Biography

Jongeun Choi received his B.S. degree in Mechanical Design and Production Engineering from Yonsei University, Seoul, Republic of Korea, in 1998, and his M.S. and Ph.D. degrees in Mechanical Engineering from the University of California, Berkeley, in 2002 and 2006, respectively. He is currently a Professor at the School of Mechanical Engineering, Yonsei University, where he has also been affiliated with the Department of Artificial Intelligence since 2020. In 2023, he served as a visiting scholar at UC Berkeley. From 2019 to 2023, he served as the Chairperson of the Department of Vehicle Convergence Engineering, Yonsei University, funded by Hyundai Motor Company. He is also affiliated with the Department of Mobility Systems Engineering, funded by Hyundai Motor Company from 2023. Before joining Yonsei University, Dr. Choi was a faculty member at Michigan State University, where he worked as an Assistant Professor (2006–2012) and later as an Associate Professor (2012–2016) in the Departments of Mechanical Engineering and Electrical and Computer Engineering.

His research interests include machine learning, systems and control, symmetry-aware learning, deep reinforcement learning, and Bayesian methods, with applications to robotics, autonomous driving, human-robot interaction, and AI in healthcare. He has been serving as a Senior Editor for the International Journal of Control, Automation, and Systems since 2023 and previously served as an Associate Editor for the IEEE Robotics and Automation Letters in 2018, the Journal of Dynamic Systems, Measurement, and Control (2014–2019), and the International Journal of Precision Engineering and Manufacturing (2017–2018). Dr. Choi has received several awards, including the Best Paper Award at the RSS 2023 Workshop on Symmetries in Robot Learning and the 12th International Conference on Ubiquitous Robots and Ambient Intelligence in 2015. His papers were finalists for the Best Student Paper Award at the 24th American Control Conference in 2005 and the Dynamic Systems and Control Conference in 2011 and 2012. He was also a recipient of the NSF CAREER Award in 2009. Dr. Choi is an ASME Fellow and a member of IEEE.

Teaching

Yonsei University

• MEU5053 Machine Learning and Programming — Spring 2021, 2022, 2024, 2025
• MEU6505 Optimal Control and Reinforcement Learning — Fall 2020, 2021, 2022
• GSI7648 Deep Reinforcement Learning — Fall 2020
• GEV6117 Reinforcement Learning and Control — Spring 2020
• MEU3005 Mechanical Engineering Experiment II — Spring 2020, 2021, 2022
• MEU2105 Mechanical Engineering Experiment I — Spring 2019, Fall 2020, 2021, 2022
• MEU5047 Machine Learning Programming — Spring 2019, Fall 2019
• VCE6103 Introduction to Machine Learning — Fall 2020, 2021, 2022
• VCE6100 Introduction to Automotive Engineering — Spring 2019, 2020, 2021, 2022
• MEU3300 Creative Mechanical Engineering Design (2): Machine Learning, AI, and Control — Fall 2018
• MEU2101 Mathematics for Mechanical Engineers (Linear Algebra) — Spring 2018
• MEU2001 Junior Seminar: Introduction to Machine Learning and Control Systems — Fall 2017
• MEU4400 Independent Study — Spring 2017, 2018
• MEU6501 Analysis and Synthesis for Control and Intelligent Systems — Spring 2017, 2019
• MEU5045 Estimation Theory and Applications — Fall 2016, Spring 2018, 2020, 2021
• MEU3670 Mechanical Vibration — Fall 2016, 2017

Michigan State University

• ME/ECE 851 Linear Systems and Control — Fall 2010
• ME/ECE 859 Nonlinear Systems and Control — Spring 2008, 2010, 2014
• ME 451 Control Systems — Spring 2007, Fall 2008, Spring 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2013, Fall 2014, Spring 2016
• ME 451 Control Systems Lab — Fall 2012, Spring 2013, 2014–2015, Spring 2016
• ME 481 Capstone Design Project (faculty advisor) — Spring 2009

Lab

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