Shueng-Han Gary Chan (陳雙幸)
Smart IoT and Sensing Systems Group

Professor, Department of Computer Science and Engineering HKUST
Affiliate Professor, Innovation, Policy, and Entrepreneurship (IPE) Thrust, Society Hub, HKUST(GZ)

Office: Room 2539 (via Lift 25-26)
Academic Building, The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon
Hong Kong
Tel: +852 2358-6990
Fax: +852 2358-1477

Elected Fellow of Sigma Xi (FSX), The Scientific Research Honor Society with 200+ members having received Nobel Prize (for contributions to enterprises through research)
Elected Chartered Fellow (FCILT) of Chartered Institute of Logistics and Transport
World's Top 2% Scientists (published by Stanford University), 2023, 2022, 2021, 2020
Chief Executive's Commendation for Community Service (for "outstanding contribution to the fight against COVID-19"), 23rd Honours List, Hong Kong, 2020 (video, 07:10-07:28)
Board Director, Hong Kong Logistics and Supply Chain MultiTech R&D Center (
LSCM), Hong Kong

PhD, Electrical Engineering, Stanford University, January 1999
PhD minor: Business Administration (Management of operations, information and technology)
MSE, Electrical Engineering, Stanford University, June 1994 (William and Leila Fellow, 1993-94)
BSE (Highest Honors), Electrical Engineering, Princeton University, June 1993 (Charles Ira Young Memorial Tablet and Medal, and the POEM Newport Award of Excellence)
Certificates (Minors) in Engineering Physics, Applied and Computational Mathematics, and Engineering and Management Systems (currently Optimization and Quantitative Decision Science), Princeton University, June 1993
Elected into Sigma Xi, Tau Beta Pi, and Phi Beta Kappa, Princeton University, 1993  

My weekly regular schedule

Research Interests

Smart sensing and IoT, cloud and edge AI, location AI and mobile computing, video/user/data analytics, system innovations, technology transfer and IT entrepreneurship

Full biography in text

I research and develop innovative smart IoT systems to advance our living and society. Through applied research on machine learning and data analytics, we seek to overcome critical operational challenges in industry to support cost-effective large-scale multimedia and mobile services. In contrast to theoretical or fundamental research, my team has been collaborating closly with companies to bridge the "last mile" divide between laboratory and marketplace. We apply rigorous algorithmic, computational and optimization techniques to relentlessly close theory-practice gaps so that our systems can operate under the most general realistic environment. Beyond proof-of-concept prototypes or demonstrations, and through technology transfer and entrepreneurship, our systems can be readily and fully integrated into industrial systems with unmatched performance. I keep a strong team of researchers (postdocs, PhD and MPhil candidates) and engineering staff, whose work closely knit together so that our research drives engineering systems while deployment challenges drive our research agenda. Our work has been extensively supported by leading companies such as Boeing, China Mobile, Cisco, Google, HP, Huawei, Mei Ah Entertainment, Microsoft, New World Development, Sun Hung Kei Properties, TCL, Tencent, UMP, etc.

Widely known for their practical impacts and deployment success in industry, my systems have won many awards. The following lists some of my system projects which have been under commercial trials or transferred to industry with users (mostly supported by industry-government collaboration program through Hong Kong Innovation and Technology Fund (ITF) and LSCM Center):

  1. AI + Healthcare (HealthTech/MedTech/Medical AI)
  2. IoT Wireless Sensing
  3. Indoor Localization and Mobile Computing
  4. Multi-hop Mesh WiFi for Pervasive High-throughput Access
  5. Streamphony: A Novel Cost-Effective Video Streaming Cloud over The Global Internet

Courses I Teach

Academic Calendar

Research and Labs

Professional Activities

Some Links I Visit