About
Farshad Shams is a Researcher at the French National Center for Scientific Research (CNRS), affiliated with the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec, Paris, France. He holds a Ph.D. from IMT School for Advanced Studies Lucca, Italy (2012). His research focuses on resource allocation techniques for wireless networks, software-defined radio, and fog computing. He leads the REDESIGN project (Marie Skłodowska-Curie Actions H2020-MSCA-IF-2017), aiming to develop distributed, self-adaptable wireless fog networks for IoT applications. His work integrates reconfigurable intelligent surfaces (RIS) and deep learning to enhance energy efficiency and service latency.
Research contributions include overhead-aware resource allocation frameworks, bi-objective optimization of energy and spectral efficiency, and game-theoretic approaches for resource management. He has published in top-tier journals like IEEE Transactions on Wireless Communications.
Outreach activities include participation in EU Research Nights and training in entrepreneurship, patenting, and scientific writing. His current focus extends to 6G wireless technologies, smart cities, and sustainable network design.
