Welcome to the 6G Summit, Abu Dhabi, UAE
3rd — 4th November 2022
Venue : W Abu Dhabi Yas Island
Professor - Department of Digital Systems
ICT School, University of Piraeus, Greece
Angeliki Alexiou is a professor of Broadband Communications Systems at the department of Digital Systems, ICT School, University of Piraeus, Greece. She received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens in 1994 and the PhD in Electrical Engineering from Imperial College of Science, Technology and Medicine, University of London in 2000. Since May 2009 she has been a faculty member at the Department of Digital Systems, where she conducts research and teaches undergraduate and postgraduate courses in Broadband Communications and Advanced Wireless Technologies. Prior to this appointment she was with Bell Laboratories, Wireless Research, Lucent Technologies, (later Alcatel-Lucent, now NOKIA), in Swindon, UK, (January 1999-April 2009). Professor Alexiou is a co-recipient of Bell Labs President’s Gold Award in 2002 for contributions to Bell Labs Layered Space-Time (BLAST) project and the Central Bell Labs Teamwork Award in 2004 for role model teamwork and technical achievements in the IST FITNESS project. Professor Alexiou is the Chair of the Working Group on Radio Communication Technologies and of the Working Group on High Frequencies Radio Technologies of the Wireless World Research Forum. Her current research interests include radio interface for 6G systems, MIMO, THz wireless communication technologies, Reconfigurable Intelligent Surfaces, cooperation and coordination for Ultra Dense wireless networks, ‘cell-less’ architectures and machine learning for wireless systems. She is the project coordinator of the H2020 TERRANOVA project (ict-terranova.eu) and the technical manager of H2020 ARIADNE project (ict-ariadne.eu).
Associate Professor - Department of Electrical and Electronics Engineering
Koç University, Istanbul
Signal processing and communication communities have witnessed the rise of many exciting communication technologies in recent years. Notable examples include alternative waveforms, massive multiple-input multiple-output (MIMO) signaling, non-orthogonal multiple access (NOMA), joint communications and sensing, sparse vector coding, index modulation, and so on. It is inevitable that 6G wireless networks will require a rethinking of wireless communication systems and technologies, particularly at the physical layer (PHY) since the cellular industry reached another important milestone with the development of 5G wireless networks with diverse applications. Within this perspective, this talk aims to shed light on the recent developments in reconfigurable intelligent surface (RIS)-empowered communications towards 6G wireless networks by putting forward promising candidates for future research and development. Specifically, we put our emphasis on active, transmitter-type, transmissive-reflective, and standalone RISs, by discussing their advantages and disadvantages compared to reflective RIS designs. We will also discuss recent developments in the field of next-generation RIS-assisted NOMA systems. Finally, we envision an ultimate RIS architecture, which can adjust its operation modes dynamically, and introduce the new concept of PHY slicing over RISs towards 6G wireless networks.
Ertugrul Basar received his Ph.D. degree from Istanbul Technical University in 2013. He is currently an Associate Professor with the Department of Electrical and Electronics Engineering, Koç University, Istanbul, Turkey and the director of Communications Research and Innovation Laboratory (CoreLab). His primary research interests include beyond 5G systems, index modulation, intelligent surfaces, waveform design, and signal processing for communications. Dr. Basar currently serves as a Senior Editor of IEEE Communications Letters and an Editor of IEEE Transactions on Communications and Frontiers in Communications and Networks. He is a Young Member of Turkish Academy of Sciences and a Senior Member of IEEE. He is also the founding Academic Chair of the IEEE ComSoc Emerging Technologies Initiative on Reconfigurable Intelligent Surfaces.
University of Rome ‘La Sapienza’
Title: Communications and Sensing (focusing on THz, Radar sensing, RIS, UAVs)
The design of 6th Generation (6G) wireless networks points towards flexible connect-and-compute technologies capable to support innovative services and use cases. Targeting the 2030 horizon, 6G networks are expected to pave the way for sustainable human-centered smart societies and vertical industries. Wireless networks will be transformed into distributed smart connectivity infrastructures, where new terminal types are embedded in the daily environment. A key element toward building smart and energy sustainable wireless systems beyond 5G is the reconfigurable intelligent surface, which offers programmable control and shaping of the wireless propagation environment. In this context, the RISE-6G project aims at investigating innovative solutions that capitalize on the latest advances in the emerging technology of Reconfigurable Intelligent Surfaces, offering dynamic and goal-oriented radio wave propagation control and, enabling to trade off dynamically diverse, and usually conflicting, connectivity objectives. The RISE-6G project focus on: i) the realistic modeling of RIS- assisted signal propagation, ii) the investigation of the fundamental limits of RIS-empowered wireless communications and sensing, and iii) the design of efficient algorithms for orchestrating networking RISs, in order to implement intelligent, sustainable, and dynamically programmable wireless environments enabling diverse services that go well beyond the 5G capabilities. In this talk, we discuss the key technological enablers and research challenges with the proposed networking paradigm, and highlight the potential profound role of RISs in the recent Open Radio Access Network architecture. Details on two unprecedented envisioned proof-of-concepts for realizing controlled wireless environments in near-future use cases will be presented.
