George Miloshevich
KU Leuven. Centre for mathematical Plasma-Astrophysics, Belgium
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. |
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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 |