Jiawei Wang
Scholar

Jiawei Wang

Google Scholar ID: XXFHGDEAAAAJ
University of Michigan, Ann Arbor
ControlMachine LearningIntelligent TransportationConnected Automated Vehicles
Citations & Impact
All-time
Citations
1,631
 
H-index
18
 
i10-index
22
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including a study on risk-adjustable driving environment accepted by ITSC 2025; preprints on generative behavior simulation and robust data-driven predictive control; a paper accepted by IEEE T-ITS; another paper accepted by TR Part C; awarded the Beijing 2024 Outstanding Doctoral Dissertation Award; received the Distinguished Doctoral Dissertation Award from China SAE.
Research Experience
  • Currently a Lecturer in the CEE Department and a Postdoctoral Research Fellow in the Mobility Transformation Lab at the University of Michigan. Involved in the Smart Intersection Project, specifically the Green Wave Speed Advisory system demonstration in Mcity.
Education
  • Received Ph.D. degree in Mechanical Engineering from Tsinghua University in 2023, advised by Prof. Keqiang Li; Bachelor's Degree in Automotive Engineering from Tsinghua University in 2018. Visiting PhD student at EPFL's Automatic Control Laboratory from Dec 2022 to Dec 2023, advised by Prof. Colin Jones. Also received guidance from Prof. Yang Zheng at UC San Diego during doctoral research.
Background
  • Currently a Lecturer in the Department of Civil and Environmental Engineering at the University of Michigan, Ann Arbor, and a Postdoctoral Research Fellow in the Mobility Transformation Lab. Research interests lie at the intersection of learning, optimization, control, and simulation for urban mobility systems, with a particular emphasis on Connected and Automated Vehicles (CAVs). Aiming to advance CAVs' safety through high-fidelity simulation and advanced testing driven by Generative AI, while also pursuing reliable and scalable data-driven control strategies for sustainable transportation and broader societal benefits.
Miscellany
  • Personal interests and hobbies not mentioned.