Wireless Sensing AI: Machine Intelligence Beyond Vision and Language
Event details
| Date | 13.10.2025 |
| Hour | 11:00 › 12:00 |
| Speaker | Dr. Chenshu Wu |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract: Can machines perceive without cameras or sensors? While computer vision allows machines to "see", its capabilities based on cameras are fundamentally limited by specific fields of view, lighting conditions, and the inability to see through obstacles. In this talk, I will introduce Wireless Sensing AI, a paradigm that endows machines with a new sense to understand the physical world using ambient wireless signals-seeing through walls and in absolute darkness. Wireless Sensing AI reimagines Wi-Fi, transforming everyday wireless devices from a pure communication medium into a ubiquitous all-in-one sensing platform. We will first introduce our unique signal processing solution (Wi-Fi Sensing 1.0), which has been commercialized and is currently operational across over 100 million IoT devices worldwide. We will then present a signal processing-deep learning co-design for Wi-Fi Sensing 2.0. The talk will conclude with a preliminary investigation into open benchmarks and frameworks for "sensing foundation models".
Biography:
Dr. Chenshu Wu is an Assistant Professor and Associate Head in the Department of Computer Science at the University of Hong Kong, where he leads the HKU AIoT Lab. Prior to joining HKU, he served as Chief Scientist at Origin AI and worked at the University of Maryland, Princeton University, and Tsinghua University. His research focuses on wireless and mobile AIoT systems for homecare, eldercare, and healthcare. He has authored three books and over 100 papers in top-tier venues such as SIGCOMM, NSDI, OSDI, MobiCom, MobiSys, UbiComp. He holds over 80 filed or granted patents, and his work on Wi-Fi sensing has been deployed globally in award-winning commercial products. He is the recipient of IEEE Communications Society Fred W. Ellersick Prize, NSF China Excellent Young Scientists Fund, NAM Healthy Longevity Catalyst Award, and CCF Outstanding Doctoral Dissertation Award. He serves as an associate editor of ACM IMWUT and ACM TIoT, the Journal Track Co-Chair of EWSN'25 and the TPC Co-Chair of IEEE ICPADS'24. He co-organized workshops including HotSense'25, RFCom'24, Wireless AI Perception 2022, and regularly serves on the TPC of MobiSys, SenSys, MobiHoc, ICDCS, INFOCOM, and others. He received his B.S. and Ph.D. degrees from Tsinghua University. More information at https://cswu.me.
Biography:
Dr. Chenshu Wu is an Assistant Professor and Associate Head in the Department of Computer Science at the University of Hong Kong, where he leads the HKU AIoT Lab. Prior to joining HKU, he served as Chief Scientist at Origin AI and worked at the University of Maryland, Princeton University, and Tsinghua University. His research focuses on wireless and mobile AIoT systems for homecare, eldercare, and healthcare. He has authored three books and over 100 papers in top-tier venues such as SIGCOMM, NSDI, OSDI, MobiCom, MobiSys, UbiComp. He holds over 80 filed or granted patents, and his work on Wi-Fi sensing has been deployed globally in award-winning commercial products. He is the recipient of IEEE Communications Society Fred W. Ellersick Prize, NSF China Excellent Young Scientists Fund, NAM Healthy Longevity Catalyst Award, and CCF Outstanding Doctoral Dissertation Award. He serves as an associate editor of ACM IMWUT and ACM TIoT, the Journal Track Co-Chair of EWSN'25 and the TPC Co-Chair of IEEE ICPADS'24. He co-organized workshops including HotSense'25, RFCom'24, Wireless AI Perception 2022, and regularly serves on the TPC of MobiSys, SenSys, MobiHoc, ICDCS, INFOCOM, and others. He received his B.S. and Ph.D. degrees from Tsinghua University. More information at https://cswu.me.
Practical information
- General public
- Free
Organizer
- Prof. Haitham Al Hassanieh