I-Ming Chen


1357 S. 46th Street
Building 452 (Room 106), Berkeley Global Campus
Richmond, CA 94804
United States
Email Address: 

Current Research

Dr. Chen's research interests include:

  • Intelligent Powertrain System (Deep reinforcement learning for vehicle powertrain control);
  • Machine Learning;
  • Hybrid Electric Powertrain for Vehicles.


Dr. Chen earned his Ph.D. in Mechanical Engineering from NationalTaiwanUniversity in 2016. During his Ph.D. program, he worked for an electric vehicle company in Taiwan as a development engineer. From 2016 to 2017, he worked as a postdoctoral researcher in NationalTaiwanUniversity. Currently, he is working as a visiting postdoctoral researcher in California PATH and is in charge of the BDD autonomous vehicle platforms.


  • Ph.D., Mechanical Engineering, NationalTaiwanUniversity, 2016

  • M.S., Mechanical Engineering, NationalTaiwanUniversity, 2009

  • B.S., Mechanical Engineering, National Taiwan University, 2007


  • Visiting Postdoctoral Research Fellow, California PATH, UC Berkeley. 2018

  • Postdoctoral Research Fellow, National Taiwan University, Taipei, Taiwan. 2016 - 2017
  • Development Engineer, Giant Lion Know-How Co., Ltd., Taipei, Taiwan. 2010 - 2016
  • Visiting Scholar, University of Michigan, Ann Arbor, USA. 2013 - 2014


  • I-Ming Chen, Yuan-Yao Huang, Tai-Her Yang, Tyng Liu. "Limited-Slip and Torque-Vectoring Effect of a Dual Continuously Variable Transmission." Proc. IMechE, Part D: Journal of Automobile Engineering, vol. 231, no. 3, pp. 372-382, February 1, 2017.
  • I-Ming Chen, Tai-Her Yang, Tyng Liu. "Function Power Graph - A Novel Methodology for Powertrain and Hybrid System Conceptual Design and Analysis." Proceedings of 2015 IFToMM World Congress, Taipei, Taiwan, October 25-30, 2015.
  • I-Ming Chen, Chiao-Ting Li, Huei Peng. "Power Split Hybrid Configurations for Human-Powered Vehicles." ASME 2014 Dynamic Systems and Control Conference, San Antonio, Texas, USA, October 22-24, 2014.
  • I-Ming Chen, Tyng Liu. "Design and Analysis of Hybrid Systems for Scooters." Chinese Journal of Mechanical Engineering, vol. 24, no. 5, pp. 752, 2011.