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.
News
Aug 5, 2025
[Publication] Our paper titled “Cumulative-time Signal Temporal Logic” has been selected as an Outstanding Paper for EMSOFT’25 and is now a candidate for the EMSOFT 2025 Best Paper Award.
Jul 12, 2025
[Publication] Our paper titled “Cumulative-time Signal Temporal Logic” is accepted to EMSOFT’25.
Jul 6, 2025
[Publication] Our paper titled “Myo-Trainer: A Vision-based Muscle-Aware Motion Feedback System for In-Home Resistance Training” is accepted to MobiCom’25. Acceptance rate is 36/348= 10.34%.
Jun 28, 2025
[Publication] Our paper titled “OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis” won the Best Paper Award at BigCom’25.[certificate]
Jun 27, 2025
[Grant] Our grant titled “AgeSense: A Knowledge-Enhanced Sensing System for Elderly Familial Emotion Monitoring and Exercise Feedback” is funded by Hong Kong RGC GRF. The funded amount is HKD 1,068,197 with earmarked item HKD 11,250 for undergraduate students.
Jun 24, 2025
[Poster] Our poster titled “Mobile Menstrual Health Advising with Multimodal Feature Engineering” is presented at Mobisys’25.
Jun 16, 2025
[Publication] Our paper titled “Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review” is published on npj Digital Medicine. [pdf]
May 13, 2025
[Patent] Our US patent titled “Apparatus, method and system for person detection and identification utilizing wireless signals and images” is granted.
May 6, 2025
[Publication] Our paper titled “SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer’s Patients” is accepted to SenSys’25.[pdf]
Apr 28, 2025
[Publication] Our paper titled “OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis” is accepted to BigCom’25.[pdf]
Mar 4, 2025
[Publication] Our paper titled “SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions” is accepted to IMWUT.[pdf]
Dec 4, 2024
[Poster] Our poster titled “Improving On-Device LLMs’ Sensory Understanding with Embedding Interpolations” is presented at MobiCom’25.[pdf]
Nov 21, 2024
[Publication] Our paper titled “DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge” is accepted to IMWUT.[pdf]
Nov 18, 2024
[Service] Serving as the Publicity Co-Chair and TPC member of SenSys’25.
[Publication] Our paper titled “SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches” is accepted to MASS’24 and nominated as a Best Paper Award Candidate. Acceptance rate = 27.4%. [pdf]
Jul 5, 2024
[Grant] Our grant titled “Foundation Models-Empowered Ambient Intelligence Systems for Early Diagnosis, Personalized Intervention, and Complex Cross-Disease Interplay Analysis of Aging-Related Degenerative Diseases” is funded by Hong Kong RGC STG. The funded amount is HKD 43.522 million.
[Grant] Our grant titled “CoCAV: Infrastructure-assisted Cooperative Control and Perception of Connected and Autonomous Vehicles” is funded by Hong Kong RGC GRF. The funded amount is HKD 1,038,967 with earmarked item HKD 11,250 for undergraduate students.
[Demo] Our demo titled “EmoMarker: A Privacy-Preserving, Multi-Modal Sensing System for Dyadic Digital Biomarkers of Expressed Emotions for Patients with Dementia” is presented to MobiSys’24.[pdf]
May 13, 2024
[Demo] Our demo titled “AD-CLIP: Privacy-Preserving, Low-Cost Synthetic Human Action Dataset for Alzheimer’s Patients via CLIP-based Models” is presented to IPSN’24 and won the Best Demo Award.[pdf][certificate]
May 13, 2024
[Publication] Our paper titled “Sensor2Scene: Foundation Model-Driven Interactive Realities” is accepted to FMSys’24.[pdf]
[Publication] Our paper titled “RFCam: Uncertainty-aware Fusion of Camera and Wi-Fi for Real-time Human Identification with Mobile Devices” is accepted to IMWUT.[pdf]
Dec 14, 2021
[Publication] Our paper titled “MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas” is accepted to CDC’21.[pdf]
Jul 10, 2019
[Publication] Our paper titled “Committed Moving Horizon Estimation for Meal Detection and Estimation in Type 1 Diabetes” is accepted to ACC’19.[pdf]
Jun 12, 2019
[Publication] Our paper titled “MagTrack: Enabling Safe Driving Monitoring with Wearable Magnetics” is accepted to MobiSys’19.[pdf]
Apr 23, 2019
[Publication] Our paper titled “Data-Driven Robust Control for a Closed-Loop Artificial Pancreas “ is accepted to TCBB.[pdf]