Applied Mathematics

Applied mathematics is a major driver of innovation in modern technology-oriented societies, since mathematics is the language, which serves to describe problems in engineering, economics, and natural sciences.

Our research area addresses the analysis, solution, and optimization of challenges motivated by applications. Very often large systems of ordinary or partial differential equations encode such challenges.

Examples are crystal growing, fluid flow, vehicle dynamics, medical imaging, ocean and atmosphere dynamics, climate interactions, renewable energy, and many others.

To solve such challenging problems we develop advanced numerical methods with structure-preserving properties, multi-scale and multi-component methods, inverse modeling techniques, and optimization methods. Techniques of model order reduction as well as data compression play an important role as well.

Information on our research, teaching, and the persons behind this research area can be found on these pages.

Professorships and lecturers

• Prof. Dr. Jörn Behrens: Numerical Methods in Geosciences
• Prof. Dr. Christina Brandt: Mathematical Methods for Medical Imaging
• Prof. Dr. Ingenuin Gasser: Modelling and PDEs
• Dr. Stefan Heitmann: Personal web page
• Prof. Dr. Armin Iske: Numerical Approximation
• Dr. Peywand Kiani: Personal web page
• Dr. Alexander Lohse: Personal web page
• Prof. Dr. Jens Rademacher: Applied Dynamical Systems
• Prof. Dr. Hendrik Ranocha: Structure-preserving numerical methods
• Dr. Kai Rothe: Personal web page
• Prof. Dr. Thomas Schmidt: Geometric Partial Differential Equations
• Prof. Dr. Jens Struckmeier: Numerical Analysis
• PD Dr.-habil. Sven-Ake Wegner: Personal web page
• Prof. Dr. Winnifried Wollner: Optimization
   
• Prof. Dr. Martin Siebenborn: Optimization and Approximation
  (Professor at the Dept. of Math. from 01.02.2018 to 31.10.2022)