Doctoral researcher at the Max Planck Institute for Dynamics of Complex Technical Systems
Research fellow of the MathCoRe (Mathematical Complexity Reduction) research training group at the Otto-von-Guericke University Magdeburg
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Doctoral Researcher, Max Planck Institute for Dynamics of Complex Technical Systems, Germany (11.2021 - Present)
Research Fellow, MathCoRe (Mathematical Complexity Reduction) Research Training Group, OVGU, Germany (11.2021 - Present)
Research Assistant / Student Research Assistant, University of Hildesheim, Germany (08.2019 - 09.2021)
Associate Research Engineer, Kumho Tire, South Korea (01.2015 - 05.2017)
Research / Teaching Assistant, Korea University, South Korea (09.2013 - 02.2015)
Ph.D. Candidate, Department of Mathematics, Otto-von-Guericke University Magdeburg (OVGU), Germany (Expected 2025)
M.Sc., Department of Computer Science, University of Hildesheim, Germany (2021)
M.Sc., Department of Mathematics, Korea University, South Korea (2015)
B.Sc., Department of Mathematics, Hankuk University of Foreign Studies, South Korea (2011)
Heiland, J.; Kim, Y.; Werner, S.W.R. (2025) Deep Polytopic Autoencoders for Low-dimensional Linear Parameter-varying Approximations and Nonlinear Feedback Design, under review
Heiland, J.; Kim, Y. (2025) Polytopic Autoencoders with Smooth Clustering for Reduced-order Modeling of Flows, Journal of Computational Physics, Vol.521, pp.113526
Kim, Y.; Im, C.; Mandl, T. (2024) Object Detection in Historical Images: Transfer Learning and Pseudo Labelling, ACM Journal on Computing and Cultural Heritage
Heiland, J.; Kim, Y. (2024) Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Flow Equations, Computers & Mathematics with Applications, Vol.175, pp.49-61
Kim, Y.; Choi, Y. (2022) Learning Finite Difference Methods for Reaction-Diffusion Type Equations with FCNN, Computers & Mathematics with Applications, Vol.123, pp.115-122
Im, C.; Kim, Y.; Mandl, T. (2022) Deep Learning for Historical books: Classification of Printing Technology for Digitized Images, Multimedia Tools and Applications, Vol.81, pp.5867-5888
Kim, Y.; Ryu, G.; Choi, Y. (2021) Fast and Accurate Numerical Solution of Allen-Cahn Equation, Mathematical Problems in Engineering, Vol.2021, Article ID 5263989
Kim, Y.; Heiland, J.; Benner, P. (2025) Physics-preserving Reduced-order Modeling, 95th GAMM Annual Meeting, Poznan, Poland
Kim, Y.; Heiland, J.; Werner, S.W.R. (2025) Nonlinear Feedback Control Design Using Polytopic Autoencoders in Approximative LPV Embeddings, SIAM Conference on CSE 25, Fort Worth, USA
Heiland, J.; Kim, Y. (2024) Polytopic Autoencoders for Very Low-dimensional Parametrizations of Fluid Flow Models, 94th GAMM Annual Meeting, Magdeburg, Germany
Heiland, J.; Kim, Y. (2023) Autoencoders and POD for Very Low-dimensional Nonlinear Controller Models, SIAM Conference on CSE 23, Amsterdam, Netherlands
Heiland, J.; Kim, Y. (2022) Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows, Proc. of the 25th International Symposium on MTNS, IFAC-PapersOnLine, Vol.55, pp.430-435, Bayreuth, Germany
Kim, Y.; Mandl, T.; Im, C.; Schmidele, S.; Helm, W. (2021) Applying Computer Vision Systems to Historical Book Illustrations: Challenges and First Results, Post-Proc. of the 5th Conference DHN, Vol.2865, pp.255-260, Liga, Latvia
Kim, Y.; Lukashonak, H.; Tarepakdee, P.; Zavalich, K.; Arif, M. Ul Islam (2020) Disturbing Target Values for Neural Network Regularization, SRP Conference 2020, Hildesheim, Germany
Reviewer, Engineering with Computers, Springer (2023)
Last updated 07.2025