2011. 9 ~ 2019. 5, Ph.D. in Mathematics (minor in computer science), University of Wisconsin-Madison, USA
2008. 3 ~ 2011. 2, B.S. in Mathematics, POSTECH, Korea

2023.6. ~ current Assistant Professor, SeoulTech, Korea
2022.3. ~ 2023.5. Assistant Professor, Gachon University, Korea
2021.6. ~ 2022.2. BK21 postdoctoral Researcher, Seoul National University, Korea
2019.6. ~ 2021.5. Staff Engineer, Samsung Electronics, Korea
2013.12. ~ 2016.12. Researcher, National Institute of Mathematical Sciences (NIMS), Korea

Well-posedness for constrained Hamilton-Jacobi equations, Acta Applicandae Mathematicae, 2020

(with H. V. Tran, S. N.T. Tu) State-constraint static Hamilton-Jacobi equations in nested domains, SIAM Journal on Mathematical Analysis, 2020

(with I. Yang) On Representation Formulas for Optimal Control: A Lagrangian Perspective, IET Control Theory & Applications, 2022

(with I. Yang, K. Jun) Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs, Advances in Neural Information Processing Systems (NeurIPS), 2022

Well-posedness for constrained Hamilton-Jacobi equations, Acta Applicandae Mathematicae, 2020

On uniqueness for one-dimensional constrained Hamilton-Jacobi equation, Minimax Theory and its Applications, 2020

(with H. V. Tran, S. N.T. Tu) State-constraint static Hamilton-Jacobi equations in nested domains, SIAM Journal on Mathematical Analysis, 2020

(with J. Shin, A. Hakobyan, M. Park, G. Kim, I. Yang) Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments, IEEE Robotics and Automation Letters, 2022

(with I. Yang) On Representation Formulas for Optimal Control: A Lagrangian Perspective, IET Control Theory & Applications, 2022

(with I. Yang, K. Jun) Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs, Advances in Neural Information Processing Systems (NeurIPS), 2022

(with K. Kim, I. Yang) On concentration bounds for Bayesian identification of linear non-Gaussian systems, Proceedings of the 62th IEEE Conference on Decision and Control (CDC), 2023

(with K. Kim, I. Yang) Learning Linear-Quadratic Regulators via Thompson Sampling with Langevin Dynamics, preprint

(with D. Kwon, G. Montufar, I. Yang) Training Wasserstein GANs without gradient penalties, preprint

(with J. Jang) On a minimum eradication time for SIR model with time-dependent coefficients, preprint

(with J. Lee) Hamilton-Jacobi Based Policy-Iteration via DeepOnet, preprint

(with N. Cho) On the stability of Lipschitz continuous control problems and its application to reinforcement learning, preprint

선도센터(SRC), 참여연구원, 2023-2030
생애첫연구 (NRF), PI, 2023-2026