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Zhaojian Li

Zhaojian Li

Zhaojian Li

Assistant 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, Milforrd 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.

Research Area
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
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.
Z. Li, T. Chu, I. Kolmanovsky and X. Yin. “Training drift counteraction optimal control policies using reinforcement learning: An adaptive cruise control example,” IEEE Transactions on Intelligent Transportation Systems, to appear in 2018, DOI:10.1109/TITS.2017.2767083.
Z. Li, T. Chu, I. Kolmanovsky, X. Yin, and X.-Y. Yin, “Cloud Resource Allocation for Cloud-Based Automotive Applications,” Mechatronics, 50: 256-365, 2017.