Courses and supervised students


Mathematical Principles I

Winter 2022/2023, website

Numerical Methods for Computational Fluid Dynamics

Summer 2021, website

Machine Learning in Theory and Practice

Winter 2020/2021, website

Numerical Methods for Computational Fluid Dynamics

Summer 2020, website

Machine Learning with Artificial Neural Networks

Winter 2019/2020, website

Supervised Students

PhD theses

  • N. Neher, Particle-based parallel multiphysics simulations (tbd.) (expected 2027)

Master’s Theses

  • H. Zunker, Robust and self-learning shock capturing with artificial neural networks (2022)
  • D. Sklema, Perturbation kinetic equations for turbulence simulations (2022)
  • E. Faulhaber, Octree-Based AMR on Cubed Sphere Grids with Discontinuous Galerkin Methods (2022)
  • K. Scislak, Deep learning-based boundary conditions for computational aeroacoustics (2021)
  • J. Odenthal, Shock capturing with articial neural networks (2021)
  • M. Matysiak, Turbulence modeling with artificial neural networks for the viscous Burgers’ equation (2020)
  • J. Vorspohl, A comparison between SBP-SAT and DG operators for computational aeroacoustics on non-conforming meshes (2019)
  • B. Peeters, Combustion noise prediction with the direct-hybrid method for computational aeroa- coustics (2017)
  • A. Niemöller, Dynamic load balancing for direct-hybrid computational aeroacoustics, 2017
  • A. Mengel, Investigation of the sound generated by the flow behind a rectangular cylinder with the direct-hybrid method for computational aeroacoustics (2016)
  • J. Miller, Software Cost Estimation for the Development Effort applied to Multi-node GPU Aeroa- coustics Simulations (2016)
  • L. Liberson, Implementation and validation of boundary conditions for a discontinuous Galerkin- based solver for the acoustic perturbation equations (2014)
  • S. Berger, Implementation and validation of an adaptive hp-refinement method for the discontinuous Galerkin spectral element method (2014)

Bachelor’s Theses

  • L. Christmann, Non-reflecting boundary conditions for computational aeroacoustics based on arti- cifial neural networks (2022)
  • L. Hristozova, Comparison of the discontinuous Galerkin method with SBP-SAT finite difference operators for aeroacoustics problems (2018)
  • P. Antony, Development of a coupled discontinuous Galerkin–finite volume scheme, 2018
  • F. Zechel, Dissipations- und Dispersionseigenschaften der unstetigen Galerkin Spektrale Elemente Methode (2016)
  • A. Niemöller, Comparison of different methods for solving the acoustic perturbation equations (2015)
  • M. Nicolini, Software Cost Estimation of GPU-accelerated Aeroacoustic Simulations with OpenACC (2015)
  • J. Stratmann, Simulating advection-diffusion problems with the discontinuous Galerkin method (2015)
  • A. Marwege, Conservative interpolation methods for nodal discontinuous Galerkin schemes (2015)