Our lab is located at the Hong Kong University of Science and Technology(Guangzhou), Nansha, China. Our research lies 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 urban 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

• Feb 2022: Our paper on “Enforcing Safety for Mixed Traffic Control via a Control Barrier Function Quadratic Program” got accepted by IFAC World Congress 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”.