Plenary Speakers

Keynotes:

1. Prof. Yong Liang Guan, Nanyang Technological University (NTU), Singapore.

   Title: Multipath Fading with Doppler Spread - Foe or Friend
   Abstract: High-mobility broadband communication channels tend to suffer from fast time-varying multipath fading with large Doppler spread, also known as doubly selective fading. Doubly selective fading becomes more severe when future communications move to higher frequency bands in the mm-wave or sub-THz range. Multipath fading introduces inter-symbol interference (ISI) in single-carrier communication systems, Doppler spread introduces inter-carrier interference (ICI) to multi-carrier communication. Tracking the fast-varying fading channel states also requires more pilot overhead, which cuts communication efficiency. On the other hand, multipath presents frequency diversity, while Doppler effects present time diversity, which are good against signal deep fades. In this talk, I will share recent results in constructing doppler-resilient multipath receivers with low pilot overhead, by exploiting BEM channel modelling, pseudo-pilot, iterative channel estimation and equalization, and other techniques, turning the foes in doubly selective fading channel to diversity benefits.
   Bio: Professor Yong Liang GUAN is an Associate Vice President of the Nanyang Technological University (NTU), Singapore, and a Professor of Communication Engineering at the School of Electrical and Electronic Engineering in NTU. He is also the founder and director of the Continental-NTU Corporate Research Lab. He obtained PhD degree in Electrical and Electronic Engineering (EEE) from the Imperial College London, UK, and Bachelor of Engineering with First Class Honours in EEE from the National University of Singapore. His research interests broadly include coding and signal processing for communication systems and data storage systems. He has published more than 450 journal and conference papers, an invited monograph, and 2 books. He was an editor of the Singapore V2X standard “IMDA TS DSRC Issue 1 Rev 1, October 2017” published by the Infocomm and Media Development Authority (IMDA) of Singapore. He is also an Editor for the IEEE Transactions on Vehicular Technology, and a Distinguished Lecturer of the IEEE Vehicular Technology Society. He has secured over S$70 million of external research funding. He established the Continental-NTU Corporate Lab, Phase-1 Schaeffler Hub for Advance Research, and NTU-NXP V2X Testbed in NTU. He has 40 filed patents and 7 granted patents (some of which were licensed to NXP Semiconductors, Continental Automotive).

Invited Speakers:

1. Mr. Satoshi Nagata, NTT DOCOMO, Japan.

   Title: 6G and NTT DOCOMO's activity
   Abstract: For upcoming 2030 society, 6G research and development activity is ongoing in the world. 5G was mainly taking care enhanced Mobile BroadBand, Ultra-Reliable and Low Latency Communications, massive Machine Type Communication. In 6G, many usecases and requirements are under discussions, and technical features will also be discussed. In this presentation, we show the latest situation of 6G, and our company NTT DOCOMO's activity towards 6G.
   Bio: Satoshi Nagata received his B.E. and M.E. degrees from Tokyo Institute of Technology, Tokyo, Japan, in 2001 and 2003, respectively. In 2003, he joined NTT DOCOMO, INC. He worked on the research and development for wireless access technologies for LTE, LTE-Advanced, and 5G. He had contributed to 3GPP over 15 years, and contributed 3GPP TSG-RAN WG1 as a vice chair during November 2011 to August 2013, and contributed as a chair during August 2013 to August 2017. He had also contributed 3GPP TSG-RAN as a vice chair during March 2017 to March 2021, and currently a vice chair of 3GPP TSG-SA since March 2021.

2. Prof. Jihong Park, Singapore University of Technology and Design (effective from 1 July 2024), Singapore.

   Title: Semantic Communication for 6G: Challenges and Future Directions
   Abstract: TBD
   Bio: Jihong Park is an Associate Professor at the Singapore University of Technology and Design (SUTD) and serves as the Deputy Director for the Future Communications Research and Development Programme (FCP) in Singapore. Before joining SUTD in 2024, he was a Lecturer at Deakin University, Australia. He obtained his B.S. and Ph.D. degrees from Yonsei University, Seoul, Korea, in 2009 and 2016, respectively. He was a Post-Doctoral Researcher at Aalborg University, Denmark, from 2016 to 2017, and at the University of Oulu, Finland, from 2018 to 2019. His recent research focuses on AI-native semantic communication and distributed machine learning for 6G. He frequently organizes and serves as a Program Committee Member for conferences and workshops, including IEEE GLOBECOM, ICC, and INFOCOM, as well as NeurIPS, ICML, and IJCAI. He has been the co-recipient of several prestigious awards, including the 2023 IEEE Communication Society Heinrich Hertz Award and the 2022 FL-IJCAI Best Paper Award. Recently, he co-chaired the 2023 IEEE GLOBECOM Symposium on Machine Learning for Communications. Dr. Park is an Editor of IEEE Transactions on Communications, a Senior Member of IEEE, and has been named in Stanford’s list of the World’s Top 2% Scientists.

