Shengbo Eben Li Headshot
Shengbo Eben Li
Associate Editor
Bio:
Shengbo Eben Li is an associate professor in Department of Automotive Engineering at Tsinghua University. He received the M.S. and Ph.D. degrees from Tsinghua University in 2006 and 2009. He worked at Stanford University in 2007, University of Michigan from 2009 to 2011, and University of California, Berkeley, in 2015. His active research interests include powertrain energy management, battery modeling and control, optimal and distributed control/estimation, connected and automated vehicles, driver behavior and assistance, etc. He is the author of about 110 journal/conference papers (including >50 Journal papers in English, and >20 in IEEE transactions), and the inventor of over 20 patents. Dr. Li was the recipient of the Distinguished Doctoral Dissertation of Tsinghua University (2009), Award for Science and Technology of China ITS Association (2012), Award for Technological Invention in Ministry of Education (2012), National Award for Technological Invention in China (2013), Honored Funding for Beijing Excellent Youth Researcher (2013), NSK Sino-Japan Outstanding Paper in Mechanical Engineering (2014/2015), Best Student Paper Award in 2014 IEEE Intelligent Transportation System Symposium (as student advisor), Top 10 Distinguished Project Award of NSF China (2014), Best Paper Award in 14th ITS Asia Pacific Forum (2015), Yangtze River?Excellent Young Professor (2016), Excellent Young Scholar of NSF China (2016), etc. He also served as the Associate editor of IEEE Intelligent Vehicle Symposium (2012/2013), Chairman of organization committee of China ADAS symposium (2013), Member of ISC of FASTzero?17 in Japan (2017), Chairman of Local Committee of AVEC 2018, CMES Senior Member, IEEE Senior Member, etc.
Research Interests
1. Battery modeling and state estimation for EV/HEV, configuration optimization and energy management of electrified powertrain 2. Optimal control and estimation, distributed control and filtering for ground vehicle and road traffic 3. Driver behavior analysis and driver assistance for better safety and fuel efficiency 4. Automated vehicle control, platoon control and cooperative road-vehicle control