Scheduled presentations:

• Probabilistic Rectification of High-Dimensional Structural Digital Twins Using Adaptive Physics-Aware Model
  *R. Thorat (Indian Institute of Technology Delhi), R. Nayek (Indian Institute of Technology)
• Probabilistic Virtual Sensor Design Using Physics-Based Modeling and Gaussian Process Regression
  *S. Brandstaeter (University of the Bundeswehr Munich), B. Maradni (University of the Bundeswehr Munich), A. Popp (University of the Bundeswehr Munich)
• Grey-box Models Using Physics-informed Gaussian Process Regression in Turning Machining
  *Y. Wu (Hamburg University of Technology), D. Höche (Helmholtz-Zentrum Hereon), S. Götschel (Hamburg University of Technology), J. Zemke (Hamburg University of Technology)
• Gaussian Processes over Graphs for Layout-Agnostic Power and Load Inference for Control and Decision Support of Wind Farms
  *L. Kalathiparambil Kennedy (ETH Zürich), G. Duthé (ETH Zürich), G. Arcieri (ETH Zürich), E. Chatzi (ETH Zürich)
• Transdimensional Methods for Adaptive Parametrization
  *A. Dols (CIMNE), M. Amaya (CIMNE), P. Díez (CIMNE, LaCàN), S. Zlotnik (CIMNE, LaCàn)
• Smart monitoring of mechanical systems using signature-informed modeling
  *D. Goutaudier (CNRS, PIMM Laboratory)