Welcome to Flow Dynamics & Control Lab at HKUST (gz), led by Dr. Huan Yu! Our lab is located at the Hong Kong University of Science and Technology (Guangzhou), Nansha, China. We are broadly interested in a wide range of topics related to control theory, machine learning, traffic flow modeling, and connected automated vehicles. Our main focus is to find safe, stable and robust solutions that combine control theory and data-driven methods to advance the boundaries of mobility systems.

Huan Yu 鱼欢

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Email: huanyu@ust.hk
Assistant Professor, Intelligent Transportation Thrust, Systems Hub
The Hong Kong University of Science and Technology (Guangzhou)
Affiliated Assistant Professor, Department of Civil and Environmental Engineering
The Hong Kong University of Science and Technology

• Aug. 2023: Our work “Hybrid traffic safety-critical control based on connected automated vehicles” is presented at CTS.
• Aug. 2023: Our paper “Safety-critical traffic control by connected automated vehicles” is published in Transportation Research Part C: Emerging Technologies.
• July 2023: Yu gave a presentation at Tianjian University “Mixed Autonomy Traffic Flow Modeling and Control”.
• July 2023: Our paper “Safety-Critical Traffic Control for Mixed Autonomy Systems with Input Delay and Disturbances” is accepted by IEEE CDC 2023.
• July 2023: Yu will chair the invited session “Connected Automated Traffic Systems” in IEEE CDC 2023.
• July, 2023: We attend IFAC WC 2023 and present our work “Enforcing Safety for Mixed Traffic Control Via a Control Barrier Function Quadratic Program”.
• June 2023 Yu gave a presentation at Zhejiang University, Tongji University, Shanghai Jiao Tong University, Shandong University “Mixed Autonomy Traffic Model”.
• March 2023: Our paper “Enforcing Safety for Mixed Traffic Control Via a Control Barrier Function Quadratic Program” is accepted by IFAC WC 2023.
• Dec 2022: Dr. Yu organized an invited session on “Control and Estimation of Traffic Flow Systems ” at IEEE CDC 2023.
• July 2022: We have two papers accepted by IEEE ITSC 2022: “Integrating PDE Observer with Deep Learning for Traffic State Estimation”, and “Safety Critical Control of Mixed-autonomy Traffic via a Single Autonomous Vehicle”.
• July 2022: We have one paper accepted by IEEE Transactions on Control Systems Technology “Reinforcement Learning Versus PDE Backstepping and PI Control for Congested Freeway Traffic”.
• April 2022: Dr. Yu gave a presentation at AI Thrust, HKUST(GZ) “Control Meets Learning: PDE State Estimation of Phantom Traffic Jam”.
• November 2021: Dr. Yu gave a presentation at KTH Royal Institute of Technology “PDE Modeling, Control and Reinforcement Learning of Intelligent Traffic Flow System”.