6G SUMMIT 2023

PAN I: Advancing Next-Generation Telecom Networks through Large Language Models

Moderator: Lina Bariah, Senior Researcher at Technology Innovation Institute, UAE

Panelists

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.

Panelists

Lina Bariah

Technology Innovation Institute, UAE

Luigi Ardito

Senior Director, Government Affairs
Qualcomm, Italy

Merouane Debbah

Khalifa University, UAE

Bio

Mérouane Debbah (Fellow, IEEE) received the M.Sc. and Ph.D. degrees from the Ecole Normale Supérieure Paris-Saclay, France. He is currently a Professor at Khalifa University, Abu Dhabi. He is also a Professor at Centralesupelec and an Adjunct Professor with the Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence. He was a Chief Researcher at the Technology Innovation Institute, Abu Dhabi. He was with the Motorola Laboratories, Saclay, France, from 1999 to 2002, and also with the Vienna Research Center for Telecommunications, Vienna, Austria, until 2003. From 2003 to 2007, he was an Assistant Professor with the Mobile Communications Department, Institut Eurecom, Sophia Antipolis, France. In 2007, he was appointed as a Full Professor at CentraleSupelec, Gif-sur-Yvette, France. From 2007 to 2014, he was the Director of the Alcatel-Lucent Chair on Flexible Radio. From 2014 to 2021, he was the Vice President of the Huawei France Research Center. He was jointly the Director of the Mathematical and Algorithmic Sciences Laboratory and the Director of the Lagrange Mathematical and Computing Research Center. Since 2021, he has been leading the AI & Digital Science Research Centers, Technology Innovation Institute. He has managed eight EU projects and more than 24 national and international projects. He is a fellow of WWRF, Eurasip, AAIA, and Institut Louis Bachelier, and a Membre Emerite of SEE. He was a recipient of the ERC Grant MORE (Advanced Mathematical Tools for Complex Network Engineering), from 2012 to 2017. He was a recipient of the Mario Boella Award in 2005, the IEEE Glavieux Prize Award in 2011, the Qualcomm Innovation Prize Award in 2012, the 2019 IEEE Radio Communications Committee Technical Recognition Award, and the 2020 SEE Blondel Medal.

Honggang Zhang

Zhejiang University, China

Bio

Honggang Zhang is the Chief Managing Editor of Intelligent Computing Journal, a Science Partner Journal jointly established by AAAS (American Association for the Advancement of Science) and Zhejiang Lab. He is an Adjunct Professor of College of Information Science and Electronic Engineering, Zhejiang University, China. He was an International Chair Professor, CominLabs Excellence Center, Université Européenne de Bretagne (UEB) & Supélec, France (2012-2014). He was an Honorary Visiting Professor of the University of York, UK (2010-2018). Dr. Honggang Zhang served as the Chair of the Technical Committee on Cognitive Networks (TCCN) of the IEEE Communications Society (COMSOC) during 2011-2012. He was the Co-Chair of IEEE Globecom 2008 Symposium and IEEE ICC 2013 Symposium. He was the founding TPC Co-Chair of CrownCom 2006 (International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006) and the Steering Committee Member of CrownCom 2006-2009. He was the General Co-Chair of IEEE GreenCom 2010 (The 2010 IEEE International Conference on Green Computing and Communications) and the General Co-Chair of IEEE OnlineGreenComm 2015 (The 2015 IEEE Online Conference on Green Communications). Dr. Honggang Zhang has been the Lead Guest Editor of the IEEE Communications Magazine feature topic issues on “Green Communications” (2010-2011). He was the Series Editor of IEEE Communications Magazine (Green Communications and Computing Networks Series). He is the co-editor/co-author of two books with the titles of “Cognitive Communications - Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation” (Wiley) and “Green Communications: Theoretical Fundamentals, Algorithms and Applications” (CRC Press), respectively. Dr. Honggang Zhang is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and a co-recipient of the 2021 IEEE Internet of Things Journal (IoT-J) Best Paper Award.

Samson Lasaulce

CNRS, France

Wen Tong

Huawei Wireless, Canada

PAN 2: Pioneering Cyber Defense with AI: A Technical Examination of B5G and IoT Security.

Moderator: Bassem OUNI, Technology Innovation Institute, UAE.

Panelists

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.

