Hello! I am Miguel Alfonso Mendez, Associate Professor at the von Karman Institute for Fluid Dynamics (VKI) . Within the Institute’s postgraduate Research Master (Master-after-Master), I teach differential equations, signal processing, experimental methods, and machine learning applied to fluid dynamics.

I also lead the ML4F — Machine Learning for Fluid Systems research expertise group, which focuses on the development of hybrid physics–data methodologies for modeling, identification, and control of complex fluid and thermo-fluid systems. Core activities include data assimilation and digital twinning, reduced-order modeling, physics-informed and physics-constrained learning, and learning-based control, with strong links to experiments and real-time applications.

Since 2025, I have been a Visiting Professor at both ULB (Aéro-thermo-mécanique Department) and Universidad Carlos III de Madrid (Aerospace Engineering Department).

This website collects material related to our research and teaching activities, including courses, ongoing projects, events, publications, and opportunities for students and collaborators.

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