Team

Research software engineering; interoperability in scientific computing; numerical optimization

Nonlinear model reduction for transport-dominated problems; reduced basis methods and linear model reduction; scientific machine learning; optimal control of dynamical systems

(Localized) model reduction and reduced basis methods; theory and numerics for Friedrichs systems; optimally stable discretizations; local training for multiscale problems

Localized model reduction for parametrized and multiscale problems; reduced basis methods; PDE-constrained optimization; research software (pyMOR, dune-gdt)

(Localized) model reduction; multiscale methods; domain decomposition methods

Model reduction; combined state and parameter-space reduction; gas network simulation; dynamic mode decomposition; knowledge graphs

PDE-constrained Parameter Optimization, Reduced Basis Methods, Multiscale Finite Element Methods, Perturbed problems

Reduced Basis Methods, Li-Ion Batteries

Transport Dominated Problems, Kinetic Equations, Hierarchical Model Reduction, Reduced Basis Method, Space-Time Variational Formulations

Randomized local model order reduction, Quantitative stochastic homogenization

Randomized Local Model Order Reduction

Multiscale Finite Element Methods, (Numerical) Homogenization, Time-Harmonic Maxwell's Equations

A-posteriori Error Estimates, Homogenization, Multiscale Algorithms

Adaptive Finite Element Methods

RB Methods, Optimization, Multiscale Modelling

Model Order Reduction, Multiscale Methods

RB Matlab, Dune RB

Transport problems in porous media, Inverse Problems, Nonlinear Programming

Reduced Basis Methods, Fuel Cells, Maschine Learning, Finite Volume Schemes

Reduced Basis Methods, Richards Equation

Continental AG; Research and Development - Commercial Vehicle Tires

MeVis - Medical Solutions AG/Research

Secretary