Keynote speech 2026

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MEET 2025
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Keynote Speech

Prof. Mohsen Guizani

Prof. Honggang ZHANG, Macau University of Science and Technology (MUST), Macau, China, IEEE Fellow

Title: Agentic AI, NetGPT, AI-RAN, and Future 6G

Abstract: Large language model (LLM)-enabled agentic AI has triggered tremendous interests to empower information generation, processing, and inference. Towards personalized generative AI agent applications, agentic cloud-edge-terminal networking collaboration is a promising approach, since it facilitates the effective ubiquitous orchestration of heterogeneous communication, computing and control resources among the widely distributed AI agents. Accordingly, rooted in LLM-based agentic AI mechanisms and models, this talk will address the cutting-edge topic on how to inject agentic AI capability into the next-generation communication & computing networks and achieve future AI-native 6G networks. Particularly, NetGPT (i.e., networked GPT) will be focused as a foundation model of all networked LLMs for end-to-end approach (cloud-network-agents). In concrete, this talk includes the following key contents: (1) agentic AI system development, networked AI agents, and NetGPT environment for 6G; (2) recent research advancement in NetGPT-based network of agents, covering MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols; (3) discussions on the vision, architecture, and key technologies of AI-RAN.

Bio: Honggang Zhang (IEEE Fellow, AAIS/AAIA Fellow) is a Full Professor with the School of Computer Science and Engineering, Macau University of Science and Technology (MUST), Macau, China. He received the Ph.D. degree from Kagoshima University, Japan, in 1999. Previously, he was a Professor with the Faculty of Data Science, City University of Macau, as well as a Professor with the College of Information Science and Electronic Engineering, Zhejiang University, China. He was an Honorary Visiting Professor with the University of York, U.K., and an International Chair Professor of Excellence with the Université Européenne de Bretagne (UEB) and Supélec, France. He has co-authored and co-edited two books: Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (Wiley) and Green Communications: Theoretical Fundamentals, Algorithms and Applications (CRC Press). His research interests include cognitive radio networks, artificial intelligence, semantic communications, green communications, intelligent computing, and Internet of Intelligence (IoI). He was a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and the 2021 IEEE Internet of Things Journal Best Paper Award. He was the leading Guest Editor for the Special Issues on Green Communications of IEEE Communications Magazine. He served as a Series Editor for IEEE Communications Magazine (Green Communications and Computing Networks Series) from 2015 to 2018 and the Chair of the Technical Committee on Cognitive Networks of IEEE Communications Society from 2011 to 2012. He was the founding Chief Managing Editor of Intelligent Computing, a Science Partner Journal (2022-2024). He is the Associate Editor-in-Chief of China Communications.
Dr. Hao Xu

Dr. Hao Xu, Vice President of Qualcomm, IEEE Fellow

Title: Shaping the Future of Mobile Connectivity with 6G and AI

Abstract: The next decade will witness a profound transformation in mobile communications as artificial intelligence and wireless technologies converge to create an intelligent, adaptive, and deeply connected digital infrastructure. Building on the foundations of 5G and 5G Advanced, 6G is emerging as a platform that will extend connectivity beyond traditional communications, enabling integrated sensing, ubiquitous intelligence, immersive experiences, digital twins, and seamless interaction across the physical, digital, and virtual worlds. In this keynote, Dr. Hao Xu, Vice President of Engineering and IEEE Fellow, will explore the vision, technology trends, and research directions shaping the path toward 6G. The presentation will examine how AI is transforming wireless system design, from channel modeling and network optimization to AI-native air interfaces and adaptive network architectures. It will highlight recent advances in wireless AI interoperability, on-device intelligence, lifecycle management of AI models, and the use of digital twins for network planning and optimization. The keynote will also discuss key long-term research vectors, including integrated communication and sensing, resilient and secure communications, new spectrum paradigms, non-terrestrial networks, and scalable edge-centric architectures. Finally, it will illustrate how 6G will unlock new opportunities across smart industries, extended reality, autonomous systems, healthcare, transportation, and human augmentation, enabling a connected intelligent edge that delivers unprecedented performance, efficiency, and user experiences for 2030 and beyond.

Bio: Dr. Xu is the Vice President of Engineering at Qualcomm and IEEE Fellow. Since 2003, he has been working at Qualcomm R&D, where he has led many research and standardization projects from 3G to 5G. His current research focus is 6G, AI and robotics. Prior to Qualcomm, he worked at Bell Lab’s Wireless Communication Research Lab. In 2003, he received the Bell-Labs President Gold Metal Award. Dr. Xu has 870+ US issued patents, numerous journal publications and over 20000 citations. In 2018, he received the Top Ten 5G Leading Figures Awards in China. He also won numerous industry awards for various 5G trials. He currently serves as the IEEE Communications Society Director of Standard Development Board, IEEE Communications Society Awards Standing Committee, and the technical advisory board for HKUST ECE department. Dr. Xu received his B.S and M.S. from Moscow Power Engineering Institute and Technical University, Russia, in 1994 and 1996. He received his Ph.D. from Virginia Tech in 2000. During his Ph.D., he pioneered the millimeter-wave propagation research at 38 GHz and 60 GHz with Dr. Rappaport. In 1999, he received the IEEE Communications Society Steve Rice Award.

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