ICICSP 2024 Keynote Speaker
Prof. Trung Q. Duong, Memorial University, Canada and Queen's University Belfast, UK
Fellow, IEEE and AAIA
Dr. Trung Q. Duong (IEEE Fellow and AAIA Fellow) is a Canada Excellence Research Chair at Memorial University of Newfoundland, Canada and a Chair Professor in Telecommunications at Queen’s University Belfast, U.K. He is the only UK-based researcher to have received both prestigious awards from the Royal Academy of Engineering: i) the Royal Academy of Engineering Research Fellowship (2015–2020) and ii) Research Chair of Royal Academy of Engineering (2020-2025). His current research interests include quantum machine learning, optimisation, signal processing, and machine learning in wireless communications. He has published 500+ books/bookchapters/papers with 18,500+ citations and h-index 73.
Speech Title: 6G Digital Twin Networks
Abstract: It is expected that there will be 100 Billion ‘Internet-of-Things’ devices by the year 2025. Thus, the need for improved wireless reliability and latency is greater than ever. However, implementing algorithms to ensure low-latency communication for massive numbers of power-constrained mobile devices conflicts directly with the need for ultra-reliability. Recent advances in communication technologies and powerful computation platforms open opportunities to implement a wide range of breakthrough applications, especially for time sensitive services in industrial automation. In terms of communication perspective, 6G with ultra-reliable and low latency communications (URLLC) will play a vital role in the development and deployment of mission-critical applications, which require high demands on reliability and low latency communications. This opens opportunities to enable a wide range of new applications such as virtual reality (VR) with a 360-degree view, factory automation, autonomous vehicles, remote healthcare, etc. In addition, the development of digital twin opens new opportunities for transforming the cyber-physical systems in terms of intelligence, efficiency and flexibility. However, there are still many technical issues to be resolved to achieve high reliability and low latency with digital twin and apply this technology in practical scenarios due to the complexity of resource allocation in short packet transmissions. This talk will discuss digital twin technologies in industrial automation that require high data rates with ultra-reliability at very low latency for which URLLC is a natural choice. This talk discusses a joint communications and computation design of URLLC multi-tier computing in 6G that supports digital twin networks, not only fundamental requirements, but also enabling technologies, visions, and future challenges.
Prof. Yonghui Li, University of Sydney, Australia
Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow. His current research interests are in the area of wireless communications. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received the best paper awards from several conferences. He has published one book, more than 300 papers in premier IEEE journals and more than 200 papers in premier IEEE conferences. His publications have been cited more than 20000 times.
Speech Title:Beyond 5G towards a Super-connected World
Abstract: Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet, referred to as Internet of Things (IoT). The intelligent IoT network for automatic interaction and processing between objects and environments will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness. The attributes and traffic models of IoT networks are essentially different from those of conventional communication systems, which are designed to transmit voice, data and multimedia. IoT access networks face many unique challenges that cannot be addressed by existing network protocols; these include support for a truly massive number of devices, the transmission of huge volumes of data burst in large-scale networks over limited bandwidth, and the ability to accommodate diverse traffic patterns and quality of service (QoS) requirements. Some IoT applications have much stringent latency and reliability requirements which cannot be accommodated by existing wireless networks. Addressing these challenges requires the development of new wireless access technologies, underlying network protocols, signal processing techniques and security protocols. In this talk, I will present the IoT network development, architecture, key challenges, requirements, potential solutions and recent research progress in this area, particularly in 5G and beyond 5G.
Prof. Hongbin Li, Stevens Institute of Technology, USA
Hongbin Li is the Charles and Rosanna Batchelor Memorial Chair Professor at the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. His general research interests include statistical signal processing, machine learning, radars, and wireless communications. He was a member of the SPTM and SAM technical committees of the IEEE Signal Processing Society. He served on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, and Elsevier Signal Processing, and was involved in guesting editing for several IEEE and non-IEEE journals. He received a number of research recognitions including the IEEE Jack Neubauer Memorial Award in 2013 and Provost’s Award for Research Excellence in 2019. He is a Fellow of IEEE. Additional information can be found at: https://www.stevens.edu/profile/hli.