「君子不器」 — Confucius (551 BC - 479 BC)
Dr. Chenhan Xu is an Assistant Professor of Department of Computer Science in the North Carolina State University. His research focuses on the convergence of Internet of Things (IoT), Physiological Science, and Smart Health. Chenhan is the receipient of Best Student Paper Award at ICHI 2022, Best Paper Award at MobiSys 2020, Best Paper Award at SenSys 2019, Best Paper Award at ICC 2019, Best Paper Award at GlobeCom 2016, and Best Paper Nominee at ACM SenSys 2022.
Chenhan and his group explore advanced embedded sensing and computing systems to enable high-impact real-world IoT applications. The research involves pioneering advancements in sensing and computing system paradigm, data analytics, signal processing, algorithm, and hardware innovations for Internet of Human-Centric Things by
Chenhan completed the NIH mHealth Training Institute (mHTI) at UCLA.
(2024/08)One poster is accepted by IPSN'24.
(2024/03)One paper is accepted by ICC'24.
(2024/02)Chenhan served as Program Committee Member of ICCCN'24.
(2024/02)Chenhan served as Program Committee Member of BSN'23.
(2023/09)Chenhan served as Program Committee Member of IPCCC'23.
(2023/08)Chenhan joined Computer Science Department at North Carolina State University.
(2023/08)Chenhan received the SEAS Dean’s Graduate Achievement Award.
(2023/07)Chenhan Xu, Bing Zhou, Gurunandan Krishnan, Shree Nayar, “AO-Finger: Hands-free Fine-grained Finger Gesture Recognition via Acoustic-Optic Sensor Fusing”, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI'23), Hamburg, Germany, Apr. 2023. ( Acceptace rate: 28.39%, 880 out of 3182 ) PDF
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. ( Acceptance Rate: 24.8%, 52 out of 209 , Best Paper Award Candidate, 7 out of 209 ) 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 ) 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/IMWUT'21), Volume 5, Issue 3, Sept. 2021, Pages 1 - 26. ( R1 Initial Acceptance Rate in May: 2.14%, 3 out of 140, overall AR: 25% ) 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”, ACM Conference on Embedded Networked Sensor Systems (SenSys'20), Yokohama, Japan, Nov. 2020. ( Acceptance Rate: 20.6%, 44 out of 213 ) 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”, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'19), Seoul, South Korea, June 2019. ( Acceptance Rate: 23.2%, 40 out of 172 ) PDF