Scheduled presentations:

• Mixture Density Network for the Prediction of the Wall Shear Stress Statistical Moments for Turbulent Separated Flows
  *M. Boxho (Cenaero), M. Rasquin (Cenaero), T. Toulorge (Cenaero), G. Dergham (Safran Tech), G. Winckelmans (UCLouvain), K. Hillewaert (ULiège)
• Combining a hyperlocalized Ensemble Kalman Filter and Large Eddy Simulation for the analysis of the oscillating flow rig
  *L. Villanueva (P' Institut - ISAE-Ensma), K. Truffin (IFPEN), M. Meldi (LMFL - Arts et Métiers - Campus de Lille)
• A Physics-Infused Immersed Boundary Method Combining Online Data Assimilation With Machine Learning
  *M. Valero (ENSAM - LMFL), M. Meldi (ENSAM - LMFL)
• Weakly constrained 4D-Var data assimilation in ABL using LES
  *A. Alreweny (KU Leuven), S. Vandewalle (KU Leuven), J. Meyers (KU Leuven)
• Sensitivity of turbulent inflow methods for aeroacoustic simulations of wall-bounded flows
  E. Bagheri (FAU Erlangen-Nürnberg), *R. Stanly (KTH Royal Institute of Technology), A. Peplinski (KTH Royal Institute of Technology), T. Mukha (KAUST), S. Markidis (KTH Royal Institute of Technology), P. Schlatter (FAU Erlangen-Nürnberg)
• Streaming Algorithms for Estimation of Time-averaging Uncertainties in Turbulence Statistics
  *S. Rezaeiravesh (The University of Manchester), C. Gscheidle (Fraunhofer SCAI), A. Peplinski (KTH Royal Institute of Technology), J. Garcke (University of Bonn), P. Schlatter (Friedrich–Alexander Universitat (FAU))