Mehdi Hassani
“Mehdi Hassani is a Doctoral Candidate at EURECOM within the 6G-TERRAIN Marie Skłodowska-Curie Doctoral Network. His PhD research focuses on enhancing semantic understanding and feasibility assessment in intent-based management systems, aiming to develop intelligent mechanisms for autonomous network management in 6G. His work leverages Large Language Models (LLMs), Semantic Role Labeling (SRL), and Knowledge Graphs (KGs) to improve semantic validation and conflict detection, combined with time-series prediction and reinforcement learning for feasibility assessment and resource optimization in AI-native networks.
Mehdi holds a State Engineering Degree in Computer Science, specializing in Computer Systems, from the Higher National School of Computer Science (ESI Algiers), Algeria’s leading ICT engineering institution. Prior to joining the 6G-TERRAIN network, he worked as an IT Solutions and Network Specialist at Sonatrach, contributing to large-scale system and network infrastructure management. He also completed a research internship at EURECOM, where he explored Explainable AI (XAI) and Machine Reasoning for intelligent resource management in 6G networks.
His main research interests include AI-driven network automation, semantic reasoning, cybersecurity, and machine learning for network intelligence.