Yeoneung Kim
I'm an assistant professor at the Deparment of Applied Artificial Intelligence at Seoul National University of Science and Technology.
I obtained Ph.D in mathematics from University of Wisconsin-Madison under the supervision of Hung Vinh Tran (http://math.wisc.edu/~hung) and did my undergraduate at Pohang University of Science and Techonology(POSTECH).
My research interest lies in partial differential equations, optimal control and machine learning.
Contact
Address
Yeoneung Kim, Department of Applied Artificial Intelligence,
SeoulTech, Korea
yeoneung at seoultech.ac.kr
Research
(with T. Costa, J. Cummings, M. Jenkinson, J. Martinez, N. Olivares, A. Sezginer) Fast calculation of diffraction by photomasks, Univeristy of Minnesota. IMA, 2014
Constrained Hamilton-Jacobi equations and further applications via optimal control theory, Ph.D thesis, 2019
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 and S. N.T. Tu) State-constraint static Hamilton-Jacobi equations in nested domains, SIAM Journal on Mathematical Analysis, 2020
(with D. Kwon, G. Montufar, I. Yang) Training Wasserstein GANs without gradient penalties, submitted
(with K. Jun, I. Yang) Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs, Advances in Neural Information Processing Systems (NeurIPS), 2022
(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 K. Kim, I. Yang) Approximate Thompson sampling for learning linear quadratic regulators with O(\sqrt{T}) regret, submitted
(with I. Yang) On Representation Formulas for Optimal Control: A Lagrangian Perspective, IET Control Theory & Applications, 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 J. Jang) On a minimum eradication time for SIR model with time-dependent coefficients, submitted
(with N. Cho) On the stability of Lipschitz continuous control problems and its application to reinforcement learning, submitted
(with Y. Park, M. Kim) Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation, submitted
(with J. Lee) Hamilton–Jacobi Based Policy-Iteration via Deep Operator Learning, submitted
(with Y. Choi, K. Park) Data-driven design of metamaterials, preprint
Education
Ph.D. Mathematics with minor in computer science, 2011.9 - 2019.5 (military service 2013.12 - 2016.12)
(Advisor : Hung Vinh Tran)
University of Wisconsin-Madison, Madison, WI, USA
B.S. Mathematics, Summa Cum Laude, 2008.3 - 2011.2
POSTECH (Pohang University of Science and Technology), Pohang, Korea
Employment
Assistant Professor, Department of Applied Artificial Intelligence, SeoulTech (2023.6 - present)
Assistant Professor, Department of Financial Mathematics, Gachon University (2022.3 - 2023.5)
BK21 Post-Doc, Seoul National University (2021.6 - 2022.2)
Staff Engineer, Samsung Electronics (2019.5 - 2021. 5)
Researcher, National Institute for Mathematical Sciences (NIMS) (2013.12 - 2016. 12)