Riccardo Bassoli is a Junior professor (US Assistant Professor, UK Lecturer) at the Deutsche Telekom Chair of Communication Networks and Head of the Quantum Communication Networks Research Group, at the Faculty of Electrical and Computer Engineering, at Technische Universitat Dresden. He is also “ member of the Centre for Tactile Internet with Human-in-the-loop (CeTI), Cluster of Excellence, Dresden. He got his Ph.D. from 5G Innovation Centre at University of Surrey (UK), in 2016. Between 2016 and 2019, he was postdoctoral researcher at Università di Trento (Italy). He is IEEE and ComSoc member. He is also member of Glue Technologies for Space Systems Technical Panel of IEEE AESS. His research interests include: quantum communication networks and their integration with 6G and the Tactile Internet, 6G three-dimensional networking, network virtualization, and low-latency resilient communications. Title: Can quantum computing play a role in 6G? Abstract: The research and design of 6G has involved the scientific community and industry since 2020, and in the upcoming years the standardisation efforts are expected to start. Artificial intelligence (AI) and softwarization are going to play a pivotal role in 6G, creating an unprecedented challenge to in-network computing paradigms. That is why, it is important to research and identify novel computing technologies that may help in achieving the envisioned objectives for 6G. In this context, can quantum computing provide the additional computing resources to 6G in-network computing to avoid the intrinsic limitations and trade-offs of 'classical' technologies?
Dr. Muhammad Asif Khan
Qatar Mobility Innovations Center, Qatar
Muhammad Asif Khan (SMIEEE) is a Research Scientist at Qatar Mobility Innovations Center (QMIC). He received a Ph.D. degree in Electrical Engineering from Qatar University (2020), an M.Sc. degree in Telecommunication Engineering from the University of Engineering and Technology Taxila, Pakistan (2013), and a B.Sc. degree in Telecommunication Engineering from the University of Engineering and Technology Peshawar, Pakistan (2009). He also serves/served as an associate editor (AE) of the IEEE Technology Policy and Ethics newsletter and guest editor at Frontiers in Communications and Networks. He also serves on the review panel of high-impact IEEE transactions and journals. He has also served/serving as a TPC member of major IEEE conferences including IEEE ICC, IEEE CCNC, IEEE SusTech, IEEE BigData, IEEE Sensors, IEEE ICASSP, etc. He has published more than 40 peer-reviewed articles in high-impact journals and international conferences. He is a Senior Member of the IEEE and a Member of IET. He is a chartered engineer (CEng) with the Engineering Council (EC-UK). His current research focuses on edge intelligence, distributed ML, computer vision, and cybersecurity. Title: Intelligent Edge for 6G and Massive IoT Systems Abstract: The Massive Internet of Things (MIoT) systems are emerging as new platforms potentially connecting billions of devices and sensors, enabling a wide range of applications in various domains such as healthcare, agriculture, transportation, and smart cities. The traditional cloud computing platforms are not designed to serve IoT systems and may face several challenges including scalability, reliability, and security to serve the unprecedented demands and QoS requirements of these MIoT systems. Thus, edge computing due to its proximity and an integrated part of 6G networks can not only solve these challenges but also open new opportunities to deploy new IoT applications and services. In addition to efficient and on-demand caching and computing, intelligent edge platforms also enable distributed AI-based services for several industry verticals.
This talk discusses several current edge computing platforms and novel state-of-the-art (SOTA) proposals such as edge-based computation offloading, cooperative edge systems, and distributed training and inference. New research directions will be discussed for prospective researchers in the area of IoT and mobile computing.
Assoc. Prof. Dr. Wael Yafooz
Taibah University, Saudi Arabia
Dr. Wael Yafooz is an associate professor in the Computer Science Department, Taibah University (TU), Saudi Arabia. He has received his PhD in Computer Science in 2014 from University of MARA Technology (UiTM)- Malaysia with research Excellence award with graduate of time status and also an M.S degree in Computer Science with distinction status in 2010 from UiTM. He was hired as a postdoctoral research fellow in the same university. He has more than 15 years of academic experience in teaching, research and leadership roles in other higher education institutions. He served at Al-Madinah international university (MEDIU), Malaysia. He headed the computer science department, deputy dean, and college dean at MEDIU, and served as chair/member of multiple committees at university level. He published approximately 90 research papers in internationally recognized conferences and indexed journals (Scopus and ISI) with high impact factors. He supervised number a of students at PhD and master levels. He served as a member of various committees in many international conferences. Additionally, he chaired IEEE international conferences in Malaysia and China. Furthermore, He delivered and conducted several workshops and presented numerous practical courses in the research area of data management, visualization and curriculum design. He was invited as a speaker in many international conferences held in Bangladesh, Thailand, India, China, Japan and Russia. His research interest includes, Data Mining, Machine Learning, Deep Learning, Natural Language Processing, Social Network Analytics and Data Management. He is the editor of springer books. He acquired multiple research grants. Title: Enhancing Social Media Analysis with Large Language Models
