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

Professor Hongkai Chen 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. Currently, he serves as a Research Assistant Professor in the Department of Information Engineering at the Chinese University of Hong Kong.

Prof. Chen’s research interests lie in the intersection of cyber-physical systems (CPS), Internet of Things (IoT), ubiquitous computing, formal methods, AI, and control. His main objective is to design intelligent and reliable systems for smart health and smart city applications. Additionally, he is interested in theoretical CPS, specifically the resilience theory in CPS.

Prof. Chen has published on prestigious venues including MobiSys, HSCC, IMWUT, FORMATS, CDC, and MASS. Prof. Chen serves as the Industrial Liaison and Sponsorship Chair for CPS-IoT Week 2024 – the premier event in this domain. Currently, he is a TPC member for SenSys’25.

Prof. Chen received several prestigious awards, including ACM SIGBED China 2023 Rising Star Award, Best Paper Award (Oded Maler Award in Timed Systems) at FORMATS’22, Best Paper Award Candidate at MASS’24, Best Demo Awards at MobiSys’24 and IPSN’24, Best Demo Award Runner-up at SenSys’24, Best Repeatability Evaluation Award at HSCC’23, and Best Artifact Reviewer Award at MobiSys’23.

Recent / Selected Publications
  • 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.
  • Sirajum Munir, Hongkai Chen, Shiwei Fang, Mahathir Monjur, Shan Lin, and Shahriar Nirjon. CarFi: Rider localization using Wi-Fi CSI. In Proceedings of the 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS) 2023.
  • 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.
  • Hongkai Chen, Nicola Paoletti, Scott A. Smolka, and Shan Lin. MPC-guided imitation learning of Bayesian neural network policies for the artificial pancreas. In Proceedings of the 2021 IEEE Conference on Decision and Control (CDC), 2021.
  • 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