Meet the ICSSIP 2025 Keynote Speakers
Keynote speaker
Prof. Kun Yang (Fellow of IEEE & IET), Nanjing University, China
Kun Yang received his PhD from University College London (UCL), UK. He is currently the founding Director of the Institute of Nanjing Intelligent Networks and Communications (NINE), Nanjing University, China. He is also an affiliated professor of University of Essex, UK. His main research interests include wireless networks and communications, communication-computing cooperation, and new AI (artificial intelligence) for wireless. He has published 500+ papers and filed 50 patents. He serves on the editorial boards of a number of IEEE journals (e.g., IEEE WCM, TVT, TNB). He is a Deputy Editor-in-Chief of IET Smart Cities Journal. He is the Chair of IEEE ComSoc Smart Grid Communications Technical Committee (2024-2025). He has been a Judge of the GSMA GLOMO Award at World Mobile Congress – Barcelona since 2019. He was a Distinguished Lecturer of IEEE ComSoc (2020-2021) and a Recipient of the 2024 IET Achievement Medals. He is a Member of Academia Europaea (MAE), a Fellow of IEEE, a Fellow of IET and a Distinguished Member of ACM.
Speech Title: AI-enabled Self-driving Communication Networks
Abstract: Modern Artificial Intelligence (AI) has proven to be a powerful enabler that has gained success in many vertical fields. There is a clear evidence of determined effort in the communication and network community to explore the AI power to deliver 6G mobile network’s promises of being faster, greener and smarter. This talk starts with a brief introduction of 6G mobile communication systems, and then looks into how new AI technologies come into play in 6G from different perspectives. It covers new trends in 6G communication research such as data-driven end-to-end communication system design, network architecture and semantic communications, digital twin networks (DTN). One major objective of these researches is to achieve self-driving communication networks where lengthy standardization of such as communication waveforms or protocol design can be somehow reduced or even eliminated, thus enabling 6G to self-drive to versatile requirements from vertical industries.
KEYNOTE SPEAKER
Prof. Tony Quek (Fellow of IEEE), Singapore University of Technology and Design, Singapore
Professor Tony Quek is a tenured professor at SUTD, where he also serves as the Head of the Information Systems Technology and Design (ISTD) pillar, Director of the Future Communications Research and Development Programme (FCP), and Deputy Director of SUTD-ZJU IDEA. He also holds the Cheng Tsang Man Professorship, with a focus on advancing academic and research excellence in the ISTD pillar. His research interests encompass wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G.
Prof Quek has been actively involved in organising and chairing sessions and has served as a TPC member in numerous international conferences. He is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters.
He received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professorship, and the 2022 IEEE Signal Processing Society Best Paper Award. He is an IEEE Fellow, a WWRF Fellow, and a Fellow of the Academy of Engineering Singapore.
Prof Quek co-authored “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation” (Cambridge University Press, 2013) and “Cloud Radio Access Networks: Principles, Technologies, and Applications” (Cambridge University Press, 2016).
He received his BE and ME degrees in Electrical and Electronics Engineering from the Tokyo Institute of Technology, Japan. He earned his PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts.
Speech Title: FROM THEORY TO PRACTICE IN 6G AI-NATIVE NETWORK
Abstract: With 5G cellular technologies being deployed around the world for a few years, the research community has embarked on the pathway to define the sixth generation (6G) wireless system as early as 2018. Based on the timeline, 6G commercial deployment is anticipated to be ready by 2030, following the completion of IMT-2030 specifications. Building on 5G advancements, 6G technology is expected to represent the next transformative step in wireless communication that is needed for future XR and generative AI applications. In this talk, we will share about the outlook of 6G and focus on AI-native network design in 6G. In conclusion, we will also share some of our related work in this area through AI-RAN Alliance and Future Communications R&D Programme.
KEYNOTE SPEAKER
Prof. Guanghui Liu (Senior Member, IEEE), University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China
Guanghui Liu earned his M.Sc. and Ph.D. degrees both in Electronic Engineering from UESTC, Chengdu, China, in 2002 and 2005, respectively. In 2005, he joined Samsung Electronics, Suwon, South Korea, as a Senior Engineer. He returned to UESTC in 2009, serving as an Associate Professor with the School of Electronic Engineering before being promoted to Full Professor in 2014. Since 2022, he has served as the Dean of Glasgow College Hainan, UESTC. His research interests focus on wireless and mobile communications, signal processing for transceiver design, deep learning and its interdisciplinary applications. He has undertaken over 20 scientific research projects, including key projects of the National Natural Science Foundation of China (NSFC) and provincial key research projects, etc. He has published more than 100 academic papers, including over 30 in IEEE Transactions (e.g., IEEE TWC, TCOM, TSP, TIP, TCSVT, TVT, TMM, etc.) and over 40 in CCF-A international conferences (e.g., ICCV, AAAI, ACM MM) as well as IEEE flagship conferences (e.g., ICC, Globecom, VTC, ISCAS, BMSB, etc.). He has filed more than 60 patents, with over 40 granted Chinese patents and 6 US patents. He has been honored with multiple academic awards, including the Second Prize of Natural Science Award, the Second Prize of Science and Technology Progress Award, both from Chinese Ministry of Education, as well as the Sichuan Provincial Science and Technology Progress Award. His research on faster-than-Nyquist (FTN) transmission was recognized with the “Outstanding Technical Cooperation Achievement” award by Huawei Technologies Co., Ltd. in 2021.
Speech Title: Physical-Layer Waveform Design for Mobile Communications
Abstract: Modern mobile communication systems follow a “decade-per-generation” evolution paradigm. While the 1G to 4G prioritized communication capacity enhancement, the fifth-generation (5G) mobile communication system has achieved significant improvements in key performance indicators (KPIs) such as peak data rate, high-speed mobility support, and end-to-end latency. The 5G has opened the door for the Internet of Everything (IoT) by shifting some of its focus from connecting people with enhanced mobile broadband (eMBB) to connecting things with ultra-reliable low-latency communication (URLLC) and massive machine type of communication (mMTC). As the successor to 5G, 6G is supposed to support more vertical application scenarios, which puts forward higher requirements for the physical layer waveform design. The orthogonal frequency division multiplexing (OFDM) waveform adopted in current standards, however, suffers from inherent drawbacks including high peak-to-average power ratio (PAPR), large out-of-band emission (OOBE), and excessive pilot overhead, making it incompetent to support the complex communication scenarios of 6G. Against this backdrop, this talk will focus on the physical-layer waveform design for mobile communications. Specifically, orthogonal time frequency space (OTFS) and affine frequency division multiplexing (AFDM) waveforms are discussed, along with the waveform enhancement schemes, such as faster-than-Nyquist (FTN) transmission as well as index modulation (IM) technology targeting high spectral efficiency requirements. Deep-learning-aided optimization lays a foundation for the end-to-end physical-layer solution based on an all-neural network architecture for next-generation mobile communication systems.