Chenhan Xu
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

[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].
News
[2022/10]

Our paper “Hearing Heartbeat from Voice: Towards Next Generation Voice-User Interfaces with Cardiac Sensing Function” is accepted by SenSys ‘22.

[2022/08]

Chenhan served as Shadow Program Committee of SenSys'22.

[2022/04]

Chenhan will be joining Snap Research NYC in the summer of 2022 as a Research Intern on HCI research.

[2021/07]

Our paper “CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing” is accepted by UbiComp ‘21

[2021/02]

Chenhan passed Ph.D. qualifying exam

Selected Publications

Chenhan Xu, Tianyu Chen, Huining Li, Alexander Gherardi, Michelle Weng, Zhengxiong Li, Wenyao Xu, “Hearing Heartbeat from Voice: Towards Next Generation Voice-User Interfaces with Cardiac Sensing Function”, ACM Conference on Embedded Networked Sensor Systems (SenSys ‘22), Boston, MA, Nov. 2022. [PDF]

Chenhan Xu, Huining Li, Zhengxiong Li, Xingyu Chen, Aditya Singh Rathore, Hanbin Zhang, Kun Wang, Wenyao Xu, “The Visual Accelerometer: A High-fidelity Optic-to-Inertial Transformation Framework for Wearable Health Computing”, IEEE International Conference on Health Informatics (ICHI ‘22), Rochester, MN, June 2022. (Best Student Paper Award, 2 out of 109, 1.8%) [PDF]

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]