Scheduled presentations:

• Keynote Large Eddy Simulation Reduced Order Models (LES-ROMs) for Turbulent Flows
  *T. Iliescu (Virginia Tech)
• Model Reduction and Scientific Machine Learning for environmental and urban flows
  *G. Stabile (Sant'Anna School of Advanced Studies)
• Non-linear Projection-Based Model Reduction for Turbulent Flow Problems
  *V. Tsiolakis (SINTEF Digital), E. Fonn (SINTEF Digital), T. Kvamsdal (NTNU), A. Rasheed (NTNU), H. Van Brummelen (Eindhoven University of Technology)
• Certifying Bifurcations in ROMs via Deflated-Greedy Algorithms
  *F. Pichi (SISSA), M. Strazzullo (Politecnico di Torino)
• Consistent ROM-ALM-VMS formulation for modeling wind turbines
  S. Dave (University of Calgary), A. Regmi (University of Calgary), *A. Korobenko (University of Calgary)