Scheduled presentations:

• Student A Dual Updating Scheme For Damage Identifiation Based on Physics-Informed Neural Networks
  *V. Panagiotopoulou (Politecnico di Milano), C. Sbarufatti (Politecnico di Milano), E. Chatzi (ETH Zurich)
• Physics-embedded Graph Neural Networks for Rapid Assessment of Electrical Substations in Extreme Events
  *B. Moya (ENSAM), H. Liang (Future resilient systems Singapore-ETH centre), E. Chatzi (ETH Zurich), F. Chinesta (ENSAM Paris)
• Student Automated condition monitoring using spectral autoencoders for fault detection in mechanical systems
  *F. Jamil (Vrije University Brussels), C. Peeters (Vrije University Brussels), J. Helsen (Vrije University Brussels)
• Student Online Parameter Identification for Flow Quality Monitoring in Solenoid Valves
  *V. Smeets (KU Leuven), F. Naets (KU Leuven), K. GRyllias (KU Leuven)
• Student Physics-informed neural networks (PINNs) for bridges with moving loads
  *A. Al-Adly (University of Exeter), P. Kripakaran (University of Exeter)
• Mode Shape-Informed Graph Neural Networks for Structural Damage Localization in Truss Bridges
  *A. Dadras Eslamlou (University of Vigo), S. Mammeri (University of Vigo), M. Cabaleiro (University of Vigo), B. Conde (University of Vigo), B. Riveiro (University of Vigo)