Mohamed Abdallah, HBKU, Qatar
Bekir Sait C, HBKU, Qatar
Ala Al-fuqaha, HBKU, Qatar
Abdulmalik Alwarafy, HBKU, Qatar

Tutorial Title:
Resource Management Using Deep Reinforcement Learning for 5G and Beyond Wireless
Networks.

Date: May 30, 2022 – From: 9:00 – 12:00 pm

Abstract:

Future wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they integrate, types of emerging applications and services they support, and types and numbers of smart IoT devices they serve. To elaborate, future wireless networks will integrate different radio access technologies (RATs) in the licensed and unlicensed bands across the land, sea, air, and deep space into a single wireless network in order to ensure high hyper-connectivity, reliability, and coverage.

Such networks are expected to support vertical disruptive applications and services in different sectors, including extended reality, holographic projection, autonomous systems, connected healthcare diagnostics, and wireless brain-machine interaction. Meanwhile, emerging user devices, such as smartphones/tablets, IoT devices, wearables, and implants, are expected to
exceed 30 billion by 2023 and are increasingly being equipped with advanced signal processing capabilities that enable them to support simultaneous multi-connectivity to these multi-RATs in order to support the future applications and services. Unfortunately, radio
resource allocation and management (RRAM) in such large-scale and heterogeneous networks (HetNets) becomes one of the major challenges encountered during system design and deployment.

Speaker’s Short BIO

Dr Mohamed Abdallah (Senior Member, IEEE) received the B.Sc. degree from Cairo University, Giza, Egypt, in 1996, and the M.Sc. and Ph.D. degrees from the University of Maryland at  College Park, College Park, MD, USA, in 2001 and 2006, respectively. From 2006 to 2016, he held academic and research positions with Cairo University and Texas A\&M University at Qatar, Doha, Qatar. He is currently a Founding Faculty Member with the rank of Associate Professor with the College of Science and Engineering, Hamad Bin Khalifa University, Doha. He has published more than 150 journals and conferences and four book chapters, and coinvented four patents. His current research interests include wireless networks, wireless security, smart grids, optical wireless communication, and blockchain applications for emerging networks.

Dr. Abdallah is a recipient of the Research Fellow Excellence Award at Texas A\&M University at Qatar in 2016, the Best Paper Award in multiple IEEE conferences, including IEEE BlackSeaCom 2019 and the IEEE First Workshop on Smart Grid and Renewable Energy in 2015, and the Nortel Networks Industrial Fellowship for five consecutive years, 19992003. His professional activities include an Associate Editor of the IEEE Transactions on Communications and the IEEE Open Access Journal of Communications, the Track CoChair of the IEEE VTC Fall 2019 Conference, the Technical Program Chair of the 10th International Conference on Cognitive RadioOriented Wireless Networks, and a Technical Program Committee Member of several major IEEE conferences.

Dr Bekir Sait C ̧ iftler (GS’14) received the B.S. degree from Middle East Technical University, Ankara, Turkey, in 2011, the M.S. degree from the TOBB University of Economics and Technology, Ankara, in 2013, and the Ph.D. degree in electrical and computer engineering from Florida International University, Miami, FL, USA, in 2017.His current research interests include wireless localization and tracking for Internet of Things, software-defined radios, 5G and mmWave networks, and MIMO systems.

Dr Ala Al-Fuqaha (Senior Member, IEEE) received the Ph.D. degree inco mputer engineering and networking from the University of Missouri–Kansas City, Kansas City, MO, USA, in 2004. He is currently a Professor with Hamad Bin Khalifa University. His research interests include the use of machine learning in general and deep learning in particular in support of the data-driven and self-driven management of large-scale deployments of the IoT and smart city infrastructure and services, wireless vehicular networks, cooperation and spectrum access etiquette in cognitive radio networks, and management and planning of software-defined networks. He is an ABET Program Evaluator. He has also served as the Chair, the Co-Chair, and a Technical Program Committee Member of multiple international conferences, including the IEEE VTC, IEEE Globecom, IEEE ICC, and IWCMC. He serves on editorial boards of multiple journals, including the IEEE COMMUNICATIONS LETTER and the IEEE Network Magazine.

Abdulmalik Alwarafy received the B.S. degree in electrical engineering with a minor in communication from IBB University, Yemen, and the M.Sc. degree in electrical engineering with a minor in communication from King Saud University, Saudi Arabia. He is currently pursuing the Ph.D. degree with the College of Science and Engineering, Hamad Bin Khalifa University, Qatar. His current research interests include radio resource allocation and management for mobile networks, and deep reinforcement learning techniques for 6G and beyond wireless communication networks.

M. Aloqaily, MBZUAI, UAE
F. Karray, MBZUAI, UAE

Tutorial Title:
Intelligent Blockchain Systems.

Date: May 30, 2022 – From: 1:00 – 4:00 pm

Abstract:

Intelligent Blockchain is the latest emerging security application (Security as a Service) in modern networks. Blockchain technology is the best enabler in peer-to-peer applications or in any kind of commodity systems. Similar to any disruptive technology, blockchain still faces many challenges of trust, malicious behaviors, standardization, interoperability, and resiliency to other domains. These issues have affected the large-scale deployment and impacted its growing market. Another set of issues has emerged from the recent market crashes in some of the popular cryptocurrencies which delayed the trust in this technology further. The new advances in AI methods have great potentials to overcome these challenges and promote the concept of Intelligent Blockchain in networking and communicationsThe use of AI within the blockchain core architecture can enhance resource use, optimize the speed of transaction execution, and detect any malicious traffic or transactions.

 
The aim of this tutorial is to introduce the basic concept of blockchain, discuss the emerging concept of intelligent blockchain in future communication and networking, and showcase a demo of use case scenarios. The tutorial will also cut deep into the methods, architectures, and needed systems for researchers to install, configure, and use within their local systems.

 

Speaker’s Short BIO

 Moayad Aloqaily (S-12, M-17, SM-21) received the Ph.D. degree in CE from the University of Ottawa, Canada, in 2016. He was an Instructor with the SYSC Department, Carleton University, Canada, in 2017. From 2018-2019, he was an assistant professor with American University of Middle East (AUM), Kuwait. From 2019-2021, he was the Cybersecurity Program Director and an assistant professor with the Faculty of Engineering, Al Ain University, UAE. He is the Managing Director of xAnalytics Inc., Canada, since 2019. He is currently with the Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE. He was the recipient of many honors and awards. He received the 2020 best paper award from Ad Hoc Networks Journal. His current research interests include the applications of AI and ML, connected and autonomous vehicles, blockchain solutions, and sustainable energy and data management. Dr. Aloqaily has chaired and co-chaired many IEEE conferences and workshops. He has served as a guest editor in many journals, including IEEE Wireless Communications, IEEE Network, and Computer Network. He is an Associate Editor of IEEE Wireless Communications, Ad Hoc Networks, Journal of Network and Systems Management, Simulation Modelling Practice and Theory, Cluster Computing, Security and Privacy, and IEEE Access. He has also been appointed as the Co-Editor-in-Chief of IEEE CommSoft TC eLetter in 2020. He started his Special Interest Groups on Blockchain and Application as well as the Internet of Unmanned Aerial Networks. He is an IEEE Senior Member, ACM Member, and a Professional Engineer Ontario (P.Eng.). He is the founder and director of artifitialleap.ai laboratory.