Scheduled presentations:

• Keynote A Blended Projection-Based Reduced-Order Model-Artificial NeuralNetwork Concept for Addressing the Kolmogorov Barrier to the Reducibility of CFD Models
  *C. Farhat (Stanford University), J. Barnett (Stanford University), Y. Maday (Sorbonne Universite and Universite de Paris Cite)
• Reduced-Order Modeling of Turbulent Combustion Without Offline Training Using Time-Dependent Bases
  *H. Babaee (University of Pittsburgh)
• Student Fast and accurate reduced order modelling for the simulation of blood flow dynamics
  *P. Siena (SISSA), C. Balzotti (SISSA), M. Girfoglio (SISSA), A. Quaini (University of Houston), G. Rozza (SISSA)
• Student Inferring Models for the Pressure Gradient in an Idealized Stenosis
  *E. Livingston (University of Michigan), A. Figueroa (University of Michigan), K. Garikipati (University of Michigan)
• Reduced Order Models on a Variational Multi-Scale Model of Navier--Stokes
  *D. Torlo (SISSA), S. Rubino (Universidad de Sevilla), G. Stabile (SISSA)