报告题目：When Photoacoustic Effect Meets Wireless Sensing

报告时间：2026年6月12日（周五）14：00

报告地点：开发区校区综合楼第一会议室

报告人：熊杰

报告内容：

Existing wireless sensing systems exploit various forms of energy, including electromagnetic waves (e.g., Wi-Fi), mechanical waves (e.g., acoustic signals), and optical waves (e.g., lasers and LEDs). However, sensing is typically confined to a single energy form, with limited exploration of converting energy across different forms. In this talk, I introduce cross-energy-form sensing as a new paradigm. Its key insight is that energy can be transformed into the most suitable form at different stages of propagation, enabling sensing capabilities that are difficult or impossible to achieve using any single energy form alone. I will present two recent systems that leverage the photoacoustic effect to bridge light and sound for wireless sensing. First, in LightSaber (IMWUT ‘26), we demonstrate that a laser can deliver energy from over 50 meters away and convert it into acoustic signals for both sensing and sensing attacks. Second, in our work currently under submission to MobiCom ‘26, we uncover a surprising phenomenon: a low-cost (~$0.5) butterfly wing can outperform specially engineered vibration-sensitive microphone diaphragms by more than 1000 × in terms of converting light energy into acoustic energy. Under LED illumination, it can generate sound levels exceeding 70 dB, comparable to a raised speaking voice. Building on this discovery, we demonstrate the butterfly wing as a bio-speaker for audible information delivery and as a platform for fine-grained ultrasound sensing. I hope this line of research will encourage the community to look beyond conventional engineered devices and explore bio-inspired materials for cross-energy sensing as a foundation for next-generation wireless systems.

报告人简介：

Jie Xiong is a Nanyang Associate Professor and Provost's Chair in the College of Computing and Data Science at Nanyang Technological University (NTU). Jie earned his Ph.D. from University College London, and his dissertation was recognized as the Runner-Up for the 2016 British Computer Society Distinguished Dissertation Award. Jie’s research interests span wireless sensing, mobile computing, and smart health. His work has received numerous prestigious awards, including the SIGMOBILE Rockstar Award 2025, SIGMOBILE 2024 Test-of-Time Award, MobiCom 2024 Best Paper Award, SenSys 2022 Best Paper Award, SECON 2022 Best Paper Award, UbiComp (IMWUT) 2021 Distinguished Paper Award, CoNEXT 2014 Best Paper Award, as well as Best Paper Runner-Up awards at MobiCom 2020, 2021, and 2022 and Best Paper Honorable Mention at SenSys 2026. He is also a recipient of the NSF CAREER Award and the NIH R01 Award.