Program

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Program at a Glance

Our Keynote & Tutorial Speakers

Intelligent Wireless Networking Using Pervasive AI

09:00AM - 10:00AM by Prof. Mohsen Guizani from Mohamed Bin Zayed University of Artificial Intelligence, UAE

Abstract: Artificial Intelligence (AI) has been growing rapidly as being used in many applications. It is a great tool that can be used to reach the right decision for emerging applications. With this, it brings many challenges, such as energy fairness, security and efficiency. This talk reviews current efforts in using AI to mitigate some of these challenges and discusses applications and research activities that contribute to these efforts.

VisionX: Semantic Communication Meets System2 ML

01:30PM - 02:30PM by Prof. Mehdi Bennis from University of Oulu, Finland

Abstract: This keynote talk will first provide a brief introduction of VisionX sitting at the intersection of machine learning and communication. Then, it presents recent results in semantics-native communication and learning communication protocols from data.

Towards Extreme Band Communications to Super-Connect the Connected and to Connect the Unconnected

09:00AM - 10:00AM by Prof. Mohamed-Slim Alouini from King Abdullah University of Science and Technology, KSA

Abstract: A rapid increase in the use of wireless services over the last few decades has led to the problem of radio-frequency (RF) spectrum exhaustion. This talk goes over the potential offered by extreme band communication (XB-Com) systems to relieve spectrum scarcity and summarizes some of the challenges and on-going activities in this area.

Massive Spatial Multiplexing: When the Near-Field Becomes Far-Reaching

01:30PM - 02:30PM by Prof. Emil Björnson from KTH Royal Institute of Technology

Abstract: Multi-antenna communication technology can, in theory, provide great bit rates through spatial multiplexing. This keynote revisits the fundamentals of multiple-input multiple-output (MIMO) communications and explores new features that arise when operating in the near field, potentially unlocking massive spatial multiplexing for future networks.