Dr. Emilio Calvanese Strinati obtained his Engineering Master degree in 2001 from the University of Rome ‘La Sapienza’ and his Ph.D in Engineering Science in 2005 from Paris Telecom. He then started working at Motorola Labs in Paris in 2002. Then in 2006 he joint CEA LETI as a research engineer. From 2007, he becomes a PhD supervisor. From 2010 to 2012, he has been the co-chair of the wireless working group in GreenTouch Initiative, which deals with design of future energy efficient communication networks. From 2011 to 2016 he was the Smart Devices & Telecommunications strategic programs Director, then, until January 2020 he was the Smart Devices & Telecommunications Scientific and Innovation Director. Since February 2020 he is the Nanotechnologies and Wireless for 6G (New-6G) Program Director focusing on future 6G technologies. He has published around 200 papers in journals, international conferences, and books chapters, and he has given more than 200 international invited talks, keynotes and tutorials. He is the main inventor of more than 75 patents. His current research interests are on Reconfigurable Intelligent Surfaces, Semantic communications, Goal-oriented communications AI-native technologies in the contest of 6G.
Prof. Hayssam Dahrouj
IEEE Senior Member and Associate Professor - Department of Electrical Engineering
University of Sharjah, UAE
Prof. Hayssam Dahrouj
Title: User Scheduling in Integrated Satellite-HAPS-Ground Networks Using Ensembling Deep Neural Networks
Integrated space-air-ground networks promise to offer a valuable solution space for empowering the sixth generation of communication networks (6G), particularly in the context of connecting the unconnected and ultraconnecting the connected. Such digital inclusion drive makes resource management problems, especially those accounting for load-balancing considerations, of particular interest. The conventional model-based optimization methods, however, often fail to meet the stringent real-time processing and quality-of-service needs, mainly due to the high heterogeneity of the space-air-ground networks layers, and the typical complexity of the classical optimization algorithms. Given the premises of artificial intelligence at automating wireless networks design, this paper focuses on showcasing the prospects of machine learning in the context of user scheduling in integrated space-air-ground communications. The talk first overviews the recent advances in applying machine learning to the wireless resource allocation problems, with a dedicated attention to space-air-ground networks. The talk then proposes, and shows the benefit of, one specific application that uses ensembling deep neural networks for optimizing the integer non-convex user scheduling problem in integrated space-high altitude platform station (HAPS)-ground networks. The simulations results illustrate the appreciable gain of the proposed ensembling deep neural network scheme versus the ensemble size, and highlight the numerical prospects of augmenting the ground networks with HAPS for connecting the unconnected (through strong HAPS capabilities), and super-connecting the connected (at the high interference regime). The talk finally sheds light on the challenges and open issues that promise to spur the integration of machine learning in future space-air-ground networks, namely, online HAPS power adaptation, learning-based channel sensing, data-driven multi-HAPSs resource management, and intelligent flying taxis-empowered systems.
Hayssam Dahrouj (S'02, M'11, SM'15) received his Ph.D. degree in electrical and computer engineering from the University of Toronto (UofT), Canada, in 2010. Since August 2022, he has been with the Electrical Engineering Department at the University of Sharjah, UAE, where he is currently an associate professor. Prior to that, he was with the Center of Excellence for NEOM Research at King Abdullah University of Science and Technology (KAUST) as a senior research scientist. From June 2015 to June 2020, he was with the Department of Electrical and Computer Engineering at Effat University as an assistant professor, and a visiting scholar at the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) division at KAUST, where he also was a research associate between April 2014 and May 2015. Prior to joining KAUST, Prof. Dahrouj was an industrial postdoctoral fellow at the University of Toronto, in collaboration with BLiNQ Networks Inc., Kanata, Canada, where he worked on developing practical solutions for the design of non-line-of sight wireless backhaul networks. During his doctoral studies at UofT, he pioneered the idea of coordinated beamforming as a means of minimizing intercell interference across multiple base stations. The journal paper on this subject was ranked second in the 2013 IEEE Marconi paper awards in wireless communications. Prof. Dahrouj is the recipient of both the faculty award of excellence in research, and the faculty award of excellence in teaching (at the university level) in May 2017. He is a senior member of the IEEE, an editor of the IEEE Transactions on Vehicular Technology, an associate editor of the Frontiers in Communications and Networks, and a lead-guest editor of the Frontiers special issue on Resource Allocation in Cloud-Radio Access Networks and Fog-Radio Access Networks for B5G Systems. His main research interests include 6G wireless systems, integrated space-air-ground networks, machine learning for wireless communications, convex optimization, and distributed algorithms.
Khalifa University, UAE
Ernesto Damiani is a Full Professor at Khalifa University, UAE, Senior Director of the Robotics and Intelligent Systems Institute, and Director of Center for Cyber Physical Systems (C2PS) within Khalifa University (UAE). He is the leader of the Big Data area at Etisalat British Telecom Innovation Center (EBTIC), and President of the Consortium of Italian Computer Science Universities (CINI). He is also part of the ENISA Ad-Hoc Working Group on Artificial Intelligence Cybersecurity. Ernesto's areas of interest include cyber-physical systems, Big Data Analytics, Edge/Cloud security and performance, Artificial Intelligence, and Machine Learning. Ernesto Damiani has pioneered model-driven data analytics. He has authored more than 670 Scopus-indexed publications and several patents. Ernesto has been a recipient of the Research and Innovation Award from the IEEE Technical Committee on Homeland Security , of the Stephen Yau Award from the Service Society, of the Outstanding contributions Award from IFIP TC2, of the Chester-Sall Award from IEEE IES, of the IEEE TCHS Research and Innovation Award, and of a doctorate honoris causa from INSA – Lyon (France) for his contribution to Big Data teaching and research.
