Scheduled presentations:

• Design Choices in Physics-Informed Neural Networks for Inverse Problems in Structural Dynamics
  R. Sai-Obodai (Ashesi University), B. Afutu (Ashesi University), *R. Zhang (ETH zurich), E. Chatzi (ETH zurich)
• Physics-Informed Inverse Learning for Drive-By Bridge Damage Localisation and Quantification
  *E. Atroshchenko (University of New South Wales), M. Makki Alamdari (University of New South Wales)
• Exploring Test-Time Reduced Order Model Adaptation for Response Prediction in Changing Environments
  *K. Vlachas (ETH Zurich), E. Chatzi (ETH Zurich)
• Large Engineering Models: Data-driven Simulators for Injection Moulding, Power Transformers and Hypersonic Flows
  *S. Kaltenbach (Emmi AI)
• Eco-Routing in Urban Networks: A Comparative Study of A* and Dijkstra on Ecology-Aware and Fastest Objectives
  *F. Siratuti (CEFET - MG), H. Marques (CEFET - MG)