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.

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 research is Constrained Optimization-Based Neuro-Adaptive Control (CONAC). Related publications include: [1], [2], [3].

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 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.

Donghwa Hong is currently pursuing an M.S. degree in Mechanical Engineering at the Gwangju Institute of Science and Technology (GIST), South Korea.

His research interests include robot control, neural networks, and model identification.

He received his B.S. degree in Physics from Yonsei University (Wonju) in 2023.

Jiyun Kim received the B.S. degree in Department of Robot Engineering from Keimyung Universitiy, South Korea, in 2024, and is currently pursuing an M.S. degree in Artificial Intelligence Graduate School from Gwangju Institute of Science and Technology (GIST), South Korea.

Her research interest is solving various mobility optimization problems by neural networks

Naol Samuel Erega is currently pursuing a bachelor degree in Department of Aerospace Engineering at KAIST.

His research interests include neural-networks based control