Xuemin (Sherman) Shen
University of Waterloo, Canada
Xuemin (Sherman) Shen (M’97–SM’02–F’09) received the Ph.D. degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, AI for networks, and vehicular networks. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society
Dr. Shen received “West Lake Friendship Award” from Zhejiang Province in 2023, President's Excellence in Research from the University of Waterloo in 2022, the Canadian Award for Telecommunications Research from the Canadian Society of Information Theory (CSIT) in 2021, the R.A. Fessenden Award in 2019 from IEEE, Canada, Award of Merit from the Federation of Chinese Canadian Professionals (Ontario) in 2019, James Evans Avant Garde Award in 2018 from the IEEE Vehicular Technology Society, Joseph LoCicero Award in 2015 and Education Award in 2017 from the IEEE Communications Society (ComSoc), and Technical Recognition Award from Wireless Communications Technical Committee (2019) and AHSN Technical Committee (2013). He has also received the Excellent Graduate Supervision Award in 2006 from the University of Waterloo and the Premier’s Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is the President of the IEEE Communications Society. He was the Vice President for Technical & Educational Activities, Vice President for Publications, Member-at-Large on the Board of Governors, Chair of the Distinguished Lecturer Selection Committee, and Member of IEEE Fellow Selection Committee of the ComSoc. Dr. Shen served as the Editor-in-Chief of the IEEE IoT JOURNAL, IEEE Network, and IET Communications.
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Geoffrey Ye Li
Imperial College London, UK
Geoffrey Ye Li has been a Chair Professor at Imperial College London, UK, since 2020. Before moving to Imperial, he was a Professor with Georgia Institute of Technology, USA, for 20 years and a Principal Technical Staff Member with AT&T Labs - Research in New Jersey, USA, for five years. His general research interests include statistical signal processing and machine learning for wireless communications. In the related areas, he has published over 600 journal and conference papers in addition to over 40 granted patents and several books. His publications have been cited over 50,000 times with H-index 100 and he has been recognized as a Highly Cited Researcher, by Thomson Reuters, almost every year. Dr. Geoffrey Ye Li was awarded IEEE Fellow and IET Fellow for his contributions to signal processing for wireless communications. He won several prestigious awards from IEEE Signal Processing Society (Donald G. Fink Overview Paper Award in 2017), IEEE Vehicular Technology Society (James Evans Avant Garde Award in 2013 and Jack Neubauer Memorial Award in 2014), and IEEE Communications Society (Stephen O. Rice Prize Paper Award in 2013, Award for Advances in Communication in 2017, and Edwin Howard Armstrong Achievement Award in 2019). He also received the 2015 Distinguished ECE Faculty Achievement Award from Georgia Tech. He has been involved in editorial activities for over 20 technical journals, including the founding Editor-in-Chief of IEEE JSAC Special Series on ML in Communications and Networking. He has organized and chaired many international conferences, including technical program vice-chair of the IEEE ICC’03, general co-chair of the IEEE GlobalSIP’14, the IEEE VTC’19 (Fall), and the IEEE SPAWC’20.
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Sumei Sun
Agency for Science, Technology and Research (A*STAR), Singapore
Dr Sumei Sun is the Executive Director of the Institute for Infocomm Research (I2R), A*STAR, Singapore. A*STAR I2R focuses on multi-disciplinary digital technologies research including artificial intelligence (AI), communications and connectivity, and cyber security. Sumei’s current research interests include next-generation wireless communications, cognitive communications and networks, communications-computing-control integrative design, applied AI, industrial internet of things, and signal intelligence. She also holds a joint appointment with the Singapore Institute of Technology, and an adjunct appointment with the National University of Singapore, both as a full professor.
With strong passion in industry-relevant research and technology creation, Sumei has authored and co-authored more than 300 technical papers and received three best paper awards. She is the inventor/co-inventor of over thirty patented technologies, with most of them licensed to industries. She’s a Fellow of the IEEE and the Academy of Engineering Singapore, and recipient of the 2023 IEEE VTS Women’s Distinguished Career Award and Singapore National Day 2022 Public Administration Medal (Bronze).