3. Prof. Jen-Jee Chen, National Yang Ming Chiao Tung University, Taiwan.

   Title: Generative AI, Multimodal Learning, & Localization
   Abstract: In recent years, generative AI and multi-modal learning have made remarkable advancements, particularly in the fields of computer vision (CV) and the integration of textual and visual data. Generative models, such as GANs (Generative Adversarial Networks), transformers, and diffusion models, have pushed the boundaries of what machines can create and interpret, while multi-modal learning has bridged the gap between different data types, allowing for more holistic and context-aware AI applications. This talk will explore the emerging potential of applying generative AI and multi-modal learning to the domain of localization—an area critical to autonomous navigation, augmented reality, and robotics. We will first discuss how these advanced AI techniques can be leveraged to enhance localization accuracy through multi-modal positioning and synthesis of richer, contextually grounded fingerprint data. Then, motivated by the multi-modality alignment models, such as CLIP and SAM, we will highlight potential research directions and applications for more intelligent and adaptable localization systems.
   Bio: Jen-Jee Chen received the B.S. and M.S. degrees in computer science and information engineering from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2001 and 2003, respectively, and the Ph.D. degree in computer science from NCTU, Hsinchu, Taiwan, in 2009. He was a Visiting Scholar at the University of Illinois, Urbana-Champaign, IL, USA, during the 2007-2008 academic year and a Postdoctoral Research Fellow at the Department of Electrical Engineering, NCTU, Taiwan, during 2010-2011. He is currently an Associate Professor and the Director at the Institute of Intelligent Systems, College of Artificial Intelligence, National Yang Ming Chiao Tung University (NYCU), Taiwan.
   Dr. Chen served as a reviewer of over 30 computer and communication journals such as the Computer Networks, Wireless Networks, IEEE Wireless Communications Letters, and IEEE Trans. on Vehicular Technology, and as a TPC member of over 50 computer and communication conferences such as ICDCS, WCNC, GLOBECOM and NOMS. He received the Best Paper Award at APNOMS 2013 and APNOMS 2019, the Best Paper Award at MC 2012-2015, MC 2017, WASN 2019, and ITAOI 2022, and the Best Poster Award at MC 2017. His research interests include AI, 5G V2X and IoT, and Robotics and Assistive Applications.

4. Prof. Byonghyo Shim, Seoul National University, Korea.

   Title: Generative AI-based Task-oriented Communications for 6G and Beyond
   Abstract: Recently, we have been witnessing the remarkable success and widespread adoption of artificial intelligence (AI) technologies. In particular, considering the rapid advancement of generative AI technology in various disciplines, we expect that generative AI will be widely used for wireless applications in 6G. In this talk, we will discuss how generative AI technology will be used for emerging wireless applications. We will also go over wireless applications using generative AI such as V2X, warehouse, and automatic delivery.
   Bio: Byonghyo Shim received the B.S. and M.S. degrees in control and instrumentation engineering from Seoul National University (SNU), South Korea, in 1995 and 1997, respectively, and the M.S. degree in mathematics and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, Champaign, IL, USA, in 2004 and 2005, respectively. He was an Officer (First Lieutenant) and an Academic Full-Time Instructor with the Department of Electronics Engineering, Korean Air Force Academy from 1997 to 2000, a Staff Engineer with Qualcomm Inc., San Diego, CA, USA, from 2005 to 2007, and an Associate Professor with the School of Information and Communication, Korea University, Seoul, from 2007 to 2014. Since 2014, he has been with SNU, where he is currently a Professor with the Department of Electrical and Computer Engineering and Vice Dean of Engineering College.
   His research interests include wireless communications, statistical signal processing, compressed sensing, and machine learning. He was a recipient of the M. E. Van Valkenburg Research Award from the ECE Department, University of Illinois in 2005, the Haedong Young Engineer Award from IEIE in 2010, the Irwin Jacobs Award from Qualcomm and KICS in 2016, the Shinyang Research Award from the Engineering College of SNU in 2017, the Okawa Foundation Research Award in 2020, the IEEE Comsoc AP Outstanding Paper Award in 2021, and the JCN Best Paper Award in 2024. He is currently serving as an Associate Editor for IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and Journal of Communications and Networks and a Guest Editor for IEEE Journal on Selected Areas in Communications.