معرفی
Dr. Miroslav Kuchta is a Research Scientist at the Simula Research Laboratory, specializing in Scientific Machine Learning. He integrates classical numerical algorithms with modern machine learning tools, focusing on hybrid models that combine finite element methods (FEM) with neural networks (NN) to enforce physical constraints.
- Education:
- MSc in Mathematical Modeling, Charles University, Prague
- PhD in Applied Mathematics, University of Oslo
Research Interests:
His work centers on efficient numerical schemes for multiphysics problems, hybrid FEM-NN models, and their applications. He explores training strategies, stability, and approximation properties of hybrid models, bridging computational mathematics and machine learning.
Supervision:
He supervises computer science projects at Simula, including topics like "Stable representations in deep learning."
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