Panels Welcome to the 6G Summit, Abu Dhabi, UAE
16-17 November 2023
Venue : ROSEWOOD Hotel Abu Dhabi
PAN I: Advancing Next-Generation Telecom Networks through Large Language Models
Moderator: Lina Bariah, Senior Researcher at Technology Innovation Institute, UAE
  • 1. Luigi Ardito, Senior Director, Government Affairs, Qualcomm, Italy
  • 2. Merouane Debbah, Professor at Khalifa University, UAE
  • 3. Honggang Zhang, Professor at Zhejiang University, China
  • 4. Samson Lasaulce, Director of Research at CNRS, France
  • 5. Wen Tong, CTO, Huawei Wireless, Canada
Abstract: The accelerated development of large language models (LLMs) in various domains is driven by the captivating capabilities of these models in content generation, analysis, and comprehension, which enabled them to introduce revolutionary changes in several general-domain applications. Within the context of wireless networks, these cutting-edge models hold the key to unleashing a new era of self-driven wireless networks, which are a main pillar in 6G. By leveraging the power of LLMs, we can revolutionize how wireless networks are designed, built, configured, optimized, and secured. This panel explores the ground-breaking possibilities that arise from integrating LLMs into wireless networks. In particular, it aims to unfold the opportunities, challenges, and future directions for leveraging these powerful language models in the realm of wireless communications. The panel will bring together experts from academia, industry, and research institutions to share their insights and experiences in utilizing LLMs to enhance wireless networks. The collective insights gained from this discussion will contribute to advancing the understanding and adoption of LLMs in revolutionizing the wireless communication infrastructure, paving the way for a smarter, more efficient, and inclusive wireless future. The panel discussion will encompass a wide range of topics, including, but are not limited to, the capabilities and potential applications of LLMs in the context of wireless networks, LLMs for network planning and optimization, LLM for network operation, scalability, energy efficiency, and regulatory aspects of Telecom LLM, and LLM-empowered edge intelligence.
  • 1. What is driving the innovation in 6G?
  • 2. What are the potential new capabilities of 6G and their respective performance indicators?
  • 3. How will AI shape the future of 6G?
  • 4. How will 6G reduce the energy consumption in wireless network while still meeting the unprecedented traffic demands?
  • 5. How will post-quantum security/cryptography of 6G be ensured and how post-quantum security will affect the performance?
Lina Bariah

Technology Innovation Institute, UAE
Luigi Ardito
Senior Director, Government Affairs
Qualcomm, Italy
Merouane Debbah

Khalifa University, UAE
Honggang Zhang

Zhejiang University, China
Samson Lasaulce

CNRS, France
Wen Tong

Huawei Wireless, Canada
Day: 2
09 Novemer 2022
PAN 2: Pioneering Cyber Defense with AI: A Technical Examination of B5G and IoT Security.
Moderator: Bassem OUNI, Technology Innovation Institute, UAE.
  • 1. Muhammad Shafique, Professor, NYU Abu Dhabi, UAE.
  • 2. Professor Ernesto Damiani, Professor, Khalifa University, UAE.
  • 3. Ayman Al Issa, Industrial Cybersecurity Lead and Senior Expert at McKinsey & Company, UAE.
  • 4. Jean-Pierre Giacalone, Technology Innovation Institute, UAE.

Abstract: In the context of burgeoning 5G networks and the IoT revolution, securing our digital landscape against sophisticated cyber threats is paramount. This necessitates a deep understanding of these technologies and the corresponding threats. To this end, this panel seeks to bring together experts in AI, network technology, and cybersecurity to delve into the technical intricacies of securing 5G and IoT ecosystems, as well as the deployment of AI, notably large language models, for proactive threat detection and mitigation. This panel seeks to navigate these technical complexities, offering insights into the potential vulnerabilities of 5G and IoT networks, the nature of the cyber threats they face, and the use of AI for proactive defense. The emphasis is on how AI, particularly large language models, can learn from large datasets of security incidents, detect patterns, and predict possible threats, contributing to a robust defense mechanism against evolving cyber threats. The ultimate goal is to enhance network security and foster resilience in our increasingly interconnected world.

