Ralf Zimmermann is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark. His research focuses on Numerical Linear Algebra, Matrix Analysis, and Scientific Computing, with a particular emphasis on Reduced Order Modelling and Manifold Geometry. He has contributed significantly to the development of efficient algorithms for dynamical systems and geometric optimization on matrix manifolds such as the Stiefel and Grassmann manifolds. His work bridges computational mathematics and engineering applications, including aerodynamics and model reduction techniques. Key research interests include the theoretical foundations of manifold geometry, algorithm design for high-dimensional data, and the application of these methods to real-world problems. He has published extensively on topics like Riemannian metrics, injectivity radii, and curvature analysis. His recent work explores adaptive probabilistic reduced-order models and gradient-enhanced Kriging methods for high-dimensional systems. Recipient of the Best Paper Award (2021) and DFG Scholarship (2014) Organized workshops such as the Nordic Numerical Linear Algebra Meeting (2024) Contributed to projects like Optimal Structure-Preserving Model Reduction and the Danish Data Science Academy His teaching includes courses on numerical analysis, computational physics, and differential equations. Zimmermann actively collaborates internationally, contributing to conferences and peer review.
