Kyunghwan Choi is an Assistant Professor at the Cho Chun Shik Graduate School of Mobility at the KAIST and Director of the Mobility Intelligence and Control Laboratory (MIC Lab).

His research focuses on optimal and learning-based control for connected, automated, and electrified vehicles (CAEVs).

He received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from KAIST. He held positions at KAIST and GIST before rejoining KAIST in 2025 as an Assistant Professor.

Ahmad Mouri Zadeh Khaki is a Post-doctoral Researcher at the Cho Chun Shik Graduate School of Mobility at the KAIST. He received his Ph.D. degree in Electrical Engineering - Electronics from Islamic Azad University (IAU), Iran, in 2020. He is currently working on LLM-based Multi-agent Systems and FPGA acceleration of deep learning algorithms for Robots and Autonomous Vehicles applications.

His research interests include Embedded Systems, Deep Learning, and Multi-agent Systems.

Geunyoung Park is a Post-doctoral Researcher at the Cho Chun Shik Graduate School of Mobility at the KAIST. He received his Ph.D. degree from the Cho Chun Shik Graduate School of Mobility at KAIST in 2026. He is currently working on optimal energy and thermal management of electrified vehicles.

His research interests include optimal control, predictive energy management, vehicle thermal management systems, and data-driven modeling and control.

Seunghun Jang received his B.S. degree in the Department of Bio-Industrial Machinery Engineering from Pusan National University in 2021. He joined the MIC Lab in 2022 and went on to obtain the M.S. degree in the Department of Mechanical Engineering from Gwangju Institute of Science and Technology (GIST) in 2024. He is currently pursuing a Ph.D at the Cho Chun Shik Graduate School of Mobility at the KAIST, where he continues his research in the MIC Lab.

His current research interests include state estimation of Synchronous Machines (SMs), physics-informed online learning of SMs, optimal control of electric drives.

Myeongseok Ryu received a B.S. degree in Department of Mechanical Engineering from Incheon National University, South Korea, in 2023, and a M.S. degree in Department of Mechanical Engineering from Gwangju Institute of Science and Technology (GIST), South Korea, in 2025. He is currently pursuing a Ph.D. degree at the Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea, and is a member of the MIC Lab.

His research interests include neuro-adaptive control, contraction theory, and online optimization.

Selected researches are as follows: Constrained Optimization-Based Neuro-Adaptive Control (CONAC), see [1], [2], [3], and Contraction Theory-Based Control, see [4], [5].

As a target application, he focuses on the control of Vehicle Motion Systems, specifically All-Wheel Steering (AWS) Vehicles.

Hyochan Lee received the B.S. and M.S. degrees in the Department of Creative Convergence Engineering from Hanbat National University, Daejeon, South Korea, in 2023 and 2024, respectively. He is currently pursuing the Ph.D. degree in the Cho Chun Shik Graduate School of Mobility at the KAIST, Daejeon, South Korea.

His current research interests include intelligent control of mobility systems using reinforcement learning and deep learning, tracking control of electromechanical systems, and the development of advanced control theories such as nonlinear adaptive control, optimal control, and learning-based control.

Changeun Park received his B.S. degree in the Department of Mechanical and Robotics Engineering from the Gwangju Institute of Science and Technology (GIST) in 2026. He served as a researcher at the Mobility Intelligence and Control Laboratory (MIC Lab) at KAIST from December 2024 to August 2026.

He is currently pursuing an integrated M.S./Ph.D. degree at the Cho Chun Shik Graduate School of Mobility at KAIST, where he continues his research in the Mobility Intelligence and Control Laboratory (MIC Lab).

His current research interests include optimal control, particularly model predictive control (MPC).

Soobin Hwang received her B.S. degree in Mechanical Systems Engineering from Sookmyung Women’s University, South Korea, in 2026. She is currently pursuing an Integrated M.S./Ph.D. degree at the Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea, and is a member of the MIC Lab.

Her research interests include Vehicle dynamics control.

Minsoh Kim received a B.S. degree in Electrical Engineering from Hanyang University, South Korea, in 2026. She is currently pursuing an Integrated M.S./Ph.D. degree at the Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea, and is a member of the MIC Lab.

Her research interests include optimal control and learning-based control.

Naol Samuel Erega received the B.S. degree in Aerospace Engineering and Electrical Engineering from the Korea Advanced Institute of Science & Technology(KAIST), Daejeon, South Korea, in 2026. He is currently pursuing the M.S. degree at the Cho Chun Shik Graduate School of Mobility, KAIST.

His research interests include neural network-based control, system estimations, and unmanned ground vehicle(UGV) dynamics.

Yejin Jang received a B.S. degree in Department of Mechanical System Engineering from Sookmyung Women’s University, South Korea, in 2026. She is currently pursuing a M.S. degree at the Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea, and is a member of the MIC Lab.

Her research interests include Vehicle Dynamics control.

Donghwa Hong is a Researcher at the Cho Chun Shik Graduate School of Mobility, KAIST, and a member of the Mobility Intelligence and Control Laboratory (MIC Lab).

His research focuses on learning-based identification of uncertain dynamics and state and parameter estimation, with applications to vehicle and robotic systems.

He received his B.S. degree in Physics from Yonsei University (Wonju) in 2023 and his M.S. degree in Mechanical and Robotics Engineering from the Gwangju Institute of Science and Technology (GIST) in 2026.

Jiyun Kim received her B.S. degree in Robot Engineering from Keimyung University, South Korea, in 2024, and her M.S. degree in Artificial Intelligence from the Gwangju Institute of Science and Technology (GIST), South Korea. She is currently conducting research at the Korea Advanced Institute of Science and Technology (KAIST).

Her research interests include learning-based motion planning, autonomous driving, and intelligent robotic systems. She focuses on developing reliable and robust decision-making methods based on imitation learning, vision-language models and vision-language-action models (VLMs/VLAs), and robot foundation models. Her long-term goal is to build safer and more human-centered autonomous systems that can operate effectively in complex real-world environments.

Teodor Penchev is currently pursuing a B.S. degree in Mechanical Engineering, with a double major in Business and Technology Management, at the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. He is an undergraduate research intern at the MIC Lab in the Cho Chun Shik Graduate School of Mobility, KAIST.

His research interests include reinforcement learning, model-based reinforcement learning, and hierarchical control frameworks for robotic systems.

Habeebullah Adeleke is an undergraduate student in the Department of Mechanical Engineering at KAIST, Daejeon, South Korea, and has been a member of the MIC Lab since 2026.

His current research focuses on reinforcement learning-based control for humanoid robots, with broader interests in robotics, robot learning, control systems, embedded systems, and mechatronics.

He is passionate about developing intelligent robotic systems capable of solving real-world challenges through the integration of mechanical design, artificial intelligence, and autonomous control.