Summary
Anastasios Giovanidis is a Master Researcher in AI based in Paris with eight years of experience bridging rigorous mathematical modeling and practical data-driven validation for networks, particularly telecom and social platforms. He combines deep expertise in probabilistic modeling, optimization, and machine learning with hands-on AI research for 6G at Ericsson, focusing on reinforcement learning, generative AI, scheduling, mobility handovers and energy-efficient layer 2/3 solutions. As a long-standing CNRS researcher and former lecturer at Sorbonne and Télécom ParisTech, he has led funded projects, supervised PhD students, produced patents and top-tier publications while teaching applied courses and developing open course materials. Beyond telecom, his work on influencer ranking, network inference, edge caching and recommendation MDPs shows a rare ability to translate theory into deployable algorithms across diverse networked systems.
7 years of coding experience
9 years of employment as a software developer
Dr.-Ing., Mobile Communications - Information Theory, Dr.-Ing., Mobile Communications - Information Theory at Technische Universität Berlin
Dipl.-Ing., Electrical Engineering and Computer Science, Dipl.-Ing., Electrical Engineering and Computer Science at National Technical University of Athens
English, German, Greek, French