Scheduled presentations:

• Data-Efficient Nonlinear and Parametric Aeroelastic Modeling via Physics-Informed Sparse Identification
  *M. Sinani (Imperial College London), U. Fasel (Imperial College London), R. Palacios (Imperial College London), A. Wynn (Imperial College London)
• Model order reduction and adaptive sampling for data-efficient parameter inference in granular flows
  *H. Cheng (University of Twente), M. Guo (Lund University)
• Active sampling for sparse dictionary learning of nonlinear dynamical systems under data constraints
  *A. Larrañaga (University of Washington), U. Fasel (Imperial College London), S. Brunton (University of Washington)
• Risk-Optimal Multifidelity Linear Regression for Surrogate Modeling from Scarce Data
  *A. Rex (Georgia Institute of Technology), E. Qian (Georgia Institute of Technology)
• Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements
  *F. ZACCHEI (Politecnico di Milano, MOX - Department of Ma), A. Larranaga (University of washington Seattle), A. Manzoni (Politecnico di Milano, MOX - Department of Ma), S. Brunton (University of washington Seattle)