Scheduled presentations:

• A minimally intrusive nonlinear model order reduction technique for structural mechanics
  *M. Tannous (PIMM, ENSAM Institute of Technology), C. Ghnatios (PIMM, ENSAM Institute of Technology), E. Fonn (SINTEF Digital), T. Kvamsdal (SINTEF Digital), F. Chinesta (PIMM, ENSAM Institute of Technology)
• Towards universal Neural ODEs.
  *J. Mounayer (ENSAM), C. Ghnatios (ENSAM), J. Tomezyk (SKF Magnetic Mechatronics), F. Chinesta (ENSAM)
• Walking parameter inference from strain data for a footbridge
  A. Humphry (Autodesk), *A. Bakar (Autodesk), J. Zhang (Autodesk), F. Javid (Autodesk), P. Nadeau (Autodesk), M. Ebrahimi (Autodesk), A. Butscher (Autodesk), A. Tessier (Autodesk), J. rodriguez (Autodesk), M. Azzi (Stanford University), C. Farhat (Stanford University)
• Reducing Uncertainty in Digital Twin Models by Leveraging Data from a Population of Related Assets
  *T. Wildey (Sandia National Labs), R. White (Sandia National Labs), J. Jakeman (Sandia National Labs), T. Butler (University of Colorado - Denver)
• Data Driven Uncertainty Quantification with Neural Networks
  *V. Halonen (University of Jyväskylä), M. Wolfmayr (JAMK University of Applied Sciences), I. Pölönen (University of Jyväskylä)
• Digital Twin For Direct-Use Geothermal Project On The TU Delft Campus
  *D. Voskov (TU Delft), H. Abels (TU Delft), Y. Chen (TU Delft), A. Daniilidis (TU Delft), D. Bruhn (TU Delft), S. Geiger (TU Delft), G. Song (TU Delft), P. Vardon (TU Delft)