Scheduled presentations:

• A Multi-Fidelity Ensemble Kalman Filter with Adaptive Reduced-Order Models
  *F. Silva (Eindhoven University of Technology), C. Pagliantini (Eindhoven University of Technology), K. Veroy (Eindhoven University of Technology)
• Non-Intrusive Model Order Reduction for Sintering Applications
  *R. Dhopeshwar (Eindhoven University of Technology), H. Bansal (Eindhoven University of Technology), H. Shi (Eindhoven University of Technology), D. Giuntini (Eindhoven University of Technology), K. Veroy (Eindhoven University of Technology)
• Multilevel Optimization for Inverse Problems
  S. Weissmann (Heidelberg University), A. Wilson (MIT), *J. Zech (Heidelberg University)
• Ensemble Kalman Inversion for reduced Multi-scale Model via Deep-learning
  Y. Hong (Eindhoven University of Technology), *H. Bansal (Eindhoven University of Technology), K. Veroy (Eindhoven University of Technology)
• Deep learning solvers for predicting alloy microstructure in additive manufacturing
  *G. Biros (The University of Texas at Austin)