George Miloshevich

KU Leuven. Centre for mathematical Plasma-Astrophysics, Belgium

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Short Summary

I am a Marie Skłodowska-Curie fellow at KU Leuven working on the interface between plasma physics and scientific machine learning (ML): Project STRIDE aims to improve representation of particle effects in plasma fluid and hybrid models using neural networks and symbolic regression trained on high-fidelity particle simulations.

I am also project manager of ASAP, a project that aims to develop the AI algorithms and the required software/hardware to be deployed onboard of space missions in order to facilitate and improve space science and exploration. This includes the development of AI algorithms for autonomous data analysis, and data compression onboard of space missions.

My research interests:

  • Machine learning for space weather and space plasmas
  • Physics-informed machine learning
  • Extreme events in environmental data science
  • Turbulence and reconnection in plasmas

My PhD from the University of Texas at Austin was on the effects of microscopic kinetic effects in turbulent plasmas, relying on analytical and numerical simulations. In the last three years I have enriched my experience by working on environmental data science with the focus on extreme events. Throughout my career I have been involved in various subjects including statistics and nonlinear dynamics.

Originally I come from a small country, nestled in Caucasus. Growing up in a diverse family, I have always enjoyed and appreciated multicultural settings.

news

Nov 5, 2024 Good news! Project STRIDE was awarded 5M CPU and 16k GPU hours by the Flemish Supercomputer Center, funded by the Research Foundation Flanders (FWO) and the Flemish Government – department EWI.
Sep 1, 2024 FWO Project HELIOSKILL is looking for (2+1 year) postdoc(s)
Jul 3, 2024 I am pleased to announce that I started a position of Project Manager of Automatics of SpAce exPloration (ASAP).
Nov 1, 2023 Excited to move to Leuven, Belgium to work with Prof. Giovanni Lapenta.
Apr 10, 2023 CNRS promotes our PRF paper

selected publications

2023

  1. Scandinavia_3.5.png
    Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
    George Miloshevich, Bastien Cozian, Patrice Abry, Pierre Borgnat, and Freddy Bouchet
    Phys. Rev. Fluids, Apr 2023

2021

  1. R14BVortex.png
    Inverse cascade and magnetic vortices in kinetic Alfvén-wave turbulence
    G. Miloshevich, D. Laveder, T. Passot, and P. L. Sulem
    Journal of Plasma Physics, Apr 2021