معرفی
Henry Liu is a Joint Professor in Mechanical Engineering and Civil & Environmental Engineering at the University of Michigan's College of Engineering. His research focuses on the intersection of Transportation Engineering, Automotive Engineering, and Artificial Intelligence, with emphasis on cyber-physical transportation systems, autonomous vehicles, and traffic flow control. Key areas include connected and automated vehicle (CAV) testing, safety validation, and cooperative driving frameworks. He leads projects involving Mcity, a dedicated CAV testbed, and develops edge-cloud infrastructure for roadside perception systems.
Education:
- Ph.D. in Civil and Environmental Engineering, University of Wisconsin – Madison, 2000
- B.S. in Automotive Engineering, Tsinghua University, P.R.China, 1993
Research Interests: Prof. Liu's work spans traffic flow monitoring, CAV safety assessment, generative simulation for edge cases, and data-driven traffic control algorithms. He pioneers methods for anomaly detection in vehicle platoons, cybersecurity in traffic systems, and low-penetration-rate scenario optimization. His team creates tools like TeraSim (for unsafe event discovery) and LightEMMA (lightweight autonomous driving models).
Publications Trends (2023–2025): Recent work emphasizes safety validation (e.g., behavioral safety assessments), roadside perception systems, and low-adoption CAV scenarios. Over 30+ articles address cybersecurity, cooperative control, and simulation-driven testing methodologies. His lab has developed frameworks like DeepScenario for city-scale scenario generation and MSight for edge-cloud perception.
Awards & Grants: While no specific awards are listed, his research has been supported through initiatives like Mcity 2.0 development and federal grants for CAV infrastructure. He collaborates with the American Center for Mobility on testing environments.
Labs & Teams: Leads the Mcity Augmented Reality Testing Environment and co-develops the Mcity testbed. His group works on cybersecurity for traffic systems and participatory traffic control strategies involving connected vehicles.
