Committed to connecting the world

ITU Journal Webinars Series

The ITU Journal launched its new series of webinars to present insights and forward-looking research on future and evolving technologies. The webinars of this series feature industry leaders and highly cited professors who will share their pioneering studies and visions, as well as their impactful life lessons learned over the years.

The webinars are open to anyone interested in the topics, free of charge. More information, including registration, is available on each event's website.
[Invitation letter]

Watch the recordings and subscribe to the ITU Journal Webinars Series playlist on YouTube: WATCH ALL WEBINARS

13 May 2025

This talk explored the deployment of Non-Terrestrial Networks (NTN) in global communication systems, focusing on millimeter wave opportunities, related challenges, and design choices. It also covered optimization approaches like computation offloading and Internet-of-Things scenarios.

20 May 2025

The price of distributed machine learning

This webinar will examine the potential risks of Reconfigurable Intelligent Surfaces (RISs) in wireless communication if not properly controlled, including accidental or intentional harm, such as pilot contamination and malicious hijacking.

10 June 2025

This webinar challenges the idea that AI must be massive to be powerful. It introduces the Expressive Neural Network (ENN) that uses the Discrete Cosine Transform (DCT) for better efficiency and smaller models, reducing both energy consumption and computational costs. It will discuss how ENNs can improve edge computing and highlight the importance of expressiveness over size in the future of neural networks.

17 June 2025

This talk will explore solutions to enhance reliability and efficiency in AI-driven telecom networks, addressing the risks of AI black boxes and high resource demands. Key topics include pre-deployment calibration, real-time failure monitoring, semi-supervised learning, and energy-efficient neuromorphic computing.

24 June 2025

This webinar introduces MX-AI, a modular ecosystem designed to enhance intelligent RAN automation across diverse networks. It offers a cloud-native platform for seamless integration and deployment of various applications and AI agents, adhering to 3GPP and O-RAN standards. Key features include intent-driven RAN automation, a configuration recommendation system, and reusable xApps/rApps and AI agents.

Past webinars - I

Machine learning at the wireless edge
H. Vincent Poor, Princeton University, USA
Edge AI networks: Challenges and opportunities
Mérouane Debbah, CentraleSupélec and TII, France and UAE
Information and communication theory with biochemical and molecular components for biological sensing and control
Massimiliano Pierobon, University of Nebraska-Lincoln, USA
6G and the metaverse will power a holographic society
Mischa Dohler, Ericsson Inc., USA
Semantic communications: Transmitting beyond bits
Zhijin Qin, Queen Mary University of London, UK
Ultrabroadband communication and networking solutions to unleash the Terahertz Band
Josep Miquel Jornet, Northeastern University, USA
The journey from 5G to 6G: Toward a well-being society
Naoki Tani, NTT DOCOMO, Japan
AI, machine learning RAN intelligent controller for 6G
Alex Jinsung Choi, O-RAN Alliance, Germany
Transformation in the 5G era
Alex Sinclair, GSMA, United Kingdom
A peek into the deep convergence towards 6G
Chih-Lin I, China Mobile Research Institute, China
Wireless networking, security, and sensing above 100 GHz
Edward W. Knightly, Rice University, USA
AI-EDGE: Designing future XG networks and distributed intelligence
Ness B. Shroff, The Ohio State University, USA
Deviation from the standard - Toward opening up 5G telecommunications
Muriel Médard, Massachusetts Institute of Technology, USA
Disrupting NextG
Andrea J. Goldsmith, Princeton University, USA
Creating the foundation for 6G: Laying the groundwork for the network of the future
Nishant Batra, Nokia USA
Aimed at transformation: Telecom network technology development
Wang Xiaoyun, China Mobile, China
Unlocking new capacity in 6G cellular systems via site-specific ML-aided design
Jeffrey Andrews, The University of Texas at Austin, USA
Waste Figure (W): A figure of merit for the power-efficient ("green") engineering of any device or cascade of circuits and systems
Theodore Rappaport, New York University, USA

Past webinars - II

Decoding hidden worlds: Unprecedented sensing and connectivity for climate, robotics and smart environments
Fadel Adib, Massachusetts Institute of Technology, USA
Pushing the limit of mobile sensing: Smart healthcare in the age of AIoT
Qian Zhang, Hong Kong University of Science and Technology (HKUST), Hong Kong, China
The evolution of the Un-carrier Network
Ulf Ewaldsson, T-Mobile, USA
Transparency, privacy and performance: The AI dark triad of next generation Internet
Silvia Giordano, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Switzerland
The price of distributed machine learning
Carla Fabiana Chiasserini, Politecnico di Torino, Italy
Semantics-native communication and protocol learning in the 6G era
Mehdi Bennis, University of Oulu, Finland
Empowering the edge: Unleashing the power of generative AI for local data processing
Albert Y. Zomaya, University of Sydney, Australia
Network virtualization: The past, the present and moving forward
Raouf Boutaba, University of Waterloo, Canada
NetRobiCS: Exploring advantages, challenges and perspectives of networked robotics and communication systems
Enrico Natalizio, Technology Innovation Institute, UAE & Université de Lorraine, France
Wireless systems at the intersection of physical and digital time
Petar Popovski, Aalborg University, Denmark
Engineering synthetic organelles and their communication networks to control cell fates
Christopher Contag, Michigan State University & Stanford University School of Medicine, USA
Open6G: Orchestration, conflict management, and explainability in AI-powered next G wireless systems
Tomasso Melodia, Northeastern University, USA
Learned task-oriented compression for 6G
Elza Erkip, New York University, USA
Terahertz beam engineering: A new quality productive force
Chong Han, Shanghai Jiao Tong University, China
Internet of Everything (IoE): From molecules to the universe
Özgür B. Akan, University of Cambridge, UK