Research Experience

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)

Education

Ph.D. Candidate, Mathematics, Otto-von-Guericke University Magdeburg (OVGU), Germany (2025)

M.Sc., Data Analytics, University of Hildesheim, Germany (2021)

M.Sc., Applied Mathematics, Korea University, South Korea (2015)

B.Sc., Mathematics, Hankuk University of Foreign Studies, South Korea (2011)

Journal Papers

1. 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

2. Heiland, J.; Kim, Y. (2025) Polytopic Autoencoders with Smooth Clustering for Reduced-order Modeling of Flows, Journal of Computational Physics, Vol.521, pp.113526

3. Kim, Y.; Im, C.; Mandl, T. (2024) Object Detection in Historical Images: Transfer Learning and Pseudo Labelling, ACM Journal on Computing and Cultural Heritage

4. 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

5. 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

6. 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

7. 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

Conferences

1. Kim, Y.; Heiland, J.; Benner, P. (2025) Physics-preserving Reduced-order Modeling, 95th GAMM Annual Meeting, Poznan, Poland

2. 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

3. Heiland, J.; Kim, Y. (2024) Polytopic Autoencoders for Very Low-dimensional Parametrizations of Fluid Flow Models, Proc. in Applied Mathematics and Mechanics (94th GAMM Annual Meeting), Magdeburg, Germany

4. Heiland, J.; Kim, Y. (2023) Autoencoders and POD for Very Low-dimensional Nonlinear Controller Models, SIAM Conference on CSE 23, Amsterdam, Netherlands

5. 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

6. 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

7. 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

Service to the Profession

Reviewer, Engineering with Computers, Springer (2023)

Last updated 10.2025