I am recruiting PhD and MPhil for Fall 2022. I am looking for highly motivated students with a strong background in mathematics, control theory, traffic modeling and simulation, or machine learning. Students with interests in intelligent transportation, control systems and machine learning are highly encouraged to apply. Accepted students will be provided with highly-competitive financial support. Application instructions for PhD and MPhil program can be found here.
Participation can also occur at the undergraduate, postdoctoral, visiting researchers, and summer student interns.
Prospective students and researchers are welcome to get in touch. You are welcome to send me an email (email@example.com) with your CV, transcripts, and a brief overview of your research and why you are interested in my group. Before emailing me, you should familiarize yourself with my research, explain which research topic of mine genuinely attracts you, and articulate how our research interests match. Sometimes your email might get buried, please send another one after one-week wait.
Control and Learning Theory; Intelligent Transportation Applications
- Ph.D., Mechanical and Aerospace Engineering, University of California, San Diego, 2019
Advisor: Professor Miroslav Krstic; Thesis: Boundary Control of Traffic Congestion
- M.S., Mechanical and Aerospace Engineering, University of California, San Diego, 2015
- B.E., Aerospace Engineering (honor program), Northwestern Polytechnical University, 2013
INTR Thrust, Systems Hub
The Hong Kong University of Science and Technology (Guangzhou)
Affiliated Assistant Professor
Department of Civil and Environmental Engineering
The Hong Kong University of Science and Technology
Office: Room 1028, IAS,
HKUST, Clear Water Bay.