Scheduled presentations:

• Simulation of ground penetrating radar data for railway condition assessment via Physics-Informed Neural Networks
  T. Rigoni (ETH Zurich), G. Arcieri (ETH Zurich), M. Haywood-Alexander (ETH Zurich), D. Haener (Swiss Federal Railways SBB), *E. Chatzi (ETH Zurich)
• Structural Stress Estimation using Digital Image Correlation and Machine Learning
  *W. Mucha (Silesian University of Technology), G. Kokot (Silesian University of Technology)
• Dynamic identification of structures by means of stochastic subspace identification method.
  *S. Scalisi (University of Catania), M. Cuomo (University of Catania)
• Sensor Integrity Assessment and Spatio-Temporal Interpolation using Graph Neural Networks for Radioactive Waste Repository Monitoring
  *P. Hembert (Andra / PIMM), C. Ghnatios (PIMM), J. Cotton (Andra), F. Chinesta (PIMM)
• Review and challenges for a realistic numerical SHM benchmark
  *F. Marafini (University of Florence), G. Zini (University of Florence), A. Barontini (University of Minho), M. Betti (University of Florence), G. Bartoli (University of Florence), N. Mendes (University of Minho), A. Cicirello (University of Cambridge)