Scheduled presentations:

• Keynote Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT)
  *T. Kvamsdal (NTNU), E. Fonn (SINTEF Digital), A. Rasheed (NTNU), V. Tsiolakis (NTNU), H. van Brummelen (TU Eindhoven)
• A Thermodynamics-Informed Deep Learning Framework for Resolution Augmentation
  *C. Bermejo Barbanoj (University of Zaragoza), B. Moya García (University of Zaragoza), A. Badías Herbera (Polytechnic University Of Madrid), F. Chinesta Soria (ENSAM Institute of Technology), E. Cueto Prendes (University of Zaragoza)
• Dimensionality Reduction for Pollutant Forecasting on a Real Urban Area Test Case
  *C. Nixarlidis (Université Libre de Bruxelles (ULB)), L. Cotteleer (Université Libre de Bruxelles (ULB)), A. Gambale (BuildWind SPRL), T. De Troyer (Vrije Universiteit Brussel (VUB)), A. Parente (Université Libre de Bruxelles (ULB))
• Physics-Aware Soft-Sensors for Embedded Digital Twins
  E. Chinellato (University of Padova), P. Martin (SimNumerica), S. Pierobon (University of Padova), L. Rinaldi (University of Padova), G. Giusteri (University of Padova), *F. Marcuzzi (University of Padova)
• Determination of remaining useful life by fusion of physical- and data-driven modeling
  E. Öztürk (IWF ETH), *B. Ott (ETH)