Scheduled presentations:

• Physics-informed machine learning surrogate for applications in structural health monitoring and development of digital twins of wind turbines
  S. Baisthakur*, B. Fitzgerald
• Federated Physics-Informed Machine Learning for Ultrasonic Structural Health Monitoring of Aircraft Structures
  L. Jilke*, F. Raddatz, N. Hosters, M. Behr, G. Wende
• Efficient Active Learning for Sparse Gaussian Process Classifiers in SHM
  J. Mclean*, N. Dervilis, T. Rogers
• Virtual Concrete Lab: A Multiscale Computational Framework for Early Damage Assessment through Coda Signal Analysis
  G. Vu*, J. Timothy, G. Meschke
• Physics-Augmented Neural Networks for Constitutive Modeling: Toward an Application for Structural Health Monitoring
  A. Benady*, S. Farahbaksh, E. Baranger, L. Chamoin
• Enhancing Offshore Wind Turbine Health Monitoring through a Hybrid Approach of Reduced Order Modelling and Machine Learning
  A. Pastor Sanchez*, J. Garcia Espinosa, D. Di Capua