Scheduled presentations:

• Identifying scatterers of arbitrary geometries within complex-shaped 3D structures using machine learning and elastic wave measurements
  B. Kim (Central Michigan University), L. Lasceski (Central Michigan University), *C. Jeong (Central Michigan University)
• Graph Neural Networks for Full Waveform Inversion
  *D. Singh (TU Munich), L. Herrmann (Bauhaus-Universität Weimar), T. Bürchner (TU Munich), F. Dietrich (TU Munich), S. Kollmannsberger (Bauhaus-Universität Weimar)
• Gaussian Mixture Approximations for Nonlinear Confidence Regions in Uncertainty Quantification
  *A. Chauhan (Helmut-Schmidt-Universität, Hamburg)
• AI-Driven Inverse Identification Method for Heterogeneous Materials
  *H. Liu (Dalian University Of Technology), Y. Mei (Dalian University Of Technology)
• Inverse PINN Identification of Viscosity Ratio in Buckley–Leverett Transport
  *T. Imankulov (Al-Farabi Kazakh National University), Y. Kenzhebek (Al-Farabi Kazakh National University), S. Bekele (Al-Farabi Kazakh National University), D. Akhmed-Zaki (Mukhtar Auezov South Kazakhstan University)
• Automatic Discovery of Interpretable Free Thermal Strain Models
  *A. Soltani (The University of Sheffield), F. Fathi (The Universitry of Sheffield), R. de Borst (The Universitry of Sheffield), G. Torelli (The Universitry of Sheffield)