Omar Kahol

I graduated in Aeronautical Engineering at Politecnico di Milano with a specialization in aerodynamics and having completed an experimental thesis on ionic thrusters.

Additionally, I took part in the XVII cycle Alta Scuola Politecnica which is a multisciplinary double degree that completes the master track with horizontal skills such as innovation management, decision making and communication.

I am currently working at INRIA as a double PhD student affiliated with the Marie Skłodowska-Curie Actions doctoral network TRACES. Throughout my PhD, I have mastered many topics in Machine Learning and Data Analysis.

Thanks to my education, my expertise lies at the intersection between classical engineering (experimental methods and numerical techniques) and Machine Learning (surrogate modeling and uncertainty quantification). My main skill is the ability to learn new skills, which I developed by working in multidisciplinary teams and projects from different fields.

I’m a hiking enthusiast, a passion passed down from my grandfathers and rooted in the beautiful Friuli region where I was born. In 2024 I was among the founders of the project Rando Cité, founded by Cité Internationale Universitaire de Paris. The goal of the project was to promote hiking in the region of Ile-de-France and an active life style. We organise free hikes during weekends.

selected publications

Scaling relations for the geometry of wire-to-airfoil atmospheric ionic thrusters

Omar Kahol , Marco Belan , Mattia Pacchiani , and 1 more author

Journal of Electrostatics, 2023

Bib

@article{Kahol2023,
  title = {Scaling relations for the geometry of wire-to-airfoil atmospheric ionic thrusters},
  journal = {Journal of Electrostatics},
  volume = {123},
  pages = {103815},
  year = {2023},
  issn = {0304-3886},
  doi = {https://doi.org/10.1016/j.elstat.2023.103815},
  url = {https://www.sciencedirect.com/science/article/pii/S0304388623000244},
  author = {Kahol, Omar and Belan, Marco and Pacchiani, Mattia and Montenero, Domenico},
}