Hello there!

I am an associate professor at CentraleSupélec (Rennes, France) in the CIDRE research team since October 2020. I did my PhD in artificial intelligence at IRIT (Toulouse, France) under the supervision of Hélène Fargier and Jérôme Mengin.


I mainly work on intrusion detection, where I apply various machine learning techniques. Here are a few recent projects:

  • Intrusion detection in IoT networks by analyzing with deep learning the raw radio communication captured with SDR (software-defined radio). Our solution can monitor wide radio bands and detect low-level attack in proprietary and undocumented protocols. PDF
  • Intrusion detection in a fleet of IoT devices without any model learning, by detecting anomalous devices by its deviation to the rest of the population (collaboration with EDF). PDF
  • Intrusion detection and explanation in avionics systems based on bigram timing analysis (collaboration with Thalès AVS). PDF

I also work on the security of formal languages and more specifically on injection attacks.

Doctoral advisor

I am currently supervising three PhD students:

  • Maxime Lanvin on unsupervised intrusion detection in networks
  • Vincent Raulin on malware dynamic analysis
  • Adrien Schoen on network packets generation for IDS evaluation

I was also involved in various PhD:


I am teaching various topics at CentraleSupélec, notably:

  • Network and security (L3)
  • Intrusion detection system (M2)
  • System programming (M1 and M2)

PC member and reviewer

Security conferences

  • DSN 2022
  • THCon 2022
  • EICC 2021
  • Doctoral Forum of DSN 2020
  • ISSRE 2020

Artificial intelligence conferences

  • AAAI 2021, 2022
  • IJCAI 2020
  • RJCIA (Rencontres des Jeunes Chercheurs en Intelligence Artificielle) 2019, 2020


  • Transactions on Computers
  • International Journal of Information Security
  • Computers & Security


Bureau 506
CentraleSupélec – Campus de Rennes
Avenue de la Boulaie
35510 Cesson-Sévigné – France