Engineering & PhD Life - Miguel Alfonso Mendez | Podcast

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📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : geni.us/08JM
🌍 Miguel's website: www.mendezma.com
🌍 Machine Learning for Fluid Mechanics: Analysis, Modeling, Control and Closures: www.datadriven...
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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Podcast Recorded: November, 20th 2023 - Subscriber Release Count: 30,207.

[@JousefM]

📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : geni.us/08JM
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[@satypk8664]

it would be better if you provide timestamps also

[@ozzymultiuso]

Miguel was my supervisor when I did my master thesis during my short training program. He was a great professor, he taught me a lot of things. He had a great capability to understand the needs of students. I am glad to see him in your podcast and congrats for your project!

[@youtube_showcase]

This episode gave a great overview of the field, and made a lot of concepts clear to me. Thank you for sharing!

[@Musti_swe]

This was really nice to listen too as a PhD student recently started working with AI. Always fun to see what other fields AI is being applied to and what challenges come with it. Keep up the good work 🌟

[@JousefM]

Thanks mate!

[@mohame.k5399]

amazing podcast , keep enlightening us Jousef

[@JousefM]

Thanks mate

[@Azch20]

Firstly thank you for the useful podcasts, I'm suggesting you add English translation to the videos, some accents are hard to grasp.