Zejiang Wang

zejiang.wang@utdallas.edu
Phone: +1 (972) 883-5144
Office: ECSW 3.355H
800 West Campbell Rd.
Mailstop: ECW31
Richardson, TX 75080-3021

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ASSISTANT PROFESSOR

PhD, Mechanical Engineering, The University of Texas at Austin, 2022

MS, Design, Modeling, and Architecture of Complex Industrial Systems, École Polytechnique, University of Paris-Saclay (Double Degree), 2017

Dip. Ing, ENSTA Paris – Institut Polytechnique de Paris, 2017

BE, Mechanical Engineering, Southeast University, Nanjing, China, 2014

Dynamic Systems Modeling, Estimation, Control, and Optimization with applications on

Wang, Zejiang, Xingyu Zhou, and Junmin Wang. “Cyber-Physical Systems for Human-Centric Automated Vehicles.” Smarter Cyber Physical Systems: Enabling Methodologies and Applications (2025): 273.
Wang, Zejiang, Anye Zhou, Adian Cook, Jianfei Chen, Guanhao Xu, and Yunli Shao. “Cooperative Merging via Online Speed Replanning: A Model-Free Approach With Vehicle-to-Vehicle Communication Packet Drop Compensation.” IEEE Transactions on Intelligent Transportation Systems (2025).
Wang, Zejiang, Guanhao Xu, Ruixiao Sun, Anye Zhou, Adian Cook, and Yuche Chen. “Online energy consumption forecast for battery electric buses using a learning-free algebraic method.” Scientific Reports 15, no. 1 (2025): 1931.
Zhou, Anye, Srinivas Peeta, Hao Zhou, Jorge Laval, Zejiang Wang, and Adian Cook. “Implications of stop-and-go traffic on training learning-based car-following control.” Transportation Research Part C: Emerging Technologies 168 (2024): 104578.
Wang, Zejiang, Xingyu Zhou, Adrian Cosio, and Junmin Wang. “Ground vehicle lane-keeping assistance system via differential flatness output feedback control and algebraic derivative estimation.” Control Engineering Practice 137 (2023): 105576.

U.S. Department of Energy Vehicle Technologies Office (VTO) Team Award, 2025
NSF Cyber-Physical Systems Rising Stars, University of Virginia, 2024
Supplemental Performance Award, Oak Ridge National Laboratory, 2023
IEEE Intelligent Transportation Systems Society Best Dissertation Award – First Prize, IEEE Intelligent Transportation Systems Society, 2022
MECC Automotive and Transportation Systems Best Paper Award, ASME Dynamic Systems and Control Division, 2022
George J. Heuer, Jr. Ph.D. Endowed Graduate Fellowship, The University of Texas at Austin, 2021
DSCC Automotive and Transportation Systems Best Paper Award, ASME Dynamic Systems and Control Division, 2020