Scheduled presentations:

• Characterization of Discrete Adjoint Solvers in SU2 for Aerodynamic Design Optimization
  H. Patel (Stanford University), J. Alonso (Stanford University), *O. Burghardt (University of Kaiserslautern-Landau)
• Adjoint-Based Sensitivity Analysis for Multi-Disciplinary Optimization with the Open-Source Software SU2
  *O. Burghardt (University of Kaiserslautern-Landau), N. Gauger (University of Kaiserslautern-Landau)
• Design of Parallel Flow Manifolds using Topology Optimization in Open-Source Software SU2
  *S. Vermani (Flemish Institute for Technological Research), L. van der Mark (Delft University of Technology), C. De Servi (Flemish Institute for Technological Research), N. Anand (Flemish Institute for Technological Research)
• Bayesian Neural Network Surrogates for Efficient Global Optimization of an Airfoil Geometry
  *J. Rottmayer (RPTU Kaiserslautern-Landau), L. Chen (RPTU Kaiserslautern-Landau), E. Özkaya (RPTU Kaiserslautern-Landau), N. Gauger (RPTU Kaiserslautern-Landau)
• Data-Driven Aerodynamic Shape Design with Distributionally Robust Optimization Approaches
  *L. Chen (University of Kaiserslautern-Landau (RPTU)), J. Rottmayer (University of Kaiserslautern-Landau (RPTU)), L. Kusch (University of Kaiserslautern-Landau (RPTU)), N. Gauger (University of Kaiserslautern-Landau (RPTU)), Y. Ye (Stanford University)
• Extending the One-Shot Optimization Capabilities in SU2
  *E. Bunschoten (Delft University of Technology), L. Kusch (Technical University of Kaiserslautern)