School of Computing, Queen's University, Kingston, ON
Title: Communications, Computing, and Security for the Internet of Everything Era and Beyond
The foreseen 6G network commences the Internet of Everything (IoE) era, where billions of wireless devices will participate in monitoring and automating our world. Different from conventional wireless networks, the IoE is intrinsically large in scale and massive in the density of devices. The types of IoE devices are heterogenous and many of these devices have stringent operational and computational constraints. The majority of the IoE devices will be deployed by consumers who are unaware of the underlying security risks. Such new features of the IoE call for novel and innovative techniques for communications, computing, and security. This talk will first discuss the communications, computation, and security challenges for the IoE era and motivate a systematic methodology to address them. The talk will then overview some relevant problems and their potential solutions. Future research direction will also be highlighted
Dr. Hesham ElSawy received his Ph.D. degree in Electrical Engineering from the University of Manitoba, Canada, in 2014. From 2014 to 2018 he was a postdoctoral Fellow at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. From 2018 to 2022 he was an assistant professor at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. Dr ElSawy received several academic and best paper awards including the 2020 IEEE COMSOC Best Tutorial Paper Award, the 2017 IEEE COMSOC Best Survey Paper Award, and the 2018 IEEE ComSoc Outstanding Young Researcher Award for Europe, Middle East, & Africa Region. He is a senior member of the IEEE, an Editor for the IEEE Transactions of Wireless Communications, and an editor the IEEE Communications Letters.
Université Internationale de Rabat, Morocco
Title: On the confluence of wireless communications and robotics
The importance of ground mobile robots and unmanned aerial vehicles within the research community, industry, and society is growing fast. Many of these agents are nowadays equipped with communication systems that are, in some cases, essential to the successfull operation of the agent. In this context, we have begun to witness the development of a new interdisciplinary research field at the intersection of robotics and communications. Nevertheless, most researchers address problems in this research field by oversimplifying either the robotics or the wireless communication aspect. In this talk, I shall argue that these oversimplifications may impede the ability of reaching the full potential of this interdisciplinary research area. I will illustrate this by addressing the problems of communication-aware trajectory planning and RF energy harvesting.
Mounir Ghogho (Fellow, IEEE) has received the M.Sc. degree in 1993 and the PhD degree in 1997 from the National Polytechnic Institute of Toulouse, France. He was an EPSRC Research Fellow with the University of Strathclyde (Scotland), from Sept 1997 to Nov 2001. In Dec 2001, he joined the school of Electronic and Electrical Engineering at the University of Leeds (England), where he was promoted to full Professor in 2008. While still affiliated with the University of Leeds, in 2010 he joined the International University of Rabat (Morocco) where he is currently Dean of the College of Doctoral Studies and Director of TICLab (ICT Research Laboratory). He is a Fellow of IEEE, a recipient of the 2013 IBM Faculty Award, and a recipient of the 2000 UK Royal Academy of Engineering Research Fellowship. He is the co-founder and co-director of the CNRS-associated International Research lab DataNet, in the field of Big Data and AI. His research interests are in Machine Learning, Signal Processing and Wireless Communication. He has coordinated around 20 research projects and supervised over 30 PhD students in the UK and Morocco. In the past, he served as an associate editor of many journals including the IEEE Signal Processing Magazine and the IEEE Transactions on Signal Processing.
Professor and IEEE Fellow
Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
Title: Pervasive Artificial Intelligence in Securing the Internet of Things
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 delay, security and efficiency. With the Internet of Things (IoT) transforming our society by connecting the world, anytime and anywhere, AI can be a great tool to achieve this ultimate objective. This is already adopted to transform the healthcare industry in many ways. However, the use of AI in ubiquitous connections bring with it many challenges that range from providing efficient security to healthcare data to securing complex systems. On the other hand, adversarial AI can slow the adoption of these systems and in turn block such advances. These smart services rely on computation and communication resources. Furthermore, being able to provide adequate services using these complex systems present enormous challenges.
In this talk, we review the current efforts in using AI to mitigate some of these challenges. Then, we discuss applications on how to alert researchers from taking care of adversarial AI. We showcase our research activities that will contribute to these efforts and advocate possible solutions using AI models. We provide ways on how to manage the available resources intelligently and efficiently in order to offer better living conditions and provide better services. Finally, we discuss some of our research results to support a variety of applications concentrating on the healthcare industry.
Mohsen Guizani (M’89–SM’99–F’09) 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 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, Internet of Things (IoT), intelligent systems, smart city, and cybersecurity. He was elevated to IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020 and 2021. 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 five Best Paper Awards from ICC and Globecom Conferences. He is the author of ten books and more than 800 publications. 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.
