Jens Keim

Dr. Jens Keim is a Research Fellow at the Institute of Applied Analysis and Numerical Simulation at the University of Stuttgart. His research focuses on advanced computational methods for fluid dynamics, particularly entropy-stable schemes and high-order discontinuous Galerkin methods for compressible turbulent flows.

His expertise spans multiphase flow simulation, shock capturing techniques, and dynamic mesh adaptation. Recent work integrates machine learning approaches with traditional CFD methodologies, including reinforcement learning for slope limiting and neural networks for particle dynamics modeling.

Dr. Keim's publications demonstrate consistent innovation in high-performance computing applications for fluid dynamics, with emphasis on parallel algorithms and accelerator-based systems. His research advances numerical stability in complex flow simulations through novel relaxation models and adaptive methods.

Current projects focus on turbulence modeling, multiphase flows, and computational efficiency improvements for large-scale simulations using modern data structures and GPU architectures.