 and Ph.D. from Purdue University in 2018. He then carried out postdoctoral research at Cornell University, and joined the IOP at the end of 2020. His research focuses on device fabrication of low-dimensional quantum materials and their transport and optical properties under extreme conditions, including ultralow temperatures and high magnetic fields, with a recent emphasis on probing and controlling correlated electronic phases in two-dimensional moiré systems. His related work has been published in Science, Nature, and PRL/PRX, etc, and has received over 5,000 citations in total. He has received multiple honors, including “Top 10 Emerging Scientists in China 2023,” the 2024 IUPAP Early Career Scientist Prize in Semiconductor Physics, and the 2025 “Rising Star in Science and Technology” Award from IOP, CAS.

Speech Title: Link between cascade phenomenon and correlated Chern insulators in magic-angle twisted bilayer graphene

Abstract: Magic-angle twisted bilayer graphene (MATBG) is an excellent platform for exploring emergent phenomena arising from topologically nontrivial flat bands at partial fillings. In this talk I will first introduce the research background of MATBG moiré superlattices. I will then present a recently developed Rydberg-exciton sensing technique [1], which exploits the pronounced sensitivity of excited-state excitons in two-dimensional semiconductors to dielectric screening, enabling optical detection of novel quantum states in nearby two-dimensional electron systems. The primary target systems include TMDC moiré superlattices and MATBG. I will discuss that, at zero magnetic field, the high-temperature parent phase of MATBG exhibits a “cascade of phase transitions” (the “cascade phenomenon”), manifested as a series of asymmetric sawtooth features in the electronic compressibility as a function of carrier density. I will show that this behavior can be explained by the widely discussed topological heavy-fermion model for MATBG without invoking any symmetry-breaking state. Furthermore, under out-of-plane magnetic fields, an ordered sequence of correlated Chern insulating states is observed, and a direct link to the zero-field cascade phenomenon is revealed [2]. References: 1. Yang Xu* et al., Nature 587, 214-218 (2020); Nature Nanotechnology 17, 934-939 (2022). 2. Qianying Hu et al., Nature Communications 16, 9516 (2025); Science 380, 1367-1372 (2023).

Zhipeng Ma

Zhejiang University, China

Dr. Zhipeng Ma obtained his M.Sc. and Ph.D degrees in Engineering from Tianjin University, China, in 2012 and Kyoto University, Japan, in 2016, respectively. After a one-and-a-half-year Postdoc career at Kyoto University, he joined Zhejiang University, China. He is now an Associate Professor in the School of Aeronautics and Astronautics and the vice director of the Micro-satellite Research Center. He is also an active member of many domestic and international committes and societies. In 2024, he organized the IEEE International Symposium on Inertial Sensors and Systems as a TPC co-chair. He also serves as the Local Arrangement Chair for MARSS 2026. Dr. Ma is currently engaged in the research of MEMS inertial sensors, MEMS actuators/sensors, and optical image stabilization systems. He has over 30 publications and over 10 patents in the area of MEMS.

Speech Title: Towards a High-performance MEMS Accelerometer with Quasi-zero Stiffness

Abstract: To improve the performance of MEMS accelerometers, we developed the fabrication-friendly approach of forming the quasi-zero stiffness MEMS accelerometers by cancelling out the mechanical stiffness with electrostatic tuning, enabling the reduction of the readout noise. Two control schemes with Pythagorean identity and PWM strategy are proposed for a three-electrode accelerometer configuration to realize a reduced constant-stiffness and high-linearity force-rebalance. And then to further reduce the white noise of accelerometers, we proposed a novel phase-compensation controller for the high quality-factor (Q factor) and quasi-zero stiffness accelerometers. Moreover, a novel force control approach based on dual pulsewidth modulation and mechanical driver-based chopper-stability method is implemented to suppress the leakage of the driving signals and the 1/f noise of the accelerometers.

Cosmin Roman

ETH Zürich, Switzerland

Cosmin Roman received the M.Sc. degree in electrical engineering from the Politehnica University of Bucharest, Bucharest, Romania, in 2002, and the Ph.D. degree in micro and nanoelectronics from the National Polytechnic Institute of Grenoble (INPG), France, in 2006, with a focus on modeling carbon nanotube sensors. He is currently a Senior Researcher with ETH Zürich. He has coauthored more than 90 scientific publications in journals or conferences papers. His expertise is multi-physics and compact modeling of transducers. His current research interests include sensor concepts for energy efficient applications, implantable devices based on acoustic metamaterials, and machine learning techniques for sensor applications.

