Mr. Muhammad Rafid

Muhammad Rafid earned his B.Sc. in Electrical Engineering from the University of Science and Technology, Bannu, in 2019, followed by an M.S. in Electrical Engineering from the National University of Sciences and Technology (NUST), Islamabad, in 2022. His thesis focused on solving the Controller Selection Problem (CSP) in software-defined vehicular networks (SDVNs) using a machine learning approach, with emphasis on CR-VANETs, V2X communication, and AI-enabled wireless systems. His current research focuses on enabling self-managed and resilient cloud-to-edge infrastructures in 6G networks through intelligent, decentralized orchestration.