Scheduled presentations:

• Keynote Generative A.I. meets Reduced-Order Modeling: partial knowledge and hidden parameters in physical systems
  *N. Franco (Politecnico di Milano), A. Violante (Politecnico di Milano), A. Manzoni (Politecnico di Milano)
• Time-periodic spectral manifolds for reduced-order modeling of fluid flows: application to vortex pairing in an axisymmetric jet
  *A. Padovan (New Jersey Institute of Technology), J. Jaquette (New Jersey Institute of Technology), J. Mireles James (Florida Atlantic University)
• Spline-enhanced deep learning for model reduction of problems with non-linear manifolds
  *V. Chheda (RWTH Aachen University), M. Chasapi (RWTH Aachen University)
• Autoencoder embeddings: latent manifold investigation in Aerodynamics
  *E. Saetta (University of Naples Federico II), R. Tognaccini (University of Naples Federico II), G. Iaccarino (Stanford Universit)