Speech Title: Physics-Informed Autoencoders for Sensor Signal Analysis

Abstract: Sensors collect data from the environment to support a vast range of applications. All sensors require some form of feature extraction to transform sensor output signals for further analysis. This can be as simple as a lookup table. However, in many other cases, the relevant information is implicit within the multidimensional sensor output and requires more analytical effort to extract. In this talk, we present our recently introduced method, the Physics-Informed Autoencoder (PIAE), for feature extraction and dimensionality reduction of implicit, multidimensional sensor measurement data. This approach builds upon classical autoencoders (AE), retaining their strengths while adding physical interpretability to the latent space. We demonstrate our method using several measurement datasets from Carbon Nanotube Field-Effect Transistor (CNT-FET) gas sensors. The selected features, derived from transistor transfer characteristics, correspond to four typical parameters: the threshold voltage, the subthreshold swing, the current in the ON state and the transconductance. Furthermore, we illustrate the usefulness of the extracted features by successfully analyzing gas concentrations in mixture of multiple gases.

Toshiyuki Tsuchiya

Kyoto University, Japan

Toshiyuki Tsuchiya received the M.S. degree from The University of Tokyo, Japan, in 1993, and the Ph.D. degree from Nagoya University, Japan, in 2004. He worked with Toyota Central Research and Development Laboratories from 1993 to 2004. In 2004, he joined the Department of Mechanical Engineering at Kyoto University, Kyoto, Japan, and currently serves as a Professor in the Department of Micro Engineering at the same university. He is also the Director of the Nanotechnology Hub in Kyoto University. His current research interests include silicon micromachining, its application in MEMS (Micro-Electro-Mechanical Systems), the mechanical property evaluation of micro materials, and the reliability of MEMS devices. Dr. Tsuchiya has been actively involved in numerous international conferences and workshops focusing on MEMS and microsystems, including the International Conference on Solid-State Sensors and Actuators (Transducers) and the International Conference on Micro Electromechanical Systems (IEEE MEMS), where he served as a General Co-Chair for the IEEE MEMS 2013 in Taipei. He is currently an Editorial Board Member of the IEEE Journal of Microelectromechanical Systems, the Journal of Micromechanics and Microengineering, and Micro & Nano Letters. He was honored with the R&D 100 Award for his research on the "Thin film Tensile Tester" in 1998 and the IEC 1906 Award in 2012 by the International Electrotechnical Commission.

Speech Title: MEMS Resonators for Edge AI

Abstract: MEMS resonators are integrated components in sensors, actuators, and timing devices, offering high sensitivity, sophisticated actuation, and high stability and reliability within their microstructures. Their small size and low power consumption have driven widespread adoption in IoT edge devices. By leveraging the temporal retention of input signals through resonance, these devices allow for highly customizable dynamics, ranging from simple oscillations to complex behaviors, via structural innovation and array configurations. Recently, these characteristics have been utilized for in-device signal processing. MEMS resonators satisfy the three requirements for physical reservoir computing: short-term memory, nonlinearity, and high dimensionality. These capabilities suggest that integrating resonators with MEMS-based sensing and actuation could pave the way for autonomous edge processing systems. This presentation highlights our recent work on physical reservoir computing using capacitive MEMS devices and discusses their potential in future Edge AI technologies.

Zegao Wang

Sichuan University, China

Zegao Wang was got his PhD degree in 2014, and then work as postdoc/visiting researcher in Denmark, UK and Norway. He was employed as full professor in 2018 at Sichuan University, China. His research mainly focuses on the wafer-scale growth and electronics application of graphene and beyond 2D materials, including gas sensors, photodetectors. Up to now, he has published more than 200 papers including Nature Commun., Science Advances, PNAS, Advanced Materials.

Speech Title: The growth of 2D Semiconductor and its multi-dimensional photodetection

Abstract: Compared to traditional refrigerated (such as HgCdTe, InSb) and unrefrigerated infrared detection materials (Si, InGaAs), 2D materials, especially the transition metal dichalcogenides (TMDCs), exhibit rich physical properties due to their atomic-level thickness, high carrier mobility, and extremely easy-to-adjust electronic structure, making it possible to realize the miniaturization, portability, high performance, and low power consumption of infrared detection materials. Based on this topic, our group focus on the growth of these novel 2D materials, including MoS2, PtSe2 and PtS. During the growth, we mainly tune the surface nanostructure, percussor and the setup, and finally realized: 1) 4-inch MoS2 continue film; 2) 2-inch PtSe2. Then, we focus on the electronic/photoelectrical property and their tunability. It was found that the junction promotes the separation of photogenerated electrons and holes due to the formation of a built-in electric field. The photoexcitation originating from the inter-band will extent the photoresponse range from visible to NIR. Some 2D materials such as In2Se3 shows both light-sensitive and polarization-sensitive behavior, facilitating to fabricate multi-dimensional photodetection. Nowadays, MoS2 already realize wafer-scale growth, however its isotropic optical property limited its further application. Regarding this issue, we also studied the modulation such as micro-structure hybridization and bi-layers twisting, which exhibits the potential ability in future multi-dimensional photodetection.

