PhD

Model-based learning for high-dimensional wireless systems

Defended January 2026, INSA Rennes · Manuscript (PDF) · Defense slides · theses.fr

My PhD work focused on bridging model-based methods (signal processing) and learning methods (machine learning) through the model-based machine learning paradigm, applied to wireless communication problems.

The thesis was funded by Mitsubishi Electric R&D Centre Europe (MERCE) and supervised by Luc Le Magoarou, Vincent Corlay and Matthieu Crussière.