Seminar for Applied Mathematics
The Seminar for Applied Mathematics (SAM) is committed to conducting fundamental research in the development and mathematical analysis of efficient discretizations for problems in engineering and the sciences as well as their implementation on supercomputers.
Research at SAM combines rigorous mathematical analysis and algorithmic developments inspired and driven by concrete applications. It encompasses the derivations and analysis of mathematical models, investigations of stability, convergence, and structure of discretizations, and considerations on complexity and efficient implementation of numerical methods, including those on massively parallel, ultra-large scale high performance computing platforms.
Focus on applications at SAM involves a keen interest in interdisciplinary research, which is reflected in the numerous collaborations with scientists outside mathematics and joint projects with the industry.
Research interests: inverse problems and regularization, medical imaging, applied harmonic analysis, multiresolution analysis, signal processing
Research interests: physical applied mathematics, inverse problems and imaging, wave propagation in complex media, multi-scale analysis, biomedical modelling
Research interests: engineering mathematics, computational electromagnetics, computational physics, computational chemistry, finite element methods, interpolation and approximation, numerical methods for ODEs, multi-scale methods
Research interests: computational electromagnetics and wave propagation, numerical shape calculus and shape optimiziation, boundary element and finite element methods, structure preserving discretization of PDEs, preconditioning
Research interests: stochastic analysis for stochastic partial differential equations (SPDEs) and stochastic ordinary differential equations (SODEs), numerical methods for SODEs and SPDEs, computational finance
Research interests: computational astrophysics, computational hydrodynamics and magnetohydrodynamics, numerical methods for hyperbolic conservation laws and high performance computing
Research interests: hyperbolic conservation laws: theory and numerical methods, computational fluid dynamics, computational astrophysics, high performance computing, modeling and computation of complex systems
Research interests: numerical analysis of deterministic and stochastic PDEs, computational uncertainty quantification, high order finite element methods, boundary element methods, multiscale modeling and simulation