Scheduled presentations:

• Keynote Surrogate models as the key to inject digital twins within the statistical pattern recognition SHM paradigm
  *E. García Macías (Universidad de Granada)
• Meta-Model Assisted Pattern Recognition for Real-Time Identification of Roadway Bridges: a Preliminary Study
  *E. Tomassini (University of Perugia), E. García-Macías (University of Granada), I. Venanzi (University of Perugia), F. Ubertini (University of Perugia)
• Leveraging advanced numerical calibration to filter out temperature effects on vibration-based monitoring data: application to the Mogadouro clock tower
  *A. Barontini (University of Minho, ISISE, ARISE), D. Pellegrini (ISTI–CNR), F. Testa (University of Minho, ISISE, ARISE), M. Girardi (ISTI–CNR), M. Masciotta (University “G. D’Annunzio” of Chieti-Pescara), N. Mendes (University of Minho, ISISE, ARISE), C. Padovani (ISTI–CNR), L. Ramos (University of Minho, ISISE, ARISE), P. Lourenço (University of Minho, ISISE, ARISE)
• Combination of FEM and machine learning models for enhanced dam safety assessment
  F. Salazar (CIMNE), *J. Irazábal (CIMNE), N. Silva-Cancino (CIMNE), D. Vicente (CIMNE)