Prof. Maziar Nekovee
School of Engineering and Informatics, University of Sussex, UK
This lecture explores the application of AI and data science in 5G and upcoming 6G communication networks. It covers the adoption of machine learning in mobile systems, the potential of generative AI and AI agents for self-adaptive networks, as well as existing technical challenges and promising new research directions in this interdisciplinary field.
Abstract 摘要
Current and future communication networks, including 5G and 6G, are becoming increasingly complex, dynamic and data-rich, creating exciting new opportunities for AI and data science. This talk will provide an accessible overview of how machine learning and AI are already being used in today’s mobile networks and how these technologies could transform emerging 6G systems. Looking beyond conventional network optimization, I will discuss the growing role of generative AI, AI agents and intent-driven automation in enabling networks that can learn, reason, predict and autonomously adapt to changing conditions and user needs. I will also highlight open challenges in areas such as data quality and availability, trustworthy and explainable AI, real-time decision-making and autonomous systems. The talk will conclude by identifying emerging research opportunities at the intersection of data science, AI and future communication networks.
Speaker Biography 讲者简介
Professor Maziar Nekovee is Chair of Future Networks and Applied AI at the University of Sussex UK, where he leads research on 5G/6G, applied AI and intelligent connected systems. His research spans communications, AI, computational science and statistical modelling. He obtained his PhD (in Physics) and MEng degree (in Electrical and Electronic Engineering) from the Netherlands. This was followed by Research Fellowships at Imperial College and Queen Mary College, London. Before joining academia as a Full Professor in 2017, he held R&D leadership roles at Samsung and BT (British Telecom). While at BT, he was the recipient of a Royal Society (UK Academy of Science) Industry Fellowship, collaborating with academic researchers in the UK and internationally in communications engineering, computational and statistical sciences. At the University of Sussex, he has served as Head of Department of Engineering and Design and as founding Dean of the Sussex-Zhejiang Gongshang University Joint Institute for Artificial Intelligence. He has authored more than 200 publications, a book on cognitive radio communications, and numerous patents; his research has received just under 10000 citations and covers communication networks, AI, computational modelling and complex systems.
Topics 涉及主题
Generative AI and intent-driven network automation Trustworthy and explainable AI for communications New research frontiers for 6G networks