Scheduled presentations:

• Learning Reduced-Order Dynamics with Probabilistic Methods
  *M. Guo (University of Twente)
• Reduced order models for time-dependent problems using the Laplace transform
  *R. Reyes (EPFL), J. Hesthaven (EPFL), S. Vallaghe (Akselos), D. Knezevic (Akselos)
• Digital Twins for Predictive Maintenance in Industry
  *K. Aly (International School for Advanced Studies), G. Rozza (International School for Advanced Studies)
• Reduced order modeling of parametrized systems through autoencoders and dynamics identification
  *P. Conti (Politecnico di Milano), G. Gobat (Politecnico di Milano), S. Fresca (Politecnico di Milano), A. Manzoni (Politecnico di Milano), A. Frangi (Politecnico di Milano)
• Development of a Multi-Fidelity Surrogate Model of a Combustion Chamber: High-Fidelity Data Effect on Prediction Accuracy
  A. Özden (ULB), *R. Malpica Galassi (ULB), F. Contino (UC Louvain), A. Parente (ULB)
• Efficient Markovian Framework for Digital Twinning Applications in Production System Engineering
  *N. Hadžić (University of Zagreb, Faculty of Mechanical E), V. Ložar (University of Zagreb, Faculty of Mechanical E), T. Opetuk (University of Zagreb, Faculty of Mechanical E), R. Keser (University of Zagreb, Faculty of Mechanical E)