Research activities

Note

Hello world! I am Lilian Besson, a young professor of Computer Science at Lycée Kléber in « Classes Préparatoires » (CPGE, class of MP2I). A quick resumé: I hold a PhD diploma from Inria and Supélec Rennes since 2019, in Telecommunications and Machine Learning, and degrees from the CentraleSupélec engineering school and also I was a « normalien » student in maths & computer science, from ENS Cachan. I am a passionate programmer, open-source enthusiast and I did research for my PhD thesis, in machine learning, learning theory and cognitive radio. Sometimes, I also like to cook at home, bike or hike. (nerd alert) I’m a passionate player of Magic: the Gathering since (way too long) some time (way too long), and now I’m also proud to be an active official Judge (thanks to IJP + JA), judging small and semi-large events in Strasbourg since a 2023.

Welcome to my rusty website, which is kinda rusty but which I enjoy having online uninterruptly since 2012!

Links: OrcidarXivDBLPIdHALGoogle ScholarHALtoolsList of the PDF of my articles

PhD thesis (2016-19)

For my Ph.D., my research is in applied machine learning, focused on low-cost online learning algorithm with limited feedback (bandit feedback), mainly applied to cognitive radio problems for Opportunistic Spectrum Access and setting up reliable network access protocol for the future Internet of Things networks. By studying and applying classical and recent Multi-Armed Bandit algorithms to carefully designed radio models, we are able to prove some performance guarantees, both numerically in simulations and theoretically with statistical proofs.

I defended on the 20th of November 2019. I now hold a PhD in telecommunications. My PhD thesis is here and the slides used for my defense are there.

Publications list

Published works :

Submitted work:

Works that need more writing, still in progress for a new submission:


2nd research M.Sc. (2015-16)

I also worked on 6 small research projects, all published on my bitbucket, open-source under the MIT license.

For the 1st trimester (Fall 2015):

For the 2nd trimester (Spring 2016):

2nd M.Sc. research internship (2016)

I was working in the BIG/LIB research team, at EPFL (in Lausanne, Switzerland), on convolution operators and steerable operators (amongst other topics)!

  • Theme:

    theoritical functional analysis, applied to inverse optimization problem, mainly appearing in medical imaging.

  • Duration:

    april 2016 to August 2016 (research internship in applied mathematics);

  • Locations:

    Lausanne, Switzerland.

  • Rapport:

    Check out the git repository for my internship (cf. my Master thesis) !

1st MSc research internship (2013)

BSc internship (2012)

  • Title:

    « Finite volumes method on nVidia graphic cards, applied to solve the compressible Euler problem »;

  • Supervisor:

    Pr. Florian de Vuyst;

  • Description:

    Math internship at CMLA (Centre des mathématiques et de leurs applications, ÉNS de Cachan math lab research), 5 months (February 2012 to July 2012).

  • Abstract:

    General study of numerical solvers for differential equations and partial differential equations. Liner solver, first and second order, 1 2 and 3 D, with the VFFC method. Numerical simulation, sequential using :C: and VTK, and parallel using nVidia CUDA. Interactive 2D simulation with openGL.

  • Published:

    On my web page, the bachelor thesis, in French.