Affiliate: ENSIAS, Mohammed V University in Rabat, Morocco
Title of presentation : AI-enabled Resource Management for Next-Generation Networks
Abstract.
5G and beyond 5G/6G are poised to shape the future economic growth across multiple vertical industries by providing the necessary network infrastructure to fuel innovation and create new economic models. They enable a wide spectrum of services, including higher data rates, ultra-low latency, and high reliability. To fulfill their promises, 5G and beyond 5G/6G rely on advanced artificial intelligence techniques and game theory to ensure optimal resource management. In this presentation, we will discuss resource management challenges in an SDN network and highlight the use of federated learning algorithms to ensure efficient resource management.
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Short Biography:
Dr. Abdellatif KOBBANE is currently serving as a Full Professor at the Ecole Nationale Supérieure d’Informatique et d’Analyse des Systèmes (ENSIAS), Mohammed V University in Rabat, Morocco, since 2009. , jointly awarded by Mohammed V-Agdal University (Morocco) and the University of Avignon (France). He previously received a Master of Science in Computer Science, Telecommunication, and Multimedia from Mohammed V-Agdal University in 2003. Additionally, Dr. Kobbane holds the position of Adjunct Professor at the L2TI laboratory, Paris 13 University, France.
His research interests primarily revolve around wireless mobile networking, performance evaluation, flexible resource management, and distributed AI in 5G/6G networks utilizing AI and advanced techniques in distributed mean-field game theory. He is the author of numerous scientific publications in prestigious IEEE conferences and journals such as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…
Dr. Kobbane’s research also delves into the application of artificial intelligence , Generative AI mean-field game theory in modeling and evaluating the performance of various systems, including Digital Twins and Internet of Things, SDN and NFV, Use cases of 5G networks, flexible resource management in wireless mobile networks, emerging technologies, Blockchain, Trust and cybersecurity issues, Mobile cloud computing, Mobile Social networks, Caching and backhaul problems, Heterogeneous networks, 6G, and Future networks. He is the author of numerous scientific publications in prestigious IEEE conferences and journals such as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…
Dr. Kobbane’s research extends beyond technical domains, aiming to apply AI and Generative AI to address real-world challenges in various fields, including: Agriculture, Healthcare, Natural resource management (water, energy, climate change), Societal well-being,…
Furthermore, Dr. Kobbane He actively participates in the research community and holds the distinction of being a Senior Member of ComSoc IEEE, an Ex-Chair of the IEEE Communication Software Technical Committee, and the Ex-President and Founder of the Association of Research in Mobile Wireless Networks and Embedded Systems (MobiTic) in Morocco. He is also the founder of the WINCOM conference and has previously served as the responsible for the Master (MS) of Internet of Things and Mobile Services (IOSM).
Publication Topics:
- AI for Resource Management in Wireless Mobile Networks
- Federate learning for Internet of Things (IoT)
- AI of Software-Defined Networks (SDN) and Cognitive Radio
- 5G Network and Beyond
- Mobile Computing and Mobile Social Networks
- Caching and Backhaul Problem
- Future Network Technologies
- Trust and cybersecurity