Professor- Department of Electrical and Computer Engineering
Manitoba University, Winnipeg, Canada
Federated learning (FL) is a distributed machine learning setting where a centralized server trains a learning model by using remote devices. FL algorithms cannot be employed in wireless networks unless the unreliable and resource-constrained nature of the wireless medium is taken into account. In this talk, I shall present an FL algorithm that is suitable for cellular wireless networks in a real-world scenario. I shall discuss its convergence properties and the effects of local computation steps and communication steps on its convergence. Through experiments on real and synthetic datasets, I shall demonstrate the performance of the proposed algorithm. Also, I will present several applications of FL in 6G communications scenarios.
Ekram Hossain (IEEE Fellow) is a Professor in the Department of Electrical and Computer Engineering at University of Manitoba, Winnipeg, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada, a Fellow of the Canadian Academy of Engineering, and also a Fellow of the Engineering Institute of Canada (http://home.cc.umanitoba.ca/~hossaina). Dr. Hossain's current research interests include design, analysis, and optimization of wireless communication networks (with emphasis on 6G cellular), applied machine learning and game theory, and network economics. He was elevated to an IEEE Fellow “for contributions to spectrum management and resource allocation in cognitive and cellular radio networks". He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017, 2018, 2019, 2020, and 2021. Dr. Hossain has won several research awards including the 2017 IEEE Communications Society Best Survey Paper Award, the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award, University of Manitoba Merit Award in 2010, 2013, 2014, and 2015 (for Research and Scholarly Activities), and the IEEE Wireless Communications and Networking Conference 2012 (WCNC'12) Best Paper Award. He received the 2017 IEEE ComSoc TCGCC (Technical Committee on Green Communications & Computing) Distinguished Technical Achievement Recognition Award “for outstanding technical leadership and achievement in green wireless communications and networking”.Currently he serves as an Editor for the IEEE Transactions on Mobile Computing and the Director of Online Content for IEEE ComSoc. Previously, he served as the Editor-in-Chief of IEEE Press (2018-2021) and IEEE Communications Surveys and Tutorials (2012-2016), an Area Editor for the IEEE Transactions on Wireless Communications in the area of “Resource Management and Multiple Access'' (2009-2011), and an Editor for the IEEE Journal on Selected Areas in Communications - Cognitive Radio Series (2011-2014). He served as the Director of Magazines for the IEEE Communications Society (2020-2021). Dr. Hossain was an elected Member of the Board of Governors of the IEEE Communications Society for the term 2018-2020. He was a Distinguished Lecturer of the IEEE Communications Society and IEEE Vehicular Technology Society.
Professor- Department Electrical and Electronic Engineering
University College London
Title: Securing the Integrated Sensing-Communication Network
The integration of sensing and communication (ISAC) functionalities is seen as a key enabling technology for 6G networks to provide services beyond communications. The sensing functionality being introduced means that the network will generate and handle an unprecedented amount of personal or sensitive data. Without ensuring this new generation of multi-functional networks is secure for its users, the deployment of the ISAC network may not materialise. In this talk I first highlight the unique security challenges for ISAC links, that necessitate the development of a new generation of secure solutions departing from the communication-only methods. I then overview early research in the area from my group, enabling secure ISAC transmission and demonstrating scalable trade-offs between secure transmission and sensing performance. This is possible through the co-design of signals for secure communication and sensing. I conclude with some thoughts on research opportunities and the road ahead.
Christos Masouros (SMIEEE, MIET) received the Diploma degree in Electrical and Computer Engineering from the University of Patras, Greece, in 2004, and MSc by research and PhD in Electrical and Electronic Engineering from the University of Manchester, UK in 2006 and 2009 respectively. In 2008 he was a research intern at Philips Research Labs, UK. Between 2009-2010 he was a Research Associate in the University of Manchester and between 2010-2012 a Research Fellow at Queen's University Belfast. In 2012 he joined University College London as a Lecturer. He has held a Royal Academy of Engineering Research Fellowship between 2011-2016. He is currently a Full Professor in the Information and Communications Engineering research group, Dept. Electrical and Electronic Engineering, University College London. His research interests lie in the field of wireless communications and signal processing with particular focus on Green Communications, Large Scale Antenna Systems, Cognitive Radio, interference mitigation techniques for MIMO and multicarrier communications. He was the recipient of the Best Paper Awards in the IEEE GlobeCom 2015 and IEEE WCNC 2019 conferences, and has been recognised as an Exemplary Editor for the IEEE Communications Letters, and as an Exemplary Reviewer for the IEEE Transactions on Communications. He is an Editor for IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications. He has been an Associate Editor for IEEE Communications Letters, and a Guest Editor for IEEE Journal on Selected Topics in Signal Processing issues “Exploiting Interference towards Energy Efficient and Secure Wireless Communications” and “Hybrid Analog / Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays”. He is currently an elected member of the EURASIP SAT Committee on Signal Processing for Communications and Networking.
