My research

I completed my Ph.D. in mathematics and signal processing at the Signals and Systems Laboratory (L2S) at CentraleSupélec, Paris-Saclay University, France, in 2024, funded by Avantix. My research focuses on artificial intelligence (optimal transport, unsupervised approaches, deep learning, etc.) applied to signal and image processing, with a specialization in electronic warfare for military applications. During my Ph.D., my research concentrated on integrating artificial intelligence into radar signal processing. Specifically, I developed two unsupervised approaches (HACOT and IHACOT) using optimal transport distances to deinterleave signals containing pulses from an unknown number of emitters. Later, I employed the optimal transport distance framework to create an algorithm (IDOT) that distinguishes and identifies emitters by referencing a comprehensive database that considers the missing pulses.

Recently, I joined the CS Research Lab at CS (a Sopra Steria company), where my research primarily continues to explore related themes. I also manage communications, defining and implementing the Lab’s internal and external communications strategy, creating scientific and institutional content, coordinating press relations, and overseeing the Lab’s digital presence.

Research and personnal commitment

I am actively committed to women’s rights and against harassment and discrimination of doctoral students, I served as a doctoral student representative within my doctoral school, a commitment I continue even after the end of my thesis. I continue to defend the interests of doctoral students by supporting them in reporting harassment situations and working to recognize their rights better. I also remain very involved within the L2S through the Equality-parity committee, with which I continue to collaborate and develop numerous projects in line with my personal beliefs. This commitment also continues through the association « Elles Bougent, » where, as a sponsor, I help promote research among women.