Scheduled presentations:

• Accelerating Numerical Simulations in CFD by Model Reduction with Scientific and Physics-Informed Machine Learning
  *G. Rozza (SISSA mathLab Trieste)
• Adaptive Filtering Strategies for Convection-Dominated flows through Reinforcement Learning
  *A. Ivagnes (SISSA), M. Strazzullo (Politecnico di Torino), G. Rozza (SISSA)
• An Order-Preserving Multi-Stage Tensor Reduction Strategy with Efficient Interpolation/Regression for Reduced-Order Modeling
  *H. Kapadia (Max Planck Institute Magdeburg), L. Feng (Max Planck Institute Magdeburg), P. Benner (Max Planck Institute Magdeburg)
• Advances in Optimal Transport: Efficient Semi-Discrete Solvers and Application to Data-Driven Reduced Order Modeling
  *M. Khamlich (SISSA), G. Rozza (SISSA), F. Pichi (SISSA)
• Reduced Order Modeling for Advection-dominated and Turbulent Flows
  *D. Oberto (SISSA), M. Strazzullo (Politecnico di Torino), F. Pichi (SISSA), S. Berrone (Politecnico di Torino), G. Rozza (SISSA)
• Data-Driven Model Reduction via Non-Intrusive Optimization of Projection Operators and Reduced-Order Dynamics
  *A. Padovan (University of Illinois Urbana-Champaign), D. Bodony (University of Illinois Urbana-Champaign)