Hussein T. Mouftah
Tier 1 Canada Research Chair and Distinguish University Professor School of Electrical Engineering and Computer Science
University of Ottawa, Ottawa, Ontario, Canada
Hussein T. Mouftah
Title: AI-Enabled Deployment of Connected and Autonomous Electric Vehicles in Smart Cities
The transformation of our current cities into smarter cities will bring challenges in diverse areas
such as the transportation system, the electricity system, and wearable systems, just to name a
few. In smart cities, Information and Communication Technologies (ICT) will play a vital role
for providing services in the urban environment. These services include real time monitoring and
reaction in time through wireless sensor and actuator networks. Smart Grids (SGs), Intelligent
Transportation Systems (ITS), Internet of Things (IoT), Electric Vehicles (EVs), and Wireless
Sensor Networks (WSNs), supported by the advances in Artificial Intelligence (AI) and Machine
Learning (ML), will be the building blocks of futuristic smart cities. In this presentation we will
address ML techniques with a focus on autonomous vehicles and in particular on Connected and
Autonomous Electric Vehicles (CAEVs) in smart cities. Current capabilities as well as
limitations and opportunities of key AI enabling technologies will be reviewed, along with a
discussion on the impact of such advances on society and the environment. All these
technologies will help to build a smart city. A use case on evaluating traffic signs detection using
deep convolutional neural networks (CNNs) such as Faster R-CNN for autonomous driving, will
Hussein T. MOUFTAH received the BSc in Electrical Engineering and MSc in Computer Science from the University of Alexandria, Egypt, in 1969 and 1972, respectively, and the Ph.D. degree in Electrical Engineering from Laval University, Canada, in 1975. He joined the School of Electrical Engineering and Computer Science (was School of Information Technology and Engineering) of the University of Ottawa in 2002 as a Tier 1 Canada Research Chair Professor, where he became a Distinguished University Professor in 2006. He was with the ECE Department, Queen’s University (1979–2002), where he was prior to his departure a Full Professor and the Department Associate Head. He has six years of industrial experience mainly at Bell Northern Research of Ottawa (Nortel Networks). He is the author or coauthor of 13 books, 78 book chapters and more than 1800 technical papers, 17 patents, 5 invention disclosures, and 148 industrial reports. Dr. Mouftah served as the Editor-in-Chief of the IEEE Communications Magazine (1995–1997) and IEEE ComSoc Director of Magazines (1998–1999), Chair of the Awards Committee (2002–2003), Director of Education (2006–2007), and a Member of the Board of Governors (1997–1999 and 2006–2007). He was a Distinguished Speaker of the IEEE Communications Society (2000–2007). He is a Fellow of the IEEE (1990), the Canadian Academy of Engineering (2003), the Engineering Institute of Canada (2005), and the Royal Society of Canada RSC Academy of Science (2008). He is the joint holder of 26 Best/Outstanding Paper Awards. He has received numerous prestigious awards, such as the 2017 Gotlieb Medal in Computer Engineering and Science, the 2016 R.A. Fessenden Medal in Telecommunications Engineering of IEEE Canada, the 2016 Distinguished Technical Achievement Award in Communications Switching and Routing of IEEE ComSoc Communications Switching and Routing Technical Committee, the 2015 IEEE Ottawa Section Outstanding Educator Award, the 2014 Engineering Institute of Canada K. Y. Lo Medal, the 2014 Technical Achievement Award of the IEEE Communications Society Technical Committee on Wireless Ad Hoc and Sensor Networks, the 2007 Royal Society of Canada Thomas W. Eadie Medal, the 2007–2008 University of Ottawa Award for Excellence in Research, the 2008 ORION Leadership Award of Merit, the 2006 IEEE Canada McNaughton Gold Medal, the 2006 EIC Julian Smith Medal, the 2004 IEEE ComSoc Edwin Howard Armstrong Achievement Award, the 2004 George S. Glinski Award for Excellence in Research of the University of Ottawa Faculty of Engineering, the 1989 Engineering Medal for Research and Development of the Association of Professional Engineers of Ontario, and the Ontario Distinguished Researcher Award of the Ontario Innovation Trust.
Professor - Department of Electrical Engineering
King Abdullah University of Science and Technology (KAUST)
Title: UAV-Enabled Wake-up Radio and Data Collection from IoT Devices
The ubiquitous deployment of Internet of Things (IoT) is always compromised by the limited batteries of wireless devices. To overcome this challenge, energy harvesting (EH) and wireless energy transfer (WET), in addition to energy efficient communication techniques, have been widely considered. Although these efforts have achieved longevity to some extent, ever-evolving IoT services seek fully autonomous things without energy constraints. To meet this demand, we investigate the usage of unmanned aerial vehicles (UAV) to overcome the energy constraint of IoT deployments in hard-to-reach locations. Specifically, we present a UAV-enabled wake-up radio (WuR) and data collection (U-WRIoT) solution for future IoT networks. UWRIoT realizes perpetual operation of IoT networks by enabling UAVs to wake-up IoT devices from an ultra low power sleep mode through transmitting wake-up radio signals. Upon successful wake-up, the IoT devices use their own batteries to transmit the collected data to the UAV. In this talk, we present an overview of U-WRIoT and its applications and discuss the challenges and enabling technologies towards realizing it. We also present an experimental testbed to validate the applicability of U-WRIoT and the effectiveness of the proposed techniques.
Tareq Al-Naffouri received the B.S. degrees in mathematics and electrical engineering (with first honors) from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, the M.S. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, in 1998, and the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, in 2004. He was a visiting scholar at California Institute of Technology, Pasadena, CA in 2005 and summer 2006. He was a Fulbright scholar at the University of Southern California in 2008. He is currently a Professor at the Electrical Engineering Department, King Abdullah University of Science and Technology (KAUST). His research interests lie in the areas of sparse, adaptive, and statistical signal processing and their applications to wireless communications and localization, machine learning, and network information theory. He has over 350 publications in journal and conference proceedings and 20 issued/pending patents.
