I am looking for self-motivated Ph.D. students to join my group. Find more details here if you are interested.

Kun Qian

Kun Qian

Assistant Professor

University of Virginia


I am an Assistant Professor in the Department of Computer Science at the University of Virginia. Previously, I was a postdoctoral researcher at the University of California San Diego, working with Professor Xinyu Zhang. I received my Ph.D. from Tsinghua University in 2019, under the supervision of Professor Yunhao Liu and Professor Zheng Yang. I also received my B.E. from Tsinghua University in 2014.

My research interests center around ubiquitous intelligence empowered by wireless sensing technologies. I build sensing models, algorithms, and systems utilizing pervasive wireless media, with applications across a spectrum of physical-aware scenarios, including next-generation communication, smart IoT, autonomous driving, and mobile computing.


  • 2023/11, Our paper NeuroRadar won the Best Paper Award in ACM SenSys 2023.
  • 2023/10, Our paper KeyStub got accepted by ACM IMWUT/UbiComp 2024.
  • 2023/09, Our papers NeuroRadar and Metasight got conditionally accepted by ACM Sensys 2023.
  • 2022/12, Our paper SLNet got accepted by USENIX NSDI 2023.
  • 2022/11, Our paper UniScatter got conditionally accepted by ACM MobiCom 2023.


KeyStub: A Passive RFID-based Keypad Interface Using Resonant Stubs
Metasight: High-Resolution NLoS Radar with Efficient Metasurface Encoding
NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems
UniScatter: a Metamaterial Backscatter Tag for Wideband Joint Communication and Radar Sensing
SLNet: A Spectrogram Learning Neural Network for Deep Wireless Sensing
MilliMirror: 3D Printed Reflecting Surface for Millimeter-Wave Coverage Expansion
3D Point Cloud Generation with Millimeter-Wave Radar
RoS: Passive Smart Surface for Roadside-to-Vehicle Communication
Widar3.0: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi


  • 2023/11, Best Paper Award, SenSys (1/179)
  • 2020/10, Best Paper Award, MobiCom (2/384)
  • 2018/05, Best In-Session Presentation Award, INFOCOM (1/4)
  • 2017/05, Honorable Mention Award, CHI (top 5% submission)
  • 2014/12, Best Paper Candidate, ICPADS (4/323)