About me

I obtained my PhD in artificial intelligence from the University of Toulouse in 2023. My thesis took place under ANITI (Artificial Natural Intelligence Toulouse Institute), supported by the Université Fédérale Toulouse Midi-Pyrénées, and was supervised by Rufin VanRullen (CerCo), Thomas Oberlin (DISC, ISAE-SUPAERO) and Didier Salle (NXP Semiconductors). During my PhD, I worked on adapting and developing deep learning algorithms (supervised and self-supervised) for scene understanding using automotive FMCW radars (target detection, classification and tracking) and artificial intelligence.

Previous, I received my Master’s degree in telecommunications and artificial intelligence from Bordeaux INP - ENSEIRB-MATMECA (Bordeaux, France) in 2020.

My areas of interest are image and signal processing, artificial intelligence and computer vision.

News

• 16/05/2024: Our paper A recurrent CNN for online object detection on raw radar frames has been accepted to IEEE Transactions on Intelligent Transportation Systems.
• 14/02/2024: A new preprint of our work Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection is available on arXiv.
• 19/12/2023: I finally defended my PhD on December 19 2023! The manuscript will be available soon.
• 25/04/2023: We released the code and an updated version of our work A recurrent CNN for online object detection on raw radar frames. The code is available here.
• 21/12/2022: A new preprint of our work A recurrent CNN for online object detection on raw radar frames is available on arXiv.
• 21/07/2022: Our paper DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps is now available. Check out the publication page!
• 06/06/2022: Our work DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps has been presented in a poster session at IEEE Intelligent Vehicles Symposium 2022 in Aachen, Germany.
• 20/04/2022: Our paper DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps was accepted to IEEE Intelligent Vehicles Symposium 2022! Check out the publication page for more information.