Petar Popovski is a Professor at Aalborg University, where he heads the section on Connectivity and a Visiting Excellence Chair at the University of Bremen. He received his Dipl.-Ing and M. Sc. degrees in communication engineering from the University of Sts. Cyril and Methodius in Skopje and the Ph.D. degree from Aalborg University in 2005. He is a Fellow of the IEEE. He received an ERC Consolidator Grant (2015), the Danish Elite Researcher award (2016), IEEE Fred W. Ellersick prize (2016), IEEE Stephen O. Rice prize (2018), Technical Achievement Award from the IEEE Technical Committee on Smart Grid Communications (2019), the Danish Telecommunication Prize (2020) and Villum Investigator Grant (2021). He is currently the Editor-in-Chief of IEEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. Prof. Popovski was the General Chair for IEEE SmartGridComm 2018 and IEEE Communication Theory Workshop 2019. His research interests are in communication theory and wireless connectivity. He authored the book "Wireless Connectivity: An Intuitive and Fundamental Guide", published by Wiley in 2020.
Professor - Department of Computer Science
New York University Abu Dhabi (NYUAD)
Title: What could possibly go wrong? Security & Privacy for Next Generation 6G Networks – An Outlook on Pathways Forward
In this talk, we will learn from the past and look into the future. I will present core aspects of the current 5G security architecture and discuss attacks that are mitigated or prevented by it. We will look into past examples from previous network generations (2G-5G) where things went wrong, attacks on security and/or privacy were possible and were successfully realized. I will include examples from my group’s research work (such as aLTEr & IMP4GT, SUPI/SUCI catching, public warning system & handover attacks) that demonstrated impersonation attacks and user localization, among others. For instance, we have demonstrated that although encrypting SUCIs prevents an attacker from deriving a user’s identity, it does not generally prevent user tracking and linking temporary identifiers. We will then turn our attention towards 6G and speculate about some of the most likely security challenges that next generation networks will have to deal with and which security advances we are likely to see in the development of the 6G ecosystem.
Christina Pöpper is a tenure-track faculty of Computer Science at New York University Abu Dhabi (NYUAD) where she is heading the Cyber Security & Privacy (CSP-) Lab. She is the Co-PI of Research of the Center for Cyber Security (CCSAD) at NYUAD and a Global Network Assistant Professor of Computer Science at the Courant Institute of Mathematical Sciences at NYU. She is also affiliated as a visiting professor with Ruhr-University Bochum, Germany, where she was previously heading the Information Security Group as part of the HGI, the Horst-Görtz-Institute for IT-Security.
Christina’s research interest is cyber security and privacy. Focus areas are wireless and communication security, including cellular network security, secure localization, and aviation security, as well as privacy and anonymity in communication networks. The research work of her group has been recognized by the Coordinated Vulnerability Disclosure program of GSMA, the GSM Association. Christina has been a member of the steering committee of ACM WiSec, the ACM Conference on Security and Privacy in Wireless and Mobile Networks, since 2018, and was TPC Co-Chair in 2018 and General Chair in 2021. Since 2021, she has been a member of the Executive Committee of ACM SIGSAC.
Christina holds a Ph.D. and graduate degree in Computer Science from ETH Zurich. In her diploma thesis, she worked on information flow analysis and the automatic detection of information leaks during program execution. Christina also worked at the European Space Agency in Paris; space rocks.
Salim El Rouayheb
Associate Professor - Department of Electrical and Computer Engineering
Rutgers University, Piscataway Township, NJ
Salim El Rouayheb
Title: How to Opt In and Out of Online Mobile Privacy: A 300 Billion Dollar Problem
Online users are gradually being given more agency over their online privacy. For instance, the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR) in the EU give consumers control over the personal information collected about them. As a result, users can turn on or off certain privacy settings in mobile apps and websites, with dire consequences on the multi-billion dollar mobile ad industry. From a technical point of view, this gives rise to a somewhat overlooked privacy problem: due to correlation, one has to still worry about privacy even when privacy is off. For example, a user who wants location privacy during a period of time, has to also worry about hiding his location outside of this period, since teleportation is not yet possible. Also, a user in a social network has to worry about his friends’ and family’s privacy settings due to them having similar behavior. I will talk about our recent theoretical work formulating and solving aspects of this problem, dubbed On/Off Privacy, in the context of private information retrieval. Among our results are new polynomial-time On/Off privacy algorithms that can achieve optimal communication cost. I will conclude with open questions and directions in this new area.
Salim El Rouayheb is an associate professor in the ECE Department at Rutgers University. From 2013 to 2017, he was an assistant professor at the ECE Department at the Illinois Institute of Technology, Chicago. He was a research scholar at Princeton University (2012-2013) and a postdoc at the University of California, Berkeley (2010-2011). He received his Ph.D. degree in Electrical Engineering from Texas A&M University, College Station, in 2009. In 2019, he was awarded the Rutgers University Walter Tyson Junior Faculty Chair. He received the Google Faculty Award in 2018 and the NSF CAREER award in 2016. His research interests lie in the area of information-theoretic security and privacy of data in networks and distributed systems.
