Martin Rumpf

Prof. Martin Rumpf is a leading academic at the University of Bonn's Institute for Numerical Simulation, specializing in numerical methods for partial differential equations, image/surface processing, and scientific visualization. His work bridges mathematics, computer science, and engineering, with applications in materials science, biomedical imaging, and computer graphics.

Research focuses on developing and analyzing numerical algorithms for PDEs, optimal transport, shape optimization, and geometric calculus. Key contributions include discrete geodesic calculus, elastic shape correspondence, and multiresolutional visualization techniques. His group's projects often involve collaborations with industries and medical institutions.

Notable achievements include the 'Best Paper Award' at SIGGRAPH 2024 for research on Willmore flow and neural networks. His research also extends to biomedical applications, such as kidney microstructure analysis using fast-marching algorithms.

Teaching includes graduate seminars on optimal transport and numerical methods (e.g., 'Analysis and Computation of Optimal Transport', 'Einführung in die Numerische Mathematik').