Panelists

Dr. Bassem OUNI

Technology Innovation Institute
UAE

Muhammad Shafique

Professor, NYU Abu Dhabi.
UAE

Biography

Muhammad Shafique (M'11 - SM'16) received the Ph.D. degree in computer science from the Karlsruhe Institute of Technology (KIT), Germany, in 2011. Afterwards, he established and led a highly recognized research group at KIT for several years as well as conducted impactful collaborative R&D activities across the globe. In Oct.2016, he joined the Institute of Computer Engineering at the Faculty of Informatics, Technische Universität Wien (TU Wien), Vienna, Austria as a Full Professor of Computer Architecture and Robust, Energy-Efficient Technologies. Since Sep.2020, Dr. Shafique is with the New York University (NYU), where he is currently a Full Professor and the director of eBrain Lab at the NYU-Abu Dhabi in UAE, and a Global Network Professor at the Tandon School of Engineering, NYU-New York City in USA. He is also a Co-PI/Investigator in multiple NYUAD Centers, including Center of Artificial Intelligence and Robotics (CAIR), Center of Cyber Security (CCS), Center for InTeractIng urban nEtworkS (CITIES), and Center for Quantum and Topological Systems (CQTS).

His research interests are in AI & machine learning hardware and system-level design, brain-inspired computing, machine learning security and privacy, quantum machine learning, cognitive autonomous systems, wearable healthcare, energy-efficient systems, robust computing, hardware security, emerging technologies, FPGAs, MPSoCs, and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT), Smart Cyber-Physical Systems (CPS), and ICT for Development (ICT4D) domains. Dr. Shafique has given several Keynotes, Invited Talks, and Tutorials, as well as organized many special sessions at premier venues. He has served as the PC Chair, General Chair, Track Chair, and PC member for several prestigious IEEE/ACM conferences. Dr. Shafique holds one U.S. patent, and has (co-)authored 6 Books, 10+ Book Chapters, 350+ papers in premier journals and conferences, and 100+ archive articles. He received the 2015 ACM/SIGDA Outstanding New Faculty Award, the AI 2000 Chip Technology Most Influential Scholar Award in 2020 and 2022, the ASPIRE AARE Research Excellence Award in 2021, six gold medals, and several best paper awards and nominations at prestigious conferences. He is a senior member of the IEEE and IEEE Signal Processing Society (SPS), and a member of the ACM, SIGARCH, SIGDA, SIGBED, and HIPEAC.

Ernesto Damiani

Professor, Khalifa University
UAE

Ayman Al Issa

Industrial Cybersecurity Lead and Senior Expert at McKinsey & Company
UAE

Jean-Pierre Giacalone

Technology Innovation Institute
UAE

Actionable AI: A Corner Stone for a General AI.

Moderator: Dr. Hakim Hacid
Technology Innovation Institute, UAE

Panelists

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.

Panelists

Dr Hakim Hacid

Technology Innovation Institute, UAE

Alexey Myakov

Intel, UAE

Karthik Koutharapu,

Core42 (Injazat), UAE

Inkyu Lee

Korea University, Korea

Biography

Inkyu Lee received the B.S. degree (Hons.) in control and instrumentation engineering from Seoul National University, Seoul, South Korea, in 1990, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University, Stanford, CA, USA, in 1992 and 1995, respectively. From 1995 to 2002, he was a member of the Technical Staff with Bell Laboratories, Lucent Technologies, Murray Hill, NJ, USA, where he studied high-speed wireless system designs. Since 2002, he has been with Korea University, Seoul, where he is currently a Professor with the School of Electrical Engineering. He has also served as the Department Head of the School of Electrical Engineering, Korea University, from 2019 to 2021. In 2009, he was a Visiting Professor with the University of Southern California, Los Angeles, CA, USA. He has authored or coauthored more than 220 journal articles in IEEE publications and holds 30 U.S. patents granted or pending. His research interests include digital communications and signal processing techniques applied for next-generation wireless systems. He was elected as a member of the National Academy of Engineering of Korea in 2015. He was a recipient of the IT Young Engineer Award from the IEEE/IEEK Joint Award in 2006, the Best Paper Award from the IEEE Vehicular Technology Conference in 2009, the Best Research Award from the Korean Institute of Communications and Information Sciences in 2011, the Best Paper Award from the IEEE International Symposium on Intelligent Signal Processing and Communication Systems in 2013, the Best Young Engineer Award from the National Academy of Engineering of Korea in 2013, and the Korea Engineering Award from the National Research Foundation of Korea in 2017. He served as an Associate Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS from 2001 to 2011 and the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2007 to 2011. He was a Chief Guest Editor of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Special Issue on “4G wireless systems” in 2006. He also serves as the Co-Editor-in-Chief for the Journal of Communications and Networks. He is the Director of “Augmented Cognition Meta-Communication” ERC Research Center awarded from the National Research Foundation of Korea. He is a Fellow of IEEE and Distinguished Lecturer of IEEE.

PAN 4: Sustainable Networking & Impact of 6G on Climate Change

Moderator: Jamal Alsawalhi, Assistant Professor at Khalifa University, UAE

Panelists

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

Panelists

Jamal Alsawalhi

Khalifa University
UAE

Riku Jantti

Aalto University
Finland

Brahim Ghribi

Nokia
UAE

Ignacio Astilleros

Intel
UAE

Felix Vega

Technology Innovation Institute
UAE