Zhaojian Li
Contact Information
Phone:
(517) 432-1821
Email:
lizhaoj1@msu.edu
Website:
Red Cedar Distinguished Associate Professor
Mechanical Engineering
Electrical and Computer Engineering
-
Associate Professor
Biography
From June 2010 to July 2012, I worked at Shanghai Area Control Center as an Air Traffic Controller (We guide you home!). In the summers of 2014 and 2015, I was an intern at Ford Research and Advanced Engineering, Dearborn MI. From January 2016 to August 2017, I worked at General Motors in the NextGen Powertrain Control group, Milford MI. Since August 2017, I have been an Assistant Professor in the Department of Mechanical Engineering at Michigan State University. My main research interests include Robotics and Autonomous Vehicles, Intelligent Transportation System, Reinforcement Learning, Vehicle Dynamics, and Optimal Control.
Education
- Ph.D., Aerospace Engineering, University of Michigan, Ann Arbor, 2015
- M.S., Aerospace Engineering, University of Michigan, Ann Arbor, 2013
- B.E., Civil Aviation, Nanjing University of Aeronautics and Astronautics, 2010
Research Interests
- Robotics and Autonomous Vehicles
- Intelligent Transportation Systems
- Reinforcement Learning
- Vehicle Dynamics
- Optimal Control
Selected Publications
- Z. Li, I. Kolmanovsky, U. Kalabic, E. Atkins, J. Lu and D. Filev. "Optimal state estimation for systems driven by Jump-Diffusion process with application to road anomaly detection," IEEE Transactions on Control System Technology, to appear in 2017.
- Z. Li, D. Filev, I. Kolmanovsky, E. Atkins and J. Lu, "A new clustering algorithm for processing GPS-based road anomaly reports with a Mahalanobis distance," IEEE Transactions on Intelligent Transportation Systems, to appear in 2017.
- Z. Li, I. Kolmanovsky, E. Atkins, J. Lu, D. Filev and Y. Bai, "Road disturbance estimation and cloud-aided comfort-based route planning," IEEE Transactions on Cybernetics, to appear in 2017.
- Z. Li, I. Kolmanovsky, E. Atkins, J. Lu, D. Filev and J. Michelini, "Road risk modeling and cloud-aided safety-based route planning," IEEE Transactions on Cybernetics, 46(11): 2473-2483, 2015.
- Z. Li, S. Bao, I. Kolmanovsky, and X. Yin. "Visual-manual distraction detection using driving performance indicators with naturalistic driving data," IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2017.2754467.
MSU Scholar
Google Scholar
Awards
- NSF Faculty Early Career Grant 2021
- $1.5 M NSF Grant, "SMART: Soft Multi-Arm Robot for Synergistic Collaboration with Humans" 2021
- $120K T-Mobile Grant for research on Learning-based automated device testing 2021
