Ubiquitous Computing · Mobile Sensing · Multimodal AI
Duo Zhang 张舵
Postdoctoral Researcher, ETH Zürich
Ph.D., Peking University, June 2026
I am a Postdoctoral Researcher at the Center for Project-Based Learning at ETH Zürich, working with Prof. Dr. Michele Magno. I received my Ph.D. from the School of Computer Science at Peking University in June 2026, advised by Prof. Daqing Zhang, and my B.S. degree from the School of Computer Science at Northwestern Polytechnical University in 2021.
My research lies at the intersection of ubiquitous computing, mobile computing, and multimodal foundation models. My long-term goal is to bring foundation-model agents beyond the virtual world and into the physical environments where they can understand and assist people in everyday life. To do so, agents must perceive continuous human context: what people are doing, how their physical and physiological states evolve, and when support may be needed. I see sensing as the essential bridge connecting people, the physical world, and intelligent agents.
Toward this goal, I have pursued a systematic research agenda across the full mmWave sensing stack: foundational sensing infrastructure, including automatic radar extrinsic calibration, multipath mitigation, and sensing-coverage extension; mid-level human representations, including multi-person vital-sign monitoring, pose estimation, and behavior recognition; and high-level semantic understanding and reasoning with foundation models. Together, these layers provide the real-world perceptual foundation that intelligent agents need to assist people reliably, continuously, and with privacy.
News
Recent updatesTwo papers accepted at ACM IMWUT / UbiComp 2027.
One paper accepted at ACM SenSys 2027.
One paper accepted at ACM MobiCom 2026. See you in Austin!
Four papers accepted at ACM UbiComp / IMWUT 2026.
One paper accepted at ACM UbiComp / IMWUT 2026.
One paper accepted at ACM MobiSys 2026.
One paper accepted at ACM SenSys 2026.
Two papers accepted at ACM UbiComp / IMWUT 2026.
Publications
Selected and recent work · lead-author papers firstFrom Spatial Domain to Temporal Domain: Unleashing the Capability of CFAR for mmWave Point Cloud Generation
ACM IMWUT / UbiComp
MmECare: Enabling Fine-grained Vital Sign Monitoring for Emergency Care with Handheld MmWave Radars
ACM IMWUT / UbiComp
Waffle: A Waterproof mmWave-based Human Sensing System inside Bathrooms with Running Water
ACM IMWUT / UbiComp
Awards
Honors and recognition- 2026
Best Student Challenge Award, ACM UbiComp 2026
- 2026
CCF Pervasive Computing TC Outstanding Doctoral Dissertation
- 2026
Outstanding Doctoral Dissertation, School of Computer Science, PKU
- 2026
Outstanding Graduate of Peking University
- 2025
Ten Outstanding Academics, School of Computer Science, Peking University
- 2025
1st Place, SDP Sensing Challenge @ ACM MobiCom News report ↗
- 2024
National Scholarship
Professional Service
Academic community- Reviewer, ACM UbiComp / IMWUT (2024–2026)
- Reviewer, IEEE Transactions on Mobile Computing (2025–2026)
- Reviewer, ACM Transactions on Internet of Things (2026)
- Program Committee Member (Reviewer), AAAI 2026
- Reviewer, IEEE Transactions on Radar Systems (2026)
- Reviewer, IEEE Transactions on Automation Science and Engineering (2026)
- Reviewer, CCF Transactions on Pervasive Computing and Interaction (2026)
- Reviewer, IEEE Transactions on Instrumentation and Measurement (2026)
- Reviewer, ACM Transactions on Computing for Healthcare (2025)
- Artifacts Evaluation Committee, ACM MobiCom (2025)
- Reviewer, ACM CHI (2024)
Demos
Systems in actionmmMind: Teaching Foundation Models to Read mmWave for Human Behavior Understanding
Project demo · arXiv:2608.04127
MuPose: Breaking the Scalability Barrier of mmWave Multi-User Pose Estimation in the Wild
Paper demo · ACM MobiSys 2026
Human Activity Recognition and Pose Estimation Based on High-Quality mmWave Point Clouds
SDP Sensing Challenge 1st Place @ MobiCom 2025
Multi-person mmWave Radar Human Point Cloud Demo
SDP Sensing Challenge 1st Place @ MobiCom 2025