Keynote #1

Connected Intelligence: Paving the Way Towards 6G


Prof. Khaled B. Letaief

IEEE Fellow, HKIE Fellow, HKAES Fellow, NASI Fellow

New Bright Professor of Engineering and Chair Professor, HKUST, Hong Kong

Member, United States National Academy of Engineering

President, IEEE Communications Society (2018-19)


As we stand on the brink of 6G, we are witnessing major technological advancements and paradigm shifts that are propelling us into the future. 6G is poised to redefine wireless communication, promising unprecedented data rates that will exceed terabits per second, ultra-low latency of the order of microseconds to enable near-instantaneous responses, ultra-massive device connectivity exceeding 107 million devices per square kilometer to enable the Internet of Everything, and seamless integration with emerging technologies such as artificial intelligence, quantum communication, holographic communication, and augmented reality.  In particular and in contrast to previous generations, 6G will revolutionize wireless from “connected things” to “connected intelligence”, enabling interconnections between humans, things, and intelligence within a deeply intertwined and hyper-connected cyber-physical world, characterized by the integration of communications, intelligence, sensing, control, and computing.  To achieve this, 6G must overcome formidable and complex challenges that must be addressed to realize its full potential. In this talk, we begin by putting forward 6G vision with a focus on the challenges, roadmap, and opportunities.  We will then describe some of the important technologies and innovations that are needed to meet the demands of future wireless networks and guarantee broadband ubiquitous communications of all things, including human-to-machine and machine-to-machine, for a connected world.  Of particular interest is the use of artificial intelligence and machine learning for supporting connected intelligence and optimizing resource allocation problems in wireless networks.


Dr. Letaief is an internationally recognized leader in wireless communications and networks with research interest in artificial intelligence, mobile edge computing, tactile Internet, and 6G systems.  He is a Member of the United States National Academy of Engineering, Fellow of IEEE, Fellow of Hong Kong Institution of Engineers, and Member of the Hong Kong Academy of Engineering Sciences. He is also recognized by Thomson Reuters as an ISI Highly Cited Researcher with over 49,000 citations and h-index of 98 and was listed among the 2020 top 30 of AI 2000 Internet of Things Most Influential Scholars.

He is the founding Editor-in-Chief of the prestigious IEEE Transactions on Wireless Communications.  He is the recipient of many distinguished awards and honors including the 2022 IEEE Edwin Howard Armstrong Achievement Award; 2021 IEEE Technical Committee on Cognitive Networks Recognition Award; 2021 IEEE Communications Society Best Survey Paper Award; 2019 IEEE Communications Society and Information Theory Society Joint Paper Award; 2018 IEEE Signal Processing Society Young Author Best Paper Award, 2016 IEEE Marconi Prize Paper Award in Wireless Communications, 2011 IEEE Communications Society Harold Sobol Award, 2010 Purdue University Outstanding Electrical and Computer Engineer Award; and 2007 IEEE Communications Society Joseph LoCicero Publications Exemplary Award.

He is well recognized for his dedicated service to professional societies and in particular IEEE where he has served in many leadership positions.  These include the IEEE Communications Society President, the world's leading organization for communications professionals with headquarter in New York City and members in 162 countries. Since 1993, he has been with HKUST (ranked No. 20 worldwide according to the 2021 QS World’s Top Universities in Engineering & Technology) where he has held many administrative positions, including Acting Provost, Dean of Engineering, and Head of the Electronic and Computer Engineering department.  He is currently serving as member of the IEEE Board of Directors.

Dr. Letaief received the BS degree with distinction, MS and Ph.D. Degrees in Electrical Engineering from Purdue University at West Lafayette, Indiana, USA.



Keynote #2

ML Wireless Network Applications in Smart Cities 


Prof. Mohsen Guizani

Professor and IEEE Fellow

Machine Learning Department, MBZUAI, UAE


With the advancement of Internet of Things (IoT) that is transforming our society by connecting the world, future wireless services will focus on improving the quality of life by enabling various applications, such as extended reality, brain-computer interaction, and healthcare. These applications will have diverse performance requirements (e.g., user-defined quality of experience metrics, latency, and reliability) which will be challenging to be fulfilled by existing wireless systems. To meet the diverse requirements of the emerging applications, the concept of smart IoT has been recently proposed and used. An IoT using computing technologies (e.g., edge computing), security related technologies (e.g., blockchain) and machine learning, to enable smart city applications. On the other hand, federated learning (FL) has provided a private platform in many of these applications to protect the data and reduce latency. These smart services/applications rely on efficient computation and communication resources. Furthermore, being able to provide adequate services using these complex systems presents enormous challenges.  

In this talk, we present an overview of the use of AI and IoT in smart cities. Then, we showcase our research activities that will contribute to these efforts and advocate possible solutions using these models. We provide ways on how to manage the available resources intelligently and efficiently to offer better living conditions for our citizens and provide better services. Finally, we discuss some of our research results and future directions to support a variety of applications.


Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA in 1985, 1987 and 1990, respectively. He is currently a Professor of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things (IoT), intelligent autonomous systems, and cybersecurity. He became an IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Paper Awards from ICC and Globecom Conferences. He is the author of 11 books, more than 1000 publications and several US patents. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.



Keynote #3

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


Prof. Mohamed-Slim Alouini

King Abdullah University of Science and Technology (KAUST)


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. More specifically, due to this RF spectrum scarcity, additional RF bandwidth allocation, as utilized in the recent past over "traditional bands", is not anymore enough to fulfill the demand for more wireless applications and higher data rates. The talk goes first over the potential offered by extreme band communication (XB-Com) systems to relieve spectrum scarcity.  Indeed, mm-wave, THz, and free space optics broadband wireless systems recently attracted several research interests worldwide due to the progress in electronics and photonics technologies. By utilizing these extreme frequency bands and employing extreme large bandwidths, the 6G target data rates over 100 Gbps could be achieved. The talk then summarizes (i) some of the challenges that need to be surpassed before such kinds of systems can be deployed and (ii) some of on-going activities in this area in order to achieve this goal.


Mohamed-Slim Alouini was born in Tunis,  Tunisia. He received the Ph.D. degree in Electrical  Engineering from the California Institute of Technology (Caltech) in 1998. He served as a faculty member at the University of Minnesota then in the Texas A&M University at Qatar before joining in 2009 the  King Abdullah University of Science and Technology (KAUST) where he is now a Distinguished Professor of Electrical and Computer Engineering. Prof. Alouini is a Fellow of the IEEE and OPTICA (Formerly the Optical Society of America (OSA)). He is currently particularly interested in addressing the technical challenges associated with the uneven distribution, access to, and use of information and communication technologies in rural, low-income, disaster, and/or hard-to-reach areas.