The 3rd International Conference on AI Sensors and Transducers
- Late-breaking Poster Submissions are now open!
If you missed the initial deadline, this is your final opportunity to present your research as part of our poster sessions. The submission portal will remain open for a limited time – please Submit Abstract as soon as possible.
- Security Notice
Please note that all official conference emails will be sent exclusively from the @mdpi.com and @sciforum.com domains. Please do not respond to any suspicious emails or share personal or financial information through unverified channels.
Share about AIS 2026
Simply download and forward the conference flyer to your network!
the chairs
We are delighted to host you—the innovators, researchers, and experts who are shaping the future at the exciting intersection of sensors, sensing technology, transducers, and artificial intelligence. AIS 2026 is dedicated to exploring the very latest advancements in AI-enhanced sensing systems and transducers, a field evolving at a breathtaking pace.
We are confident this conference will be a stimulating, productive, and memorable experience for all. Let us embark together on this exciting journey of discovery and collaboration.
Prof. Inkyu Park, Korea Advanced Institute of Science and Technology
Prof. Zhou Li, Tsinghua University
Prof. Xinge Yu, City University of Hong Kong
Prof. Chengkuo Lee, National University of Singapore
Meet the Event Chairs
Meet Our Speakers
Prof. Wei Gao
California Institute of Technology;
Wei Gao is a Professor of Medical Engineering and Heritage Medical Research Institute Investigator at the California Institute of Technology. He earned his Ph.D. from the University of California, San Diego in 2014, followed by a postdoctoral fellowship at the University of California, Berkeley from 2014 to 2017. He is a recipient of NSF Career Award, ONR Young Investigator Award, IAMBE Early Career Award, Sloan Research Fellowship, Pittcon Achievement Award, IEEE EMBS Early Career Achievement Award, IEEE EMBS Technical Achievement Award, IEEE Sensor Council Technical Achievement Award, MIT Technology Review 35 Innovators Under 35, and Falling Walls Breakthrough of the Year in Engineering and Technology. He is a World Economic Forum Young Scientist, a Highly Cited Researcher (Web of Science). He is an elected Fellow for AIMBE and RSC. His research interests include wearable biosensors, digital medicine, bioelectronics, additive manufacturing, and micro/nanorobotics.
Prof. Mo Li
University of Washington;
Mo Li is a Professor of Electrical & Computer Engineering and Professor of Physics at the University of Washington (UW). Prior to joining UW in 2018, he was a faculty member in the Department of Electrical and Computer Engineering at the University of Minnesota since 2010. From 2007 to 2010, he was a postdoctoral associate in the Department of Electrical Engineering at Yale University. He received his Ph.D. degree in Applied Physics from Caltech in 2007 and a B.S. degree in Physics from the University of Science and Technology of China (USTC) in 2001. Dr. Li is the principal investigator of the Laboratory of Photonic Systems at UW. His main research interests include integrated photonics, optoelectronics, optomechanics, and quantum photonics. He is an elected fellow of Optica (former OSA).
Prof. Shoji Takeuchi
The University of Tokyo;
Shoji Takeuchi received his B.E., M.E., and Dr. Eng. degrees in Mechanical Engineering from the University of Tokyo, Japan, in 1995, 1997, and 2000, respectively. He is currently a Professor in the Department of Mechano-Informatics, Graduate School of Information Science and Technology at the University of Tokyo. He has authored more than 255 peer-reviewed publications and has filed more than 140 patents. He has received numerous honors, including the MEXT Young Scientists' Prize in 2008, the JSPS Prize in 2010, the ACS Analytical Chemistry Young Innovator Award in 2015, the UNESCO Netexplo Award in 2019, and the JSME Micro-Nano Science & Technology Achievement Award in 2022. His current research interests include cultivated meat, 3D tissue fabrication, bioMEMS, implantable devices, artificial lipid bilayer systems, and biohybrid robotics.
Prof. Hyunhyub Ko
Ulsan National Institute of Science and Technology;
Hyunhyub Ko is a Professor at the School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea. He received his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology in 2008, following an M.S. from Iowa State University and a B.S. from Chung-Ang University. He completed postdoctoral training at the University of California, Berkeley, in Electrical Engineering and Computer Sciences. Before joining UNIST as a faculty member in 2010, he worked as a research engineer at Hyosung Corporation and as a research student at KIST. His research focuses on functional nanomaterials and devices, combining bottom-up assembly and top-down lithography to hierarchically organize organic and inorganic nanomaterials such as carbon nanotubes, graphene, nanowires, and nanoparticles. His lab explores fundamental nanomaterial properties and collective behaviors of micro/nanostructures for applications in electronics, optics, sensors, and biomedical devices.
S1. Metasurface and Metaoptics
S2. AI-Accelerated Design for Materials and Sensors
S3. AI-Driven Biomedical Imaging and Diagnostics
S4. AI-Enhanced Bioelectronics
S5. AI-Driven Bio/Chemical Sensors
S6. AI Sensors for Smart Healthcare Applications
S7. Microfluidics, Lab-on-a-Chip and MicroTAS
S8. Advanced Sensors for Robots and Autonomous Systems
S9. Soft Sensors and Actuators for Human-Machine Interface
S10. Soft Robotics Technologies
S11. Flexible, Stretchable and Wearable Sensors
S12. Nanogenerators and Self-Powered Sensors
S13. Energy Harvesting Technology and Intelligent Sensing Applications
S14. Sensing Technology for Natural and Harsh Environment
S15. IoT Sensors and System Integration
S16. Remote Sensing and Its Applications
S17. Smart Cities Sensing Technologies
S18. Cross Data for Sensing Applications
S19. MEMS/NEMS Sensors
S20. Wearable and Flexible Ultrasound Electronics
S21. Optical MEMS and Photonic NEMS
S22. Fiber Optics for Biosensing, Environmental Sensing, and Wearable Applications
S23. Si Photonics for Sensing and Edge Computing
S24. 2D Material-Enabled Nanosensors, Neuromorphic Computing and Applications
S25. Nanomaterials and Gas/Chemical Sensors
S26. Smart Gas Sensors and Artificial Olfactory
S27. Regular Symposium
 |
 |
 |
 |
 |
 |
 |
 |
 |
Dr. Alina-Andrada Igna
Ms. Alethea Liu
Mr. Benjamin Tay
Ms. Elara Liu
ais2026@mdpi.com