Miriam Schulte

Miriam Schulte is a Professor at the Institute for Parallel and Distributed Systems (IPVS) at the University of Stuttgart. As Dean of Studies SimTech, she leads academic programs in simulation technology. Her research focuses on high-performance computing, multi-physics simulations, and scientific software development, with significant contributions to coupling libraries like preCICE and biophysical frameworks like OpenDiHu.

• Key Research Areas:
  • High-Performance Computing (HPC)
  • Multi-physics and Fluid-Structure Interaction (FSI)
  • Sparse Grids and Hierarchical Numerical Methods
  • Machine Learning in Simulation Software
  • Parallel and GPU-Accelerated Algorithms
• Advising:
  • Guided student projects on quantum neural networks, GPU-optimized sparse grids, and SYCL-based HPC frameworks.
  • Coordinated SimTech Research Modules and IPVS/SGS team initiatives.
• Software Leadership:
  • Maintains preCICE (coupling library for multi-physics)
  • Develops OpenDiHu (neuromuscular simulations)
  • Advances PLSSVM (parallel SVM library) and SG++ (sparse grids)

Her recent publications (2022–2025) emphasize machine learning integration with multi-physics simulations, including groundwater heat pumps, brain tumor modeling, and neuromuscular EMG prediction. She actively promotes open-source software sustainability and collaborative research infrastructure at the University of Stuttgart.