Scheduled presentations:

• An efficient computational framework for predictive digital twins in structural health monitoring
  M. Torzoni (Politecnico di Milano), M. Tezzele (University of Texas at Austin), S. Mariani (Politecnico di Milano), *A. Manzoni (Politecnico di Milano), K. Willcox (University of Texas at Austin)
• Deep learning of coupled dissipative systems
  *Q. Hernández (University of Zaragoza), A. Badías (Polytechnic University of Madrid), F. Chinesta (ESI Chair at the PIMM Lab), E. Cueto (University of Zaragoza)
• Cell to Whole Organ Global Sensitivity Analysis on a Four-chamber Electromechanics Model
  *M. Strocchi (King's College London), S. Longobardi (King's College London), C. Augustin (Medical University of Graz), M. Gsell (Medical University of Graz), C. Rinaldi (King's College London), E. Vigmond (IHU Liryc), G. Plank (Medical University of Graz), C. Oates (Newcastle University), R. Wilkinson (University of Nottingham), S. Niederer (King's College London)
• Deep Kernel Learning of Dynamical Models from High-Dimensional and Noisy Data
  *N. Botteghi (University of Twente), M. Guo (University of Twente), C. Brune (University of Twente)
• Multiscale Process Modelling Analysis for Digital Twin and prediction of Composite Strength Allowables
  *G. Odegard (Michigan Technological University), M. Maiaru (University of Massachusetts Lowell)