Title: Beyond Big Data: Sustainable Explainable & Actionable (Tiny) ML
Dr. Dymitr Ruta is a Chief Scientist at Emirates ICT Innovation Center (EBTIC), Khalifa University (KU), where he leads Big Data Analytics and Machine Learning Group. He received PhD in Statistical Pattern Recognition from the University of the West of Scotland (UWS) in 2003. His research interests span broad areas of machine learning (ML), artificial intelligence (AI), and mathematical modelling and simulation (MMS). Prior to joining EBTIC, he worked as a Lecturer at UWS, Senior Researcher at British Telecom Lab (UK) and Senior Researcher at Boronia Capital Hedge Fund (Australia). He is an accomplished researcher with 100+ publications, 6+patents and 20+ int. awards. Dymitr leads research & innovation teams to deliver state-of-the-art reusable predictive services focused on data monetization for large industrial & government partners and holds a proven track of multimillion value generation in finance, telecom, aerospace, education and health industries.
Pisa University, Italy
Title: Line-of-Sight Holographic MIMO Communications
Starting from first principles of wave propagation, we consider a multiple-input multiple-output (MIMO) representation of a communication system between two spatially-continuous volumes. This is the concept of holographic MIMO communications. The analysis takes into account the electromagnetic interference, generated by external sources, and the constraint on the physical radiated power. The electromagnetic MIMO model is particularized for a pair of parallel line segments in line-of-sight conditions. Inspired by orthogonal-frequency division-multiplexing, we assume that the spatially-continuous transmit currents and received fields are represented using the Fourier basis functions. In doing so, a wavenumber-division multiplexing (WDM) scheme is obtained, which is not optimal but can be efficiently implemented. The interplay among the different system parameters (e.g., transmission range, wavelength, and sizes of source and receiver) in terms of number of communication modes and level of interference among them is studied with conventional tools of linear systems theory. Due to the non-finite support (in the spatial domain) of the electromagnetic channel, WDM cannot provide non-interfering communication modes. The interference decreases as the receiver size grows, and goes to zero only asymptotically. Different digital processing architectures, operating in the wavenumber domain, are thus used to deal with the interference. The simplest implementation provides the same spectral efficiency of a singular-value decomposition architecture with water-filling when the receiver size is comparable to the transmission range. The developed framework is also used to represent a classical MIMO system and to make comparisons. It turns out that the latter achieves better performance only when a higher number of radio-frequency chains is used.
Prof. Luca Sanguinetti received the Laurea Telecommunications Engineer degree (cum laude) and the Ph.D. degree in information engineering from the University of Pisa, Italy, in 2002 and 2005, respectively. In 2004, he was a visiting Ph.D. student with the German Aerospace Center (DLR), Oberpfaffenhofen, Germany. From June 2007 to June 2008, he was a Postdoctoral Associate with the Department of Electrical Engineering, Princeton. From July 2013 to October 2017, he was with the Large Systems and Networks Group (LANEAS), CentraleSupélec, France. He is currently an Associate Professor with the Dipartimento di Ingegneria dell’Informazione, University of Pisa. He has coauthored two textbooks: "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" (2017) and "Foundations of User-centric Cell-free Massive MIMO" (2020). His expertise and general interests span the areas of communications and signal processing. Dr. Sanguinetti received the Marconi Prize Paper Award in Wireless Communications in 2018 and 2022, and coauthored a paper that received the Young Best Paper Award from the ComSoc/VTS Italy Section. He was the co-recipient of two best conference paper awards: IEEE WCNC 2013 and IEEE WCNC 2014. He was the recipient of the FP7 Marie Curie IEF 2013 Dense deployments for green cellular networks. He served as an Associate Editor for IEEE Transactions on Wireless communications and IEEE Signal Processing Letters, and as Lead Guest Editor of IEEE Journal on Selected Areas of Communications Special Issue on “Game Theory for Networks” and as an Associate Editor for IEEE Journal on Selected Areas of Communications (series on Green Communications and Networking). He is currently serving as an Associate Editor for the IEEE Transactions on Communications and is a member of the Executive Editorial Committee of IEEE Transactions on Wireless Communications. He served as the Exhibit Chair of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing and as the General Co-Chair of the 2016 Tyrrhenian Workshop on 5G&Beyond. He also served as a Technical Co-Chair of European Wireless 2018, and as Special Session Chair of ISWCS18. He’s the general chair of SPAWC 2021 (Lucca, June 2021), and also the executive vice-chair of ICC 2023 (Rome, May 2023). He is an IEEE Senior Member.
Dr Shreekant (Ticky) Thakkar
Chief Researcher at the Secure Systems Research Center
Technology Innovation Institute (TII)
Dr Shreekant (Ticky) Thakkar
Title: E2E Security and Resilience in Cyber Physical and Autonomous System of
Systems and Implication to Future Communication Standards
Autonomous systems sit at the intersection of AI, the IoT, cloud architectures, and agile
software development practices. Various flavors of these systems are becoming
prominent, such as unmanned drones, self-driving cars, automated warehouses, and
managing capabilities in smart cities. The drone industry alone was estimated at $100
billion in 2020, and autonomous systems are already driving significantly more value
across other domains. But surprisingly little attention has been paid to securing
autonomous systems as systems composed of multiple automated components. Various
patchwork efforts have focused on individual components. In tandem, cloud services are
starting to adopt a Zero Trust approach for securing the chain of trust that might traverse
multiple systems. With that, it has become imperative to extend a Zero Trust architecture
to systems of autonomous systems to protect not only drones, but also industrial
equipment, supply chain automation, and smart cities. This will cover what are the
communications and security requirements for such systems.
