Ke Sun

Ke Sun is an Assistant Professor in the EECS Department at the University of Michigan, Ann Arbor. His research develops intelligent, deployable sensing systems for mobile, wearable, and IoT ecosystems, with applications in HCI, cybersecurity, health monitoring, and robotics. His work has been implemented in commercial devices like Amazon Echo and Google Home.

Research spans:

• HCI for Mobile/IoT: Touch/gesture sensing (VSkin, RFCanvas)
• Cybersecurity: Privacy protection against eavesdropping (EveGuard, StealthyIMU)
• Health/Environmental Sensing: Vital sign monitoring (LoEar), activity logging (EgoADL)
• Wireless/Robotics: mmWave radar navigation (milliEgo), acoustic temperature sensing (VECTOR)

Publication trends show consistent focus on acoustic/wireless sensing (13/15 papers), cybersecurity (5/15), and cross-modal AI fusion. Recent work explores adversarial ML attacks and LLM vulnerabilities.

Awards include:

• Google Ph.D. Fellowship (2023)
• UbiComp Distinguished Paper Award (2023)
• ACM SenSys Best Poster Runner-up (2020)
• ACM-ICPC Asia Gold Medal (2015)

Industry collaboration includes three internships at Amazon Lab126 where his research influenced Echo device development. He serves on program committees for ACM MobiSys/SenSys and organized the ICLR ML for IoT Workshop.