Zejiang Wang
zejiang.wang@utdallas.edu
Phone:+1 (972) 883-5144
Mail Box:
Office: ECSW 3.355H
800 West Campbell Rd.
Mailstop:
Richardson, TX 75080-3021
ASSISTANT PROFESSOR
Education
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
Research Interests:
Dynamic Systems Modeling, Estimation, Control, and Optimization with applications on
- Automation Driving
- Advanced Driving Assistance Systems
- Intelligent Transportation Systems
Five Most Recent Journal Publications, Book Chapters, and Books
- Zejiang Wang, 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, doi: 10.1016/j.conengprac.2023.105576.
- Zejiang Wang, Xingyu Zhou, and Junmin Wang, “Extremum-seeking-based adaptive model-free control with application to automated vehicle trajectory following”, IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3146727.
- Zejiang Wang, Xingyu Zhou, and Junmin Wang, “An algebraic evaluation framework for a class of car-following models”, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3113788
- Zejiang Wang, Adrian Cosio, and Junmin Wang, “Implementation resource allocation for collision-avoidance assistance systems considering driver capabilities”, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3117918.
- Zejiang Wang and Junmin Wang, “Ultra-local model predictive control: A model-free approach and its application on automated vehicle trajectory tracking”, Control Engineering Practice, doi: 10.1016/j.conengprac.2020.104482.
Major Honors and Awards
- CPS 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