Dawid Kotowski
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Research Focus
- Adaptive data-driven surrogate Modelling for Parametric Partial Differential Equations.
Academic Education
- M.Sc. Mathematics (minor: Physics), University of Münster, Münster. Master’s thesis: Deep Orthogonal Decomposition for surrogate modelling of time dependent PDEs.
- B.Sc. Mathematics (minor: Physics), University of Münster, Münster. Bachelor’s thesis: The Multilevel Robbins–Monro Algorithm and an Application for the Poisson Problem.
Research Articles in a Digital Collection
- Kotowski, Dawid, and Ohlberger, Mario. . “A New Adaptive Deep Learning based Reduced Order Model for Hybrid-Type Parabolic PDEs: Rigorous Error Analysis and Applications.” Preprint. arXiv doi: 10.48550/arXiv.2604.22512.