Symposium on Human-AI Collaboration
Abstract: As telecommunications evolves into the backbone of global digital transformation, the integration of Generative AI stands at the forefront of this revolution. In this talk, we will explore how TelecomGPT redefines the way we approach intelligent connectivity. From enhancing customer service to optimizing network performance, Generative AI is bridging the gap between vast datasets and actionable insights. We will address in particular the broader implications of Generative AI in telecommunications, from transforming operational efficiency to enabling the 6G era of distributed, low-latency AI.
Bio: Mérouane Debbah is Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 50 IEEE best paper awards) for his contributions to both fields and according to research.com is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, an AIIA Fellow and a Membre émérite SEE. He is actually chair of the IEEE Large Generative AI Models in Telecom (GenAINet) Emerging Technology Initiative and a member of the Marconi Prize Selection Advisory Committee.
Abstract: Connected and autonomous vehicles (CAVs) are set to transform mobility, driven by advancements in AI, perception, and control systems. While automation enables safer and more efficient navigation, true integration requires socially intelligent design. AI-powered decision-making, V2X communication, and predictive behaviors allow CAVs to negotiate complex traffic scenarios, optimize pedestrian interactions, and enhance road safety.
This talk explores recent advancements in CAVs and the challenges of seamless human-vehicle interaction. Through real-world use cases and mixed-reality simulations, we highlight how AI can bridge the gap between automation and social intelligence, ensuring widespread adoption and public trust in future mobility systems.
Bio: Abdeljalil Abbas-Turki is a Full Professor at the CIAD Laboratory and Head of the Computer Science Department at the University of Technology of Belfort-Montbéliard (UTBM). His research focuses on Intelligent Transportation Systems (ITS), aiming to integrate cutting-edge technologies to enhance transportation efficiency, safety, and sustainability. His work contributes to the development of smart mobility solutions, particularly in connected and autonomous/semi-autonomous vehicles and intelligent infrastructure. Actively collaborating with industry and academic partners, he applies his research to real-world transportation challenges. He notably led the X.icars demonstration at the ITS World Congress 2015, where three connected autonomous vehicles successfully navigated an eight-shaped circuit. Currently, he heads Project X.Hub, which focuses on designing an autonomous tractor for semi-trailers, paving the way for sustainable and automated warehouse logistics.