Dr. Bassem OUNI
Technology Innovation Institute
Muhammad Shafique
Professor, NYU Abu Dhabi.
Ernesto Damiani
Professor, Khalifa University
Ayman Al Issa
Industrial Cybersecurity Lead and Senior Expert at McKinsey & Company
Jean-Pierre Giacalone
Technology Innovation Institute
Actionable AI: A Corner Stone for a General AI.
Moderator: Dr. Hakim Hacid
Technology Innovation Institute, UAE
  • 1. Alex Myakov, Intel, UAE
  • 2. Karthik Koutharapu, Injazat, UAE
  • 3. Inkyu Lee, Korea University, Korea
  • 4. James Aguas, Amazon, UAE
Abstract: Actionable AI refers to the application of artificial intelligence and machine learning technologies to generate insights and recommendations that can be directly implemented or acted upon to achieve specific outcomes or improvements. In other words, it's about using AI to provide actionable and practical solutions to real-world problems. The main difference actionable AI brings to the table is its ability to go beyond simply providing information or analysis and to deliver concrete suggestions, predictions, or automated actions that can be put into effect to drive positive results. The insights derived from actionable AI should be specific, relevant, and directly applicable to the context in which they are used.

Different application areas are in real need of an actionable AI. These include, but not limited to, (i) Sales and Marketing, Healthcare, Finance, Supply chain management, defense, etc. Actionable AI plays a crucial role in helping organizations make data-driven decisions and take proactive measures to enhance their performance and outcomes. By providing actionable insights and recommendations, AI becomes a valuable tool for driving positive changes across various industries and sectors. Finally, linking actionable AI systems to real world cyber or physical systems should bring another level of automation and support, allowing humans to focus on innovation and more value-added tasks. We believe that Actionable AI is the next natural step and a cornerstone towards general AI. This panel will discuss the principles, opportunities, and requirements of an efficient and useful Actionable AI.
Dr Hakim Hacid

Technology Innovation Institute, UAE
Alexey Myakov

Intel, UAE
Karthik Koutharapu,

Core42 (Injazat), UAE
Inkyu Lee

Korea University, Korea
Day: 3
10 Novemer 2022
PAN 4: Sustainable Networking & Impact of 6G on Climate Change
Moderator: Jamal Alsawalhi, Assistant Professor at Khalifa University, UAE
  • 1. Riku Jantti, Professor at Aalto University, Finland
  • 2. Brahim Ghribi, Head of Government Affairs MEA at Nokia, UAE
  • 3. Ignacio Astilleros, Account Director Telecommunications at Intel, UAE
  • 4. Felix Vega, Senior Director at Technology Innovation Institute, UAE
Abstract: Climate change poses an existential challenge to humanity. Enormous efforts are taking place worldwide and, on many fronts, to incorporate different possible solutions to limit the average global rise in temperature to below 1.5 degree Celsius by the end of this century. The communication sector has been a key player in these efforts as it enabled many key technologies related to smart grids, renewables and self-driving vehicles. With respect to wireless communication technologies, six-generation wireless commination or shortly 6G is expected to revolutionize communication due to its capability of enabling very fast-communication and very low latency. Some predictions expect that the infrastructure and technology needed to implement 6G wireless communication will be ready 2030. In this session, we aim to explore and shed more light on the potential that 6G will play in limiting greenhouse gases emissions, and what new playing cards does it bring to the table compared to the previous 5G technology
  • 1. What are the major security risks affecting 6G enabled application domains?
  • 2. Are traditional encryption techniques still constitute viable techniques applicable to 6G networks?
  • 3. What opportunities does Blockchain bring forward to secure 6G technologies and related
  • 4. Will an insecure 6G networking technology be able to deliver the promised disrupting technologies successfully.
  • 5. What new insurance and opportunities will provide a well-secured 6G Networking technology?
Jamal Alsawalhi
Khalifa University
Riku Jantti
Aalto University
Brahim Ghribi
Ignacio Astilleros
Felix Vega
Technology Innovation Institute