Ambient Intelligence Lab

AmI (Ambient Intelligence) Lab

AmI Lab is in CSE at the University of Michigan led by Prof. Ke Sun. We build AI-native computational sensing systems for mobile, wearable, IoT, and robotic platforms. Our research centers on three questions:

  • How can off-the-shelf sensors be repurposed to achieve extended sensing capabilities?
  • How can we address the systems challenges of emerging AI-native sensing systems?
  • How can sensing systems be designed to better support everyday life?

Recent Research Highlight

If you are interested in the AmI Lab’s ongoing research projects, please visit the Research page.

Lab News

MoiréLens (sensing and visualizing invisible air flow change) is accepted by SenSys 2026! Congratulations to Linzhen and Runqiu! Mar 2026
KDC (Sensor data delivery through knowledge-driven communication using MLLM) is accepted by NSDI 2026! Congratulations to Xingyu! Dec 2025
MagicPatch (attack on mmWave security screening systems) is accepted by MobiCom 2026! Congratulations to Shuning! Dec 2025
EarCardio (cardiac monitoring using commercial TWS earbuds) is accepted by MobiCom 2026! Congratulations to Yongjian! Dec 2025
UWB-Prac is accepted by SenSys 2026! Congratulations to Kailai! Nov 2025
Samsung START Project supports our lab’s research on multi-modal lifelong memory augmentation systems. Aug 2025