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Zhisheng Niu
Tsinghua University, China
Zhisheng Niu (Fellow, IEEE) graduated from Beijing Jiaotong University, China, in 1985. He received the M.E. and D.E. degrees from the Toyohashi University of Technology, Japan, in 1989 and 1992, respectively.,From 1992 to 1994, he worked with Fujitsu Laboratories Ltd., Japan. In 1994, he joined Tsinghua University, Beijing, China, where he is currently a Professor with the Department of Electronic Engineering. His major research interests include queueing theory, traffic engineering, mobile Internet, radio resource management of wireless networks, and green communication and networks. He received the Best Paper Award of Asia–Pacific Board in 2013, the Distinguished Technical Achievement Recognition Award of Green Communications and Computing Technical Committee in 2018, and the Harold Sobol Award for Exemplary Service to Meetings and Conferences in 2019, all from IEEE Communications Society. He served IEEE Communications Society as the Chair of Beijing Chapter from 2000 to 2008, the Director of Asia-Pacific Board from 2008 to 2009, the Director for Conference Publications from 2010 to 2011, the Chair of Emerging Technologies Committee from 2014 to 2015, and the Director for Online Contents from 2018 to 2019. He is currently the Editor-in-Chief of IEEE Transactions on Green Communications and Networking. He was selected as a Distinguished Lecturer of IEEE Communications Society from 2012 to 2015 as well as IEEE Vehicular Technologies Society from 2014 to 2018. He is a Fellow of IEICE.
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Meixia Tao
Shanghai Jiao Tong University, China
Meixia Tao (Fellow, IEEE) received the B.S. degree in electronic engineering from Fudan University, Shanghai, China, in 1999, and the Ph.D. degree in electrical and electronic engineering from The Hong Kong University of Science and Technology in 2003.,She is currently a Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. Her current research interests include wireless edge learning, coded caching, reconfigurable intelligence surfaces, and semantic communications.,Dr. Tao received the 2019 IEEE Marconi Prize Paper Award, the 2013 IEEE Heinrich Hertz Award for Best Communications Letters, the IEEE/CIC International Conference on Communications in China (ICCC) 2015 Best Paper Award, and the International Conference on Wireless Communications and Signal Processing (WCSP) 2012 and 2022 Best Paper Awards. She also received the 2009 IEEE ComSoc Asia–Pacific Outstanding Young Researcher Award. She also served as the TPC Co-Chair for IEEE ICC 2023. She is an Associate Editor of the IEEE Transactions on Information Theory and an Editor-at-Large of the IEEE Open Journal of the Communications Society. She served as a member of the Executive Editorial Committee for the IEEE Transactions on Wireless Communications (2015–2019). She was also on the editorial board of several other journals as an Editor or the Guest Editor, including the IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications.
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Fumiyuki Adachi
Tohoku University, Japan
Fumiyuki Adachi received the B.S. and Dr. Eng. degrees in electrical engineering from Tohoku University, Sendai, Japan, in 1973 and 1984, respectively. In April 1973, he joined the Electrical Communications Laboratories of NTT and started mobile communications research. From July 1992 to December 1999, he was with NTT DOCOMO, where he led a research group on wideband/broadband wireless access for 3G and beyond. He contributed to the development of 3G air interface standard, known as W-CDMA. From October 1984 to September 1985, he was a United Kingdom SERC Visiting Research Fellow in the Department of Electrical Engineering and Electronics at Liverpool University. Since January 2000, he has been with Tohoku University, Sendai, Japan. Currently, he is leading a resilient wireless communication research group with the aim of realizing beyond 5G systems as a Specially Appointed Research Fellow/Professor Emeritus at the International Research Institute of Disaster Science (IRIDeS), Tohoku University. His research interests are in the area of wireless signal processing and networking, including multi-access, equalization, antenna diversity, cooperative transmission, channel coding, radio resource management, etc.
