After two years of preparatory classes in France and 3 years of engineering school, Matthieu DE MARI obtained his MSc in Centrale Marseille, in 2011. The same year, he also achieved a Research MSc with Aix-Marseille University, on “Applied Optics, Photonics, Signal and Image Theory”.
From 2009 to 2011, he worked on several radio projects and internships with industries (Safran Group and NEC Technologies), as well as laboratories (Large Networks and Systems Group (LANEAS)).
In 2011, he joins Large Networks and Systems Group (LANEAS) and CEA-Leti, and starts working on his PhD, under the supervision of Merouane Debbah and Emilio Calvanese Strinati, on the topic “Radio Resource Management for Green Wireless Networks”. He obtains the PhD degree in June 2015.
Since June 2016, he works on a post-doc with the WDNS group at the Singapore University of Technology and Design, where he is also teaching classes about Mathematical Optimization and Artificial Intelligence.
Research interests: Mathematical Tools for Wireless Networks, Proactive and Green Networks, Interference-Aware Resource Allocation
- Game Theory and Mean Field Game Theory
- Matching Theory
- 5G and 6G Proactive Networks
- Interference Classification, Management and Suppression Techniques
- Green Networks
- Machine Learning and Deep Learning
- Reinforcement learning for proactive optimization
My Google Scholar: https://scholar.google.fr/citations?user=LpdIrscAAAAJ
My LinkedIn Profile Page: https://fr.linkedin.com/in/matthieu-de-mari-03296a32