Research areas of the Chair for Scientific Computing:

  • Nonlinear Optimization
  • Numerical Optimization
  • Optimization and Control with PDEs
  • Aerodynamic Shape Optimization in Multidisciplinary Design Context
  • Optimal Active Flow Control
  • Topology Optimization
  • Robust Design
  • Uncertainty Quantification (UQ)
  • Partial Differential Equations
  • Adjoint State Equations
  • Computational Fluid Dynamics (CFD)
  • Computational Aeroacoustics (CAA)
  • Computational Structural Mechanics (CSM)
  • Algorithmic Differentiation (AD)
  • Machine Learning (ML)
  • High-Performance Computing (HPC)

Some Research Projects