Current Projects
- EXAHD
An exa-scalable two-level sparse grid approach for higher-dimensional problems in plasma physics and beyond - Advancing High-Dimensional Simulations
Stable, Mass-Conserving and Widely-Distributed Simulations with the Sparse Grid Combination Technique - SimTech PN6 Project 6-2
Surrogate modelling by simulation-enhanced machine-learning - SimTech PN6 Project 6-2 (II)
Towards Parameter-Dependent Data-Enriched Physics-Informed Machine Learning - Task-Based GPU Programming with HPX
Stellar mergers using portable task-based GPU programming - HPX for Scientific Computing
Performant building blocks for scientific computing using task-based programming - Advantest P3
Self-learning tuning for post-silicon validation - PLSSVM
Parallel least-squares support-vector machine on multiple GPUs - Lullabyte
The influence of music on sleep quality metrics - Reliability Analysis in Autonomous Driving
Surrogate modeling for the development of reliable simulation-based validation methods for automated driving systems (in collaboration with Robert Bosch GmbH)
Former Projects
- Parameter dependencies and uncertainties in large-scale simulations
A numerical, adaptive approach for modelling parameter dependencies and uncertainties in large-scale simulations - SFB 716 D.9
Load-balancing for scalable simulations with large particle numbers - CharMSpline
Characteristic maps for higher dimensional problems using B-splines on sparse grids