CHEN Hongkai

*SHB = Ho Sin Hang Engineering Building, The Chinese University of Hong Kong

Research Interest
  • Internet-of-Things/Cyber-Physical Systems
  • Ubiquitous sensing systems
  • Smart health
  • Smart cities
  • Formal methods for system formulation and control
Courses Taught

  • IERG5230 Algorithms and Realization of Internet of Things Systems

CHEN Hongkai 陳鴻凱教授

Research Assistant Professor
MACM
BS (NJU), MS (WUSTL), PhD (Stony Brook)
(852) 3943-8353
Room 718, SHB*
hkchen [at] ie.cuhk.edu.hk
Website

Hongkai Chen is a Research Assistant Professor in the Department of Information Engineering at the Chinese University of Hong Kong. He earned his Ph.D. in Electrical Engineering from Stony Brook University. Prior to that, he received his B.S. degree from Nanjing University, China, and M.S. degree from Washington University in St. Louis, USA. Prof. Chen’s research interests lie in the intersection of AI for Health, Embedded AI, cyber-physical systems (CPS), Internet of Things (IoT), ubiquitous computing, wireless systems, and formal methods. His main objective is to design intelligent and reliable systems for applications in smart health and smart cities. Additionally, he is interested in computing theories, specifically in the areas of temporal logic and verification.

Prof. Chen has published on prestigious venues including MobiCom, MobiSys, SenSys, EMSOFT, HSCC, IMWUT, and npj Digital Medicine. He serves as a TPC member, and Publicity Co-chair, of SenSys 2025, Sponsorship Co-chair of CPS-IoT Week 2024, a Repeatability/Artifact Evaluation Committee member for several top-tier conferences, and a reviewer for more than 10 esteemed conferences and journals. Prof. Chen received several prestigious awards, including ACM SIGBED China 2023 Rising Star Award, 3 Best Paper Awards/nominations, and 3 Best Demo Awards/Runner-ups. He is a member of ACM and ACM SIGBED.

Recent / Selected Publications
  • Hongkai Chen, Zeyu Zhang, Shouvik Roy, Scott A. Smolka, Scott Stoller, Ezio Bartocci, and Shan Lin. Cumulative-time Signal Temporal Logic. In Proceedings of International Conference on Embedded Software (EMSOFT’25), Sep 2025.
  • Siyang Jiang, Bufang Yang, Lilin Xu, Yuan Mu, Yeerzhati Abudunuer, Kaiwei Liu, Liekang Zeng, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan, and Guoliang Xing. LLM-Driven Low-Resolution Vision System for On-Device Human Behavior Understanding. In Proceedings of the 2025 International Conference on Mobile Computing and Networking (MobiCom’25), Nov 2025. Acceptance rate: 36/348=10.3%
  • Wenhao Qi, Xiaohong Zhu, Bin Wang, Yankai Shi, Chaoqun Dong, Shiying Shen, Jiaqi Li, Kun Zhang, Yunfan He, Mengjiao Zhao, Shiyan Yao, Yongze Dong, Huajuan Shen, Junling Kang, Xiaodong Lu, Guowei Jiang, Lizzy M. M. Boots, Heming Fu, Li Pan, Hongkai Chen, Zhenyu Yan, Guoliang Xing, and Shihua Cao. Alzheimer’s Disease Digital Biomarkers Multidimensional Landscape and AI Model Scoping Review. npj Digital Medicine, Nov 2025.
  • Yuting He, Xinyan Wang, Yuan Mu, Bufang Yang, Siyang Jiang, Yihua Huang, Doris S.F. Yu, Guoliang Xing, and Hongkai Chen. Myo-Trainer: A Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training. In Proceedings of the 2025 International Conference on Mobile Computing and Networking (MobiCom’25), Nov 2025. Acceptance rate: 36/348=10.3%
  • Heming Fu, Hongkai Chen, Shan Lin, and Guoliang Xing. SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer’s Patients. In Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys’25), May 2025. Acceptance rate: 45/235=19.1%
  • Kushan Choksi, Hongkai Chen, Karan Joshi, Sukrutha Jade, Shahriar Nirjon, Shan Lin. SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches. In Proceedings of the 2024 IEEE 21th International Conference on Mobile Ad Hoc and Smart Systems (MASS) 2024. Best Paper candiate
  • Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan. DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024.
  • Hongkai Chen, Scott A. Smolka, Nicola Paoletti, and Shan Lin. An STL-based approach to resilient control for cyber-physical systems. In Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control (HSCC) 2023. Best Repeatability Evaluation Award
  • Hongkai Chen, Shan Lin, Scott A. Smolka, and Nicola Paoletti. An STL-based formulation of resilience in cyber-physical systems. In Proceedings of the 20th International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS), 2022. Best Paper Award
  • Hongkai Chen, Sirajum Munir, and Shan Lin. RFCam: Uncertainty-aware fusion of camera and Wi-Fi for human identification with mobile devices. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022.
  • Hua Huang, Hongkai Chen, and Shan Lin. MagTrack: Enabling safe driving monitoring with wearable magnetics. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019.
Research Interest

  • Internet-of-Things/Cyber-Physical Systems
  • Ubiquitous sensing systems
  • Smart health
  • Smart cities
  • Formal methods for system formulation and control
Courses Taught

  • IERG5230 Algorithms and Realization of Internet of Things Systems