Collection
Machine Learning for Fluid Dynamics
Editors
-
Paola Cinnella
Paola Cinnella is a full professor in Fluid Mechanics at Sorbonne University in Paris and member of the Jean Le Rond D’Alembert Institute of Theoretical and Applied Mechanics. Graduated in Mechanical Engineering from Politecnico di Bari in Italy in 1995, she received her Ph.D. in Fluid Mechanics from the Ecole Nationale Supérieure d’Arts et Métiers in Paris in 1999. Her research field is in Computational Fluid Dynamics and related topics, including optimization, uncertainty quantification, and data-driven modelling, with application to compressible and turbulent flows in Aerospace and Energy applications.
-
Richard Dwight
Dr. Richard Dwight is an associate professor in the Aerodynamics Group at TU Delft (Netherlands). He studied mathematics at Cambridge, and performed his PhD at the German Aerospace Center (Braunschweig, Germany) jointly with the University of Manchester. His work concerns numerical methods for optimization, uncertainty quantification and inverse problems in high-dimensional spaces with expensive simulation codes. Recent applications are to data-driven model discovery in turbulence.
-
Ricardo Vinuesa
Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology in Stockholm. He received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand, control and predict complex wall-bounded turbulent flows, such as the boundary layers developing around wings and urban environments.