Dr Shreekant (Ticky) Thakkar is Chief Research Officer at the Secure Systems
Research Centre at the Technology Innovation Institute (TII), a cutting-edge UAE-based
scientific research Centre and Adjunct Research Professor at Khalifa University. In this
role, he is responsible for carrying out advanced research that is driving end-to-end
security and resilience in cyber physical and autonomous systems of systems (swarm of
drones). These includes secure technologies in silicon, edge and mobile and cloud
platforms working with open-source ecosystems (Dronecode, RISC-V, Linux, Apache,
ROS) and research institutions across USA, Europe, and UAE.
Thakkar’s career is punctuated by industry firsts and successes that have strengthened
revenue, profit, and competitive advantage for Fortune 500 firms, as well as reach labs,
start-ups, and entrepreneurial divisions.
Thakkar is a hands-on leader with an invaluable blend of strategy development and
tactical execution; an implementer and dedicated "doer'' who delivers corporate vision by
building, leading, mentoring, and supporting highly effective, diverse, and collaborative
advanced development, engineering/software engineering teams across different
Before taking on his current role, Thakkar was Chief Scientist and Executive Vice
President of Engineering and Technology at the company, now Digital14, a cyber-
security leader based in the UAE. In this capacity, he was instrumental in developing an
engineering organization of 500 people from a start-up team in four geographical
locations, delivering two generations of innovative secure smartphones and applications,
and a secure VPN appliance that contributed significantly to the company's annual
In prior roles, he served as Chief Solutions Architect at Qualcomm Data Technologies,
and as the Chief Technology Officer in the Personal Computing Group and as Vice
President and Fellow at HP’s Emerging Computing Lab.
Earlier in his career, Ticky Thakkar completed 21 years at INTEL Corporation in roles
including INTEL Fellow and Chief Systems Architect - Mobile Systems Technologies.
Thakkar holds a PhD and an MSc, both in Computer Science, from the University of
Manchester. He also earned a BSc in Computer Science and Statistics from University
College London. He holds 87 patents and has published 33 papers and over 5000
citations in Google Scholar.
Professor - Department of Electrical and Electronics Engineering
Ozyegin University, Istanbul, Turkey
Backhaul solutions with large capacity, high reliability and ultra-wide coverage are critical for 6G and beyond wireless communication networks. The shortcomings of existing wired/wireless terrestrial backhaul solutions have triggered studies on alternative solutions that go beyond traditional patterns. In line with the rapid developments in unmanned aerial vehicles (UAVs), airborne backhaul is now considered to be a feasible technology for 6G and beyond. In this talk, we present optical wireless communication, also known as free space optic (FSO), as a powerful connectivity solution for ground-to-UAV, inter-UAV and UAV-to-ground links. We first highlight the differences of airborne FSO links with respect to their terrestrial counterparts and present path loss and turbulence models for a realistic channel modeling. Then, utilizing FSO links as the building blocks of an airborne backhaul network, we discuss the design of customized system architectures for different deployment scenarios, e.g., rural areas, urban areas, temporary use for disaster/social event etc. We further address the energy efficiency of UAVs and discuss trajectory optimization of solar-powered UAVs to maximize harvested energy under FSO communication constraints.
Murat Uysal received the B.Sc. and the M.Sc. degree in electronics and communication engineering from Istanbul Technical University in 1995 and 1998, respectively, and the Ph.D. degree in electrical engineering from Texas A&M University in 2001. He is currently a Full Professor of the Department of Electrical and Electronics Engineering at Ozyegin University, Istanbul, Turkey. He also serves as the Founding Director of the Center of Excellence in Optical Wireless Communication Technologies (OKATEM). Prior to joining Ozyegin University, he was a tenured Associate Professor at the University of Waterloo, Canada. Dr. Uysal’s research interests are in the broad area of communication theory with a particular emphasis on the physical layer aspects of wireless communication systems in radio and optical frequency bands. He has authored some 400 journal and conference papers on these topics and received more than 17.000 citations with an h-index of 61. Dr. Uysal is an IEEE Fellow and a member of Turkish Science Academy. He currently serves as an Area Editor for IEEE Transactions on Communications. In the past, he served as an Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and IEEE Communications Letters. He was involved in the organization of several IEEE conferences at various levels. In particular, he served as the Technical Program Committee Chair of major IEEE conferences including WCNC 2014, PIMRC 2019 and VTC-Fall 2019. He also served as the Chair of IEEE Turkey Section between 2015 and 2019. Dr. Uysal’s major distinctions include the NSERC Discovery Accelerator Award, University of Waterloo Engineering Research Excellence Award, Turkish Academy of Sciences Distinguished Young Scientist Award, Ozyegin University Best Researcher Award, National Instruments Engineering Impact Award and IEEE Turkey Section Outstanding Service Award in addition to numerous best paper awards.