Scheduled presentations:

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