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Dr. Zihao 'Scott' Li (Transportation Engineering)ÌÇÐÄvlogÃÛÌÒ

Haggerty Hall 267

MilwaukeeWI53201United States of America414-288-1354zihao.li@marquette.edu

Curriculum Vitae

Assistant Professor, Civil, Construction and Environmental Engineering

Education

• Ph.D., 2024, Civil Engineering, Texas A&M University
• M.S., 2020, Engineering Physics, Tsinghua University, China
• B.S., 2017, Civil Engineering, Northeastern University, China

Research Interests

• Applied AI in Civil Infrastructure Systems
• Connected and Automated Transportation Systems
• Transportation Resilience
• Traffic Safety Analysis and Modeling
• Traffic Flow Theory

Publications

Li, Z., Lin, Q., Pu, F., Ahn, S., Zhang, Y., Jiang, J., & Zhou, Y. (2026) Unveiling Traffic Wave of Linear Adaptive Cruise Control: A Second-order Macroscopic Traffic Flow Model. Transportation Research Part B: Methodological, 211, 103506, 2026. Accepted at the 26th ISTTT.

Kuai, C., Li, Z.*, Zhang, Y.*, Wang, X. B., Lord, D., & Zhou, Y. (2026). U.S. Port Disruptions under Tropical Cyclones: Resilience Analysis by Harnessing Multiple-Source Dataset. Transportation Research Part D: Transport and Environment, 157, 105420.

Kuai, C., Wu, C., Zhou, Y., Wang, X., Yang, T., Tu, Z., Li, Z.*, & Zhang, Y*. (2026). CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation. Proceedings of the AAAI Conference on Artificial Intelligence. Oral presentation

Chen, N., Liu, L., Li, Z., Zeng, Z., Zhu, Z., Cong, W., Hong, J., Yang, Y., Tu, Z., Wang, Y., Ivanovic, B., Pavone, M., Wang, Z., Zhou, Y., & Fan, Z.* (2026). A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models. European Conference on Computer Vision (ECCV 2026), Spotlight Presentation.

Li, Z., Ma, C., Zhou, Y.*, Lord, D., & Zhang, Y. (2025). Leveraging Textual Description and Structured Data for Estimating Crash Risks of Traffic Violation: A Multimodal Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 26(7), 9201–9213.

Li, Z., Zhou, Y., Jiang, J., Zhang, Y.*, & Kulkarni, M. M. (2025). Adaptive Cruise Control under threat: A stochastic active safety analysis of sensing attacks in mixed traffic. Accident Analysis & Prevention, 209, 107813.

Li, Z., Zhou, Y.*, Zhang, Y., & Li, X. (2024). Enhancing Vehicular Platoon Stability in the Presence of Communication Cyberattacks: A Reliable Longitudinal Cooperative Control Strategy. Transportation Research Part C: Emerging Technologies, 163, 104660.

Li, Z., Zhou, Y.*, Chen, D., & Zhang, Y. (2024). Disturbances and safety analysis of linear adaptive cruise control for cut-in scenarios: A theoretical framework. Transportation Research Part C: Emerging Technologies, 104576.

Yue, X., Shi, H., Zhou, Y., & Li, Z. (2024). Hybrid car following control for CAVs: Integrating linear feedback and deep reinforcement learning to stabilize mixed traffic. Transportation Research Part C: Emerging Technologies, 167, 104773.

Honors and Awards

• Texas A&M University Dissertation Fellowship (2024)
• Texas A&M Transportation Institute (TTI) Keese-Wootan Fellowship (2022)
• ITS Texas Scholarship (2021)
• Zachry Department of Civil & Environmental Engineering Excellence Fellowship (2020)
• Tsinghua University Excellence Scholarship (2019)