Scheduled presentations:

• Keynote Hybrid Physics-AI Digital Twins of the Earth's Climate
  *G. Mengaldo (National University of Singapore)
• Construction, Verification, and Validation of a Machine Learning Surrogate Model to Predict Flow in Occluded Coronary Arteries
  *D. Parsons (Medtronic), A. Fisher (Medtronic)
• POD Based Reduced Order Modeling for Underground Mine Ventilation Systems
  *S. Ben Youssef (Université du Québec en Abitibi-Témiscamingue), H. Mrad (Université du Québec en Abitibi-Témiscamingue), H. Marouani (École nationale d'ingénieurs de Monastir)
• Data-Driven Prediction of Motor Winding Temperature with Lightweight Neural Network Models for Embedded Applications
  *H. Jeong (Korea University), Y. Hwang (Korea University), G. Noh (Korea University)
• Digital Twins for sloshing fluids: Coupling Computer Vision with Thermodynamics-informed Deep Learning
  *A. Tierz (University of Zaragoza), I. Alfaro (University of Zaragoza), D. González (University of Zaragoza), E. Cueto (University of Zaragoza)