Wei Zheng

Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Dr. Wei Zheng is a professor in Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, China. He received his B.S. degree in Optical Engineering from Zhejiang University in 2003, and his Ph.D. degree in Electronic and Computer Engineering from Hong Kong University of Science and Technology in 2011. After his graduation from HKUST, he jointed into SIAT as an associate professor. In 2016, he was promoted to professor. His current research interests focus on developing novel biomedical imaging techniques. He has authored and co-authored more than 100 journal and conference articles which were published on Nature Methods, Optics Letters, Optics Express, and so on. He is a member of Optical Society of America, a senior member of Chinese Optical Society and a senior member of Chinese Society of Biomedical Engineering.

Speech Title: Development and application of novel two-photon microscopy

Abstract: Two-photon microscopy (TPM) allows observation of cellular and subcellular dynamics and functions in deep live tissue within highly complex and heterogeneous environments, providing critical in situ and in vivo information for biological studies. In past decades, we have witnessed the striking development of TPM which has significantly revolutionized biomedical research. In this talk, I will present several novel TPM systems developed in our lab recently, as well as their application in biological studies. A short wavelength excitation time- and spectrum- resolved TPM system was instrumented to detect the endogenous fluorophores in biological tissues. A TPM system equipped with adaptive optics to extend its field-of-view which is 20 times larger than that of conventional system. Finally, an axial gradient excitation TPM will be exhibited. It can accelerate the volumetric imaging speed about 10 times quicker than conventional one.

Hao Jia

State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences

Hao Jia, Associate Professor of State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT). He received his Ph.D. degree in Electrical Engineering from Case Western Reserve University, USA. His research focuses on micro/nanoelectromechanical systems (MEMS/NEMS) sensors. He was the recipient of the High-Level Talent Award of the Ministry of Human Resources and Social Security, the Shanghai Leading Talent Award, and the Shanghai Pujiang Talent Award. He has published more than 60 peer-reviewed papers, including in Science Advances, Nano Letters, ACS Nano, etc. He has also applied for 13 patents, with 5 granted. He was also the recipient of the First Prize of the Shanghai Technology Invention Award, the Chinese Instrument and Control Society Innovation Achievement Award for Analytical Instruments, the Science Innovation Award, the Emerging Scholar Award, the Young Scientist Award Finalist, the Best Oral Presentation Award, and the Best Paper Award at international conferences. He is currently the youth editorial member for journals, Microsystems & Nanoengineering, Chip, etc.

Speech Title: MEMS Sensors for Differential Thermal Analysis

Abstract: Differential thermal analysis (DTA) stands as a pivotal thermal analysis technique in the realm of material characterization, with its significance spanning diverse fields like energy, environmental protection, and semiconductors. However, traditional bulky and expensive DTA instruments have faced the bottleneck of low sensitivity (~1-10 mV/W) and slow heating and cooling rates (~1℃/s), thereby impeding the accuracy and efficiency in innovating functional nanomaterials. To address this challenge, we have developed a miniature MEMS sensor-based DTA technique thanks to the scalable fabrication. Through high-density integration of silicon thermocouples on a single microchip, the DTA sensors exhibit ultra-high sensitivity (~30mV/℃, 100V/W) and ultra-fast heating and cooling rates (~105℃/s), both representing significant improvements over the traditional DTA counterparts. Our high-performance MEMS sensors hold promise for next-generation rapid and precise DTA characterization for a wide range of applications.

Invited Speeches

Invited Speakers

Dayu Liu

Ren Shen

Wanlei Gao

Hong Zhou

Shengtai Bian

Xu Du

Xiaoping Li

Shuailong Zhang

Wenhao Hui

Wei Wang

Bo Long

Liqiu Wang

Hou Han Wei

Mojun Chen

Daniela Nunes Gomes

Chunfeng Wang

Rusen Yang

Weiguan Zhang

Qilin Hua

Ziya Wang

Kai Dong

Linchuan Zhao

Chang Gao

Zhihua Pu

Jiyu Li

Yadong Xu

Nan Wang

Tao Wu

Bo Xu

Yansong Yang

Chengjie Zuo

Qingkun Liu

Jizhai Cui

Zhan Shi

Xiang Zhao

Yisen Wang

Bo Zhang

Ming Lyu

Fan Yang

Hongxiang Han

Changhong Cao

Guosheng Tang

Wanlu Li

Mian Wang

Jiaqi Liu

Yan Wang

Cui Ye

Dengfeng Li

Shichao Ding

La Li

Jie Wang

Andrea Vergara

Yuanlin Xia

Yali Sun

Xuge Fan

Shengwei Jiang

Ting Wen

Yu Du

Hao Zheng

Jie Song

Lu Wang

Yingning He

Binghao Wang

Guanlin Liu

Lei Yang

Lingyun Wang

Yunxing Lu

Zhuo Li

Xuqian Zheng

Yuxuan Jiang

Sihai Luo

Songsong Tang

Yan Wang

Shilun Feng

Xiuhan Li

Lindong Wu

Junyi Zhai

Guangze Yang