Sensing Intelligence & System Lab
Department of Computer Science & Engineering · Shanghai Jiao Tong University
Selected projects: Polaris · MagDesk · METRO · MagX · DualStrike · MagDot · MAGIC · MagAndroid (click to learn more)
In today's rapidly changing technology landscape, we are poised to land on Mars and build intelligence that can surpass us. Yet, our technologies still severely fall short in understanding ourselves — analyzing everyday motion with high accuracy, quantifying our habits. Sometimes even our step counter is not accurate!
At SISL, we bridge this gap between ourselves and machines by building human-centered sensing systems. Our work empowers individuals to better understand and improve their mobility, safety, and well-being, and fuels innovations in autonomous driving, robotics, and beyond.
We are led by Dongyao Chen. Find our latest demos on our YouTube channel and code on GitHub . Interested in our magnetic sensing work? See the dedicated project page.
Recent News
- Feb. 2026 MagLens accepted at SenSys 2026! Congratulations to Jike and the team!
- Jan. 2026 microTouch accepted at PerCom 2026! Congratulations to Siyuan and the team!
- Oct. 2025 DualStrike accepted at NDSS 2026 — first demonstration of vulnerability in magnetic sensing platforms. Congratulations to Xiaomeng and the team!
- Jun. 2025 Prof. Chen serving as Student Travel Grant co-chair for MobiCom 2025.
- Apr. 2025 BRIDGE accepted at MobiCom 2025.
- Nov. 2024 MagDesk accepted at UbiComp 2025 Distinguished Paper. Check out the demo.
- Sept. 2024 Prof. Chen serving in the TPC for MobiCom 2025.
- Aug. 2024 Invited talk: "Enabling Magnetoreception for Cyber-Physical Systems" at NUS, NTU, and SMU.
- Jun. 2024 Polaris accepted at MobiCom 2024! Watch the demo.
- Dec. 2023 MagDot accepted at UbiComp 2024 — world's first drift-free, low-cost joint angle sensing platform.
- Oct. 2023 METRO accepted at SenSys 2023 — magnetic sensing for safer roads. First paper by student Jike Wang!
- Mar. 2023 VeFi receives Best Paper Award at VehicleSec 2023 Best Paper.