Scheduled presentations:

• Keynote Advancing Scientific Machine Learning for Coupled Problems in Industrial Engineering
  *W. Schilders (Platform Wiskunde Nederland)
• A non-overlapping optimization-based domain decomposition approach to model reduction of coupled problems
  *L. Zhang (Tongji University), T. Taddei (Inria Bordeaux), X. Xu (Tongji University)
• Decomposition and Model Selection Optimization for Schwarz-based Coupling of Data-driven Models
  *C. Wentland (Sandia National Laboratories), A. Gruber (Sandia National Laboratories), A. Mota (Sandia National Laboratories), E. Parish (Sandia National Laboratories), I. Tezaur (Sandia National Laboratories)
• A time-adaptive solver for pressure dominated flows in CFD and FSI: domain decomposition and model reduction
  *D. Torlo (Università di Roma La Sapienza), I. Prusak (SISSA), M. Nonino (University of Vienna), G. Rozza (SISSA)
• DG-based domain decomposable reduced order models and repartitioning strategies: applications to biomedical models
  *F. Romor (Weierstrass Institute), A. Caiazzo (Weierstrass Institute)