I am a PhD candidate in Computer Science at the STIC Doctoral School , University of Paris-Saclay, under the supervision of Dr. Luc Bouganim and Professor Philippe Pucheral. I am a member of the PETRUS Team at Inria Saclay and the DAVID Lab at the University of Versailles Saint-Quentin-en-Yvelines.
Specializing in the recognition of indoor Activities of Daily Living (ADL) from the traces of binary sensors, I am particularly interested in the challenges of applying Machine Learning techniques to build end-to-end accurate recognition systems.
Doctor of Philosophy (Ph.D.), Computer Science
March 2023 - March 2026
Applications of Machine Learning on Secure IoT Traces for Human Daily-Activity Recognition
Master's degree, Data Science
September 2019 - July 2021
Math, Statistical Machine Learning, Graph Mining, Digital Imagery, Computer Vision, Deep Learning, Programming Languages, and Economic & Social Sciences
Master's degree, Telecommunications Engineering
2017 - 2019
Math, Networking, Electronics, Signal Transmission & Processing, Embedded Systems, Databases, and Programming Languages
CPGE, Math, Physics
2015 - 2017
Preparatory class for the French Grandes Ecoles system. Math, Physics, STI (Sciences et Techniques de l'Ingénieur), and Programming Languages
PETRUS Team, Univ. de Versailles/St-Q.,
Bât. Buffon,
45 av. des Etats-Unis,
78035 Versailles Cedex, France