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IUTAM Symposium 2022

Invited Speakers

IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, 15-17 June 2022

Steven L. Brunton, University of Washington, USA, sbrunton@uw.edu
- Title: Machine learning for scientific discovery, with examples in fluid mechanics

Paola Cinnella, Sorbonne Université, France, paola.cinnella@sorbonne-universite.fr
- Title: Bayesian machine learning for turbulence model discovery and uncertainty quantification

Richard Dwight, Delft University of Technology, Netherlands, r.p.dwight@tudelft.nl
- Title: Customized RANS turbulence closures for application in wind energy

Luca Magri, Imperial College London, UK, l.magri@imperial.ac.uk
- Title: Marrying physics with data-driven methods for chaotic and extreme flows

Revised 09.03.2026

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Mahdi Abkar