Welcome to 2023 7th International Conference on Big Data and Internet of Things (BDIOT2023)
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Biosketch: Arumugam Nallanathan is Professor of Wireless Communications and the founding head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007. His research interests include 6G Wireless Networks and Internet of Things (IoT). He published more than 700 technical papers in scientific journals and international conferences. He is a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC’2016), IEEE Global Communications Conference 2017 (GLOBECOM’2017) and IEEE Vehicular Technology Conference 2017 (VTC’2017). He is a co-receipient of IEEE Communications Society Leonard G. Abraham Prize, 2022.
He was an Editor-at-Large for IEEE Transactions on Communications and a senior editor for IEEE Wireless Communications Letters. He was an Editor for IEEE Transactions on Wireless Communications (2006-2011), IEEE Transactions on Vehicular Technology (2006-2017), IEEE Signal Processing Letters and a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC). He served as the Chair for the Signal Processing and Computing for Communications (SPCC-TC) of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016, 2022 and 2023. He is an IEEE Fellow and IEEE Distinguished Lecturer.
Title of Speech: The Role Artificial Intelligence (AI) in Massive Internet of Things (mIoT)
Abstract:Massive Ultra-Reliable and Low-Latency Communications (mURLLC), which integrates URLLC with massive access, is emerging as a new and important service class in the next generation (6G) for time-sensitive traffics and has recently received tremendous research attention. However, realizing efficient, delay-bounded, and reliable communications for a massive number of user equipments (UEs) in mURLLC, is extremely challenging as it needs to simultaneously take into account the latency, reliability, and massive access requirements. To support these requirements, the third generation partnership project (3GPP) has introduced enhanced grant-free (GF) transmission in the uplink (UL), with multiple active configured-grants (CGs) for URLLC UEs. With multiple CGs (MCG) for UL, UE can choose any of these grants as soon as the data arrives, while with single CG (SCG), UE need to wait for the CG period to transmit the packet. In this talk, Machine Learning (ML) approaches in mURLLC systems will be presented. Promising research directions and possible ML solutions will also be discussed.
Biosketch: Hai-Ning Liang is a Professor in the Department of Computing at Xi’an Jiaotong-Liverpool University (XJTLU), China. He was the founding head of the department (2019-2023) and now serves as the Deputy Director of the Suzhou Key Laboratory of Intelligent Virtual Engineering and the XJTLU Virtual Engineering Center. He obtained his PhD from Western University in Canada and does research in human-computer interaction, focusing on virtual/augmented/mixed reality, gaming, and visualization technologies. He has co-authored over 200 peer-reviewed articles in these areas. He is an associate editor for The Visual Computer, Frontiers in Artificial Intelligence, and Frontiers in Virtual Reality.
Title of Speech: Re-conceptualizing Text Entry for Extended Reality Systems via Spatial Interfaces
Abstract: Extended reality (XR) systems are becoming increasingly popular and more widely used, but they are still in their early stages of development and are considered maturing technologies. These wearable devices have the potential to revolutionize how people interact with digital information, offering an ideal platform to reimagine the next generation of interfaces that can support natural and intuitive spatial interactions. Just like touch-enabled mobile devices changed and enriched our understanding of how the keyboard should and could function as one of the primary interfaces between people and these devices, XR systems provide an opportunity for us to redesign and rethink how text entry can be achieved to support better the context and scenario in which these systems are used. In this talk, I will describe the challenges of text entry in XR systems and share several novel techniques and interfaces that our team has developed to improve user experience and performance. These techniques utilize input modalities available in XR systems and leverage people's spatial abilities to create more efficient and usable interfaces that move us away from our standard conception of text entry using constrained finger /hand movements.