What I do
As a PhD researcher and a teaching assistant at KU Leuven, I am pursuing my passion for developing innovative solutions for gesture recognition using machine learning and signal processing. I have more than three years of experience in image and signal processing, having obtained my engineering degree from Université de Rennes I and Mohammedia school of engineers, I worked as a junior researcher at InterDigital, Inc. There, I built algorithms to prepare, process, and classify radar data for interpreting human activities. I am driven by the mission of advancing the field of human activity recognition using machine learning. I value collaboration, creativity, and curiosity, and I strive to contribute to the academic and industrial communities with my research and teaching skills.
Teaching Experience
Digital Signal Processing (B-KUL-ZA0098)
- On-edge machine learning for sound classification
- Vital signs monitoring with FMCW radar
Talks
I had the pleasure to give talks in the following conferences: