Episode description
📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : https://geni.us/08JM
🌍 Miguel's website: https://www.mendezma.com
🌍 Machine Learning for Fluid Mechanics: Analysis, Modeling, Control and Closures: https://www.datadrivenfluidmechanics.com
Miguel Alfonso Mendez is an Associate Professor at the von Karman Institute for Fluid Dynamics (VKI). Here, he teaches differential equations for fluid mechanics, signal processing, and experimental methods at the Research Master program (Master after Master) in fluid dynamics. His research interests include engineering modelling of fluid flows, experimental fluid mechanics, data-driven modal analysis, flow control, inverse problems, and machine learning.
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