报告题目：Closing the Macro-Micro Loop: Control of Urban Mobility Systems
报告时间：2025年11月11号（星期二）上午10:00开始
报告地点：中南大学潇湘校区（新校区）信息楼216会议室
报告人：鱼欢（助理教授），香港科技大学（广州）.
报告简介：
Modern urban mobility systems show complex multi-scale dynamics, with macro traffic flow and micro vehicle behaviors interacting to affect congestion, efficiency, and safety. Emerging technologies (autonomous driving, wireless communication, AI) reshape urban mobility in infrastructure management and CAV design. This talk explores using control theory to bridge macro-micro loops for system optimization. It will start with infrastructure-based traffic control. Then, it will discuss how CAVs enable fine-grained micro-level sensing and control. Compared to human-driven vehicles, CAVs’ advanced perception/control stabilize traffic and ensure safety, focusing on safety-critical designs with control barrier functions for mixed-autonomy collision avoidance. The talk also highlights physics-informed and neural operator learning to merge theory and data-driven adaptability for next-generation mobility systems.
报告人简介：
Dr. Huan Yu is an Assistant Professor at the Hong Kong University of Science and Technology (Guangzhou), jointly appointed with the Intelligent Transportation and Robotics & Autonomous Systems Thrusts. She received the B.Sc. degree from Northwestern Polytechnical University, and the M.Sc./Ph.D. degrees in mechanical and aerospace engineering from the University of California (UC), San Diego, with visiting scholar stints at UC Berkeley and MIT. Her research integrates control theory, transportation science, and machine learning, with applications for urban mobility systems ranging from CAV and emerging low-altitude air transportation systems.
鱼欢博士，香港科技大学（广州）智能交通学域和机器人与自主系统学域联聘助理教授, 博士生导师。她博士毕业于加州大学圣地亚哥分校，机械与航空航天工程专业，曾分别在麻省理工学院土木及环境工程系和加州大学伯克利分校智能交通研究中心担任访问学者。鱼欢博士已在控制与交通领域的权威国际期刊和会议发表论文50余篇， 交通控制专著1本，单篇引用百余次。目前担任IFAC自适应与学习系统，IEEE控制系统智慧城市，分布式参数系统学术委员会成员，长期受邀参与Automatica, IEEE Transaction on Automatic Control, Transportation Research Part B/C 等权威期刊审稿工作。鱼博士主要从事控制理论、机器学习与交通科学领域的研究，聚焦城市交通系统的创新应用。她领导的"自主交通系统实验室"致力于攻克网联自动驾驶汽车、智能交通控制、人机协同控制及新兴低空交通等前沿课题。
