- Numerical methods for partial differential equations
- Modell reduction procedures, in particular reduced base methods for evolution problems
- Optimal controlling and inverse problems for paramaterised partial differential equations.
Martin Grepl has headed the junior research group Optimisation of Partial Differential Equations at the Institute of Geometry and Applied Mathematics since May 2009. Prof. Grepl's research focuses on the development of model reduction procedures for parameterised differential equations and the application of this procedures to the soluation of optimal controlling issues and inverse and optimisation problems.
Martine Grepl studied aerospace engineering at the University of Stuttgart from 1994 through 2000 (Dipl.-Ing. Aerospace Engineering). Subsequently he went to the Massachusetts Institute of Technology, USA, where he completed a Master of Science degree in 2001 and a PhD in Mechanical Engineering. His doctoral thesis focuses on the development and implementation of numerical methods for the the calcuation and simulation of partical differential equations in real-time.
Since 2005, Martin Grepl has worked as designing engineer in the areas Chassis Systems Control and Corporate Research at Robert Bosch GmbH, Stuttgart, where he was also responsible for vehicle dynamics controlling systems and headed a project in the area of overall system simulation.