Chenhan Xu
Department of Computer Science & Engineering, University at Buffalo
340 Davis Hall, Buffalo, NY 14260
Email: chenhanx (AT) buffalo (DOT) edu
[CV] [Google Scholar]
I am on the academic job market this year.
I’m currently a Ph.D. Candidate in the Department of Computer Science & Engineering, University at Buffalo working under the guidance of Prof. Wenyao Xu at the Embedded Sensing and Computing (ESC) Lab. Before that, I worked as an intern for blockchain researches in NUPT Center for Learning, Energy and Networks (NCLEN) for three years. I earned my B. Eng. degree in Network Engineering from NUPT.
My research interests fall on the intersection of Internet of Things, Cybersecurity, Physiological Science, and Smart Health. As a computer system researcher, I model, design, build, and evaluate end-to-end sensing and computing systems that aim for precise, broad-spectrum, intelligent, and secure human-computer interaction (HCI) and personalized healthcare within IoT context. My research ranges from theory to implementation, and has primarily focused on three aspects:
- Secure Precision Sensing in IoT: exploring new sensing technologies (mainly wireless) to precisely, securely, and robustly interrogate human physiological information, including noise-immune voice tone [MobiSys’19] and resilient voice biometrics [SenSys’20], fine-grained heart activities [UbiComp’21], anti-spoofing fingerprint [[NDSS’22]], and authentic body inertia [ICHI’22].
- Novel Human-IoT Interface: investigating new interfaces between human and IoT through broad-spectrum wireless modalities of human physiological activities (e.g., IoT-heart interface via voice [SenSys’22] and mmWave [UbiComp’21]).
- Pervasive and Privary-preserving Healthcare: exploring effortless, accurate, and secure health monitoring and disease prevention through IoT devices and facilities, including passive medication adherence management of Parkinson’s disease (PD) [UbiComp'19] and privacy-preserving early detection of PD [MobiCom’19].