Stephan Schmidt

Stephan Schmidt is a Senior Lecturer in the Department of Mathematics at the University of Trier. His academic career includes teaching and research roles at Humboldt University of Berlin, University of Paderborn, University of Würzburg, TU Darmstadt, and Imperial College London, with a focus on courses like Shape Optimization and Computational Geometry, Numerical Mathematics, and Ordinary Differential Equations.

His research spans Shape Optimization, Non-smooth Optimization, and Medical Imaging. He develops advanced mathematical techniques for PDE-based inverse problems, 3D regularization, and High-Performance Computing, often applied to fluid dynamics, electromagnetic scattering, and tomography.

Recent publications highlight work on Total Generalized Variation for mesh denoising, Medical Image Registration using hyperbolic PDEs, and Non-smooth Shape Calculus. These papers integrate Finite Element Methods, Discontinuous Galerkin Discretization, and Shape Newton Schemes, reflecting his interest in geometric control and computational efficiency.

He has collaborated with institutions like the University of Würzburg (Habilitation, 2018) and Trier University (PhD, 2010), and worked with researchers including Roland Herzog, Andrea Walther, and Viktor Schulz. His projects often address Geometric Inverse Problems, Sparse Neural Networks, and Aerodynamic Design.