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Zejiang Wang

Assistant Professor - Mechanical Engineering

Dynamic Systems Modeling, Estimation, Control, and Optimization with applications on Autonomous Driving, Advanced Driving Assistance Systems, and Intelligent Transportation Systems.

 
+1 (972) 883-5144
ECW3.355H
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Currently accepting students

Professional Preparation

PhD - Mechanical Engineering
The University of Texas at Austin - 2022
MS - Cyber-Physical Systems
École Polytechnique, University of Paris-Saclay - 2017
Dip. Ing
ENSTA Paris – Institut Polytechnique de Paris - 2017
BE - Mechanical Engineering
Southeast University - 2014

Research Areas

Resource Aware Connected Automated Vehicles
Make autonomous vehicles safer and smarter while using less power
Human-Centric Driving Support Systems
Make driver-assist features adapt to individual’s unique driving style
Cooperative Driving Automation
Increase traffic safety & efficiency via V2X communication
Rural Mobility
Support rural Texas via modern mobility solutions, e.g., CAVs.

Publications

Human-Machine Shared Control for Path Following Considering Driver Fatigue Characteristics 2024 - Journal Article
A Vision-based Robust <italic>H</italic><sub>&#x221E;</sub> Gain Scheduling Longitudinal and Lateral Following Controller for Autonomous Vehicles on Urban Curved Roads 2024 - Journal Article
Managing Linux Servers with Llm-Based Ai Agents: An Empirical Evaluation with Gpt4 2024 - Other
Implications of stop-and-go traffic on training learning-based car-following control,☆ 2024 - Journal Article
Heavy-Duty Vehicle Air Drag Coefficient Estimation: From an Algebraic Perspective 2023 - Conference Paper
HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles 2023 - Conference Paper
Ground vehicle lane-keeping assistance system via differential flatness output feedback control and algebraic derivative estimation 2023 - Journal Article
Ground Vehicle Generalized Forces and Moment Governor Design Via Noncertainty-Equivalent Adaptive Prescribed Performance Control 2023 - Conference Paper

Awards

CPS Rising Stars - University of Virginia [2024]
IEEE ITSC Best Application Paper Award - IEEE Intelligent Transportation Systems Society [2024]
Supplemental Performance Award - Oak Ridge National Laboratory, [2023]
IEEE Intelligent Transportation Systems Society Best Dissertation Award - 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]