Fumiyuki Adachi is an IEEE Life Fellow and an IEICE Life Fellow. He is a recipient of IEEE VTS Avant Garde Award 2000 for the pioneering leadership and continuing contributions in promoting new technology in the field of vehicular communications and electronics, IEICE Achievement Award 2002 for the pioneering leadership and contributions for 3rd generation mobile communications system’s development, Thomson Scientific Research Front Award 2004 for Research and development of wideband mobile wireless communication technology using code division multiple access, Prime Minister Invention Award 2010 for the invention of W-CDMA fast cell search technique, C&C Prize 2014 for outstanding leadership and contributions promoting the development and commercialization of digital mobile communications systems, IEEE VTS Stuart Meyer Memorial Award 2017 for significant research contributions and exceptional community service with respect to advanced wireless signal processing algorithms for mobile radio, IEEE ComSoc RCC Technical Recognition Award 2017 for outstanding contributions to the development of mobile radio systems, etc
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Honggang Zhang
Zhejiang Laboratory, China
Honggang Zhang (Fellow, IEEE) is the Chief Managing Editor of Intelligent Computing, a Science Partner Journal (SPJ), as well as a Professor with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China. He was an Honorary Visiting Professor with the University of York, York, U.K., and an International Chair Professor of Excellence with the Université Européenne de Bretagne and Supélec, France. He has coauthored and edited two books: Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (Wiley) and Green Communications: Theoretical Fundamentals, Algorithms and Applications (CRC Press). His research interests include cognitive radio and networks, green communications, machine learning, artificial intelligence, semantic communications, mobile computing, and the Internet of Intelligence (IoI). He is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and the 2021 IEEE Internet of Things Journal Best Paper Award. He was the leading Guest Editor for the Special Issues on Green Communications of the IEEE Communications Magazine. He served as a Series Editor for the IEEE Communications Magazine (Green Communications and Computing Networks Series) from 2015 to 2018 and the Chair of the Technical Committee on Cognitive Networks of the IEEE Communications Society from 2011 to 2012. He is the Associate Editor-in-Chief of China Communications.
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Jianhua Zhang
Beijing University of Posts and Telecommunications, China
Jianhua Zhang, a professor at Beijing University of Posts and Telecommunications and Fellow of China Institute of Communications. She is currently the Deputy Dean of the School of Science at BUPT, director of the Joint Innovation Center of Beijing University of Posts and Telecommunications and China Mobile Research Institute, a deputy of the 16th People's Congress of Beijing, an associate of China Institute of Communications, a member of the CCSA Council, the leader of the China’s IMT-2030 (6G) Channel Measurement and Modelling Working Group and the deputy leader of the Frequency Sub-group, and the deputy head of the Frequency Sub-group of the IMT-2020 (5G) Promotion Group, and IEEE ComSoc Channel Modeling subgroup. Her research fields cover broadband mobile communication channel modeling theory and transmission technology. She has won the second prize of the National Technological Invention Award twice, the 18th China Young Women Scientist Award, the First Prize of the Institute of Communication for Technical Invention, the First Prize of Institute of Electronics for Science and Technology, the First Prize of Institute of Radio Management for Science and Technology, Mao Yisheng Youth Science and Technology Award, the Outstanding Science and Technology Worker of the Institute of Electronics, Excellent Young Expert Award from Engineering, Distinguished Corresponding Expert Award from Frontiers of Information Technology & Electronic Engineering, Top 2% Scientists on Stanford Award, and was funded by the National Science Fund for Distinguished Young Scholars, "Gold Medal" at the International Exhibition of Inventions, Geneva, the Science Fund for Outstanding Young Scholars, the New Century Excellent Talents of the Ministry of Education and the Excellent Undergraduate Education Team Award in Beijing.
Speech Title: 6G Channel Research Recent Progress: Modeling, Prediction and Digital Twin
Abstract: With the global commercialization of fifth-generation (5G) communication, research and standardization of sixth-generation (6G) technology have been undertaken worldwide. Channel research is a prerequisite for evaluating and optimizing 6G technology. This report presents research on channel measurement, modeling, prediction and digital twin for 6G. Firstly, it summarizes the significance and trends of 6G channel research, focusing on the discussion of 6G requirements and the challenges that 6G enabling technology poses to channel measurement and modeling. To address these challenges, the report introduces the latest research progress of our group in terms of channel measurement, modeling and simulation on RIS, Massive MIMO, and ISAC, among others. Then, some recent advances on 6G channel predication and digital twin are presented. Finally, open issues for future research are discussed to provide insights into 6G channel research.