Contributions in this session:

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