Chenhan Xu
Ph.D. Candidate
Department of Computer Science & Engineering, University at Buffalo
340 Davis Hall, Buffalo, NY 14260
Email: chenhanx (AT) buffalo (DOT) edu
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 include Cyber-Physical Systems (MobiSys ‘19, SenSys ‘20, MobiCom ‘20) and Mobile Smart Health (UbiComp ‘19, MobiSys’ 20, UbiComp ‘21).
Chenhan will be joining Snap Research NYC in the summer of 2022 as a Research Intern on HCI research.
Our paper “CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing” is accepted by UbiComp ‘21
Chenhan passed Ph.D. qualifying exam
Our paper “VocalPrint: exploring a resilient and secure voice authentication via mmWave biometric interrogation” is accepted by SenSys ‘20
Our paper “Sonicprint: a generally adoptable and secure fingerprint biometrics in smart devices” received the Best Paper Award from the 2020 ACM MobiSys.
Chenhan Xu, Huining Li, Zhengxiong Li, Hanbin Zhang, Aditya Singh Rathore, Xingyu Chen, Kun Wang, Ming-chun Huang, Wenyao Xu, “CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp ‘21), Virtual Conference, Sept 2021. [PDF]
Huining Li, Chenhan Xu, Aditya Singh Rathore, Zhengxiong Li, Hanbin Zhang, Chen Song, Kun Wang, Lu Su, Feng Lin, Kui Ren, Wenyao Xu, “VocalPrint: exploring a resilient and secure voice authentication via mmWave biometric interrogation”, Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys ‘20), Yokohama, Japan, November 2020. [PDF]
Chenhan Xu, Zhengxiong Li, Hanbin Zhang, Aditya Singh Rathore, Huining Li, Chen Song, Kun Wang, Wenyao Xu, “WaveEar: Exploring a MmWave-Based Noise-Resistant Speech Sensing for Voice-User Interface”, Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys ‘19), Seoul, Republic of Korea, June 2019. [PDF]