Scheduled presentations:

• Accelerating Numerical Simulations in CFD by Model Reduction with Scientific and Physics-Informed Machine Learning
  *G. Rozza (SISSA mathLab)
• Adaptive Neural Networks for Reduced Order Modeling
  *D. Torlo (University of Rome Sapienza), F. Pichi (SISSA)
• Surrogate models for diffusion on graphs via sparse polynomials
  *G. D'Inverno (SISSA, MathLab, Trieste), K. Ajavon (Concordia University, Montréal (CA)), S. Brugiapaglia (Concordia University, Montréal (CA))
• 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)
• Toward Non-Intrusive Reduced-Order Models for Stokes Problem in Geodynamical Applications
  *M. Ramadan (SISSA mathLab), F. Pichi (SISSA mathLab), G. Rozza (SISSA mathLab)
• A spatial filtering approach to model the small scale phenomena in turbulent flows
  *M. Girfoglio (University of Palermo)