Prof. Mohamed-Slim AlouiniKing Abdullah University of Science and Technology, Saudi Arabia H-index: 136, IEEE Fellow, SPlE Fellow, AAlA FellowMohamed-Slim Alouini, was born in Tunis, Tunisia. In 2009, he became a founding faculty member at King Abdullah University of Science and Technology (KAUST), where he currently is the Al-Khawarizmi Distinguished Professor of Electrical and Computer Engineering and the holder of the UNESCO Chair on Education to Connect the Unconnected. Dr. Alouini is a Fellow of the IEEE, OPTICA, and SPIE and his research interests encompass a wide array of research topics in wireless and satellite communications. He is currently particularly focusing on addressing the technical challenges associated with information and communication technologies (ICT) in underserved regions and is committed to bridging the digital divide by tackling issues related to the uneven distribution, access to, and utilization of ICT in rural, low-income, disaster-prone, and hard-to-reach areas. |
Prof. Zhaocheng WangTsinghua University, China IEEE Fellow/AAIA Fellow/AIIA Fellow/IET Fellow Prof. Zhaocheng Wang, Tenured Professor and Doctoral Supervisor at Tsinghua University, is an IEEE Fellow, AAIA Fellow, AIIA Fellow, and IET Fellow. He is recognized as a Highly Cited Researcher by Clarivate Analytics in the Web of Science, and has been selected as a National Leading Talent (Shenzhen). His long-term research focuses on millimeter-wave/terahertz communications, artificial intelligence, and wireless optical communications for 6G, supporting applications such as high-definition video, virtual reality, and holographic imaging. He has led projects under the National 973 Program, 863 Program, Key Projects of the National Natural Science Foundation of China, as well as industry collaborations with Qualcomm, Huawei, Sony, ZTE, and NTT DOCOMO. He holds 66 authorized U.S./European patents (including 23 as the first inventor) and 45 authorized Chinese patents, with several U.S./European patents adopted by international standards such as WiFi. He has published over 300 SCI-indexed papers in journals including Nature sub-journals and IEEE JSAC, accumulating over 13,000 citations on Web of Science and 23,000 citations on Google Scholar. |
Prof. Dusit (Tao) NiyatoNanyang Technological University (NTU)IEEE Fellow, IET Fellow Dusit Niyato is currently a President's Chair Professor in the College of Computing & Data Science (CCDS), Nanyang Technological University, Singapore. Dusit's research interests are in the areas of distributed collaborative machine learning, Internet of Things (IoT), edge intelligent generative AI and AI-generated content (AIGC), mobile and distributed computing, and wireless networks. Currently, Dusit is serving as Editor-in-Chief of IEEE Communications Surveys and Tutorials (impact factor of 34.4 for 2023), an area editor of IEEE Transactions on Vehicular Technology, editor of IEEE Transactions on Wireless Communications, associate editor of IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, IEEE Wireless Communications, ACM Computing Surveys and so on. He was also a guest editor of IEEE Journal on Selected Areas on Communications. He is the Members-at-Large to the Board of Governors of IEEE Communications Society for 2024-2026. He was named the 2017-2023 highly cited researcher in computer science. He is a Fellow of IEEE and a Fellow of IET. |
Prof. Zhengyuan XuUniversity of Science and Technology of China Prof. Zhengyuan Xu is the founding director of the multi-campus Center for Ubiquitous Communication by Light, University of California, and founding director of Wireless-Optical Communications Key Laboratory of Chinese Academy of Sciences. He is a distinguished expert, chief scientist of the National Key Basic Research Program of China, and National Key Research and Development Program of China. His research focuses on Petahertz communications, optical wireless communications, mobile networking, artificial intelligence, wireless big data, sensing, ranging and localization. He has published over 400 international journal and conference papers, co-authored 3 books, and has been authorized more than 30 invention patents. He has been on the Elsevier annual list of Most Cited Chinese Researchers since 2014 and received more than 13000 Google Scholar citations. He has served as an Associate Editor for different IEEE/OPTICA journals and a founding chair of the First IEEE Workshop on Optical Wireless Communications in 2010. |
Prof. Liang YangHunan University, China Professor Liang Yang is a Professor and Doctoral Supervisor. His primary research focuses on wireless communications and optical wireless communications. He has published over 130 papers in IEEE journals, including 8 Highly Cited Papers and 2 Hot Papers, with an H-index of 41 on both Google Scholar and ResearchGate. He has been consecutively named to the Stanford University World's Top 2% Scientists list for five years and selected as an Elsevier Highly Cited Chinese Researcher in 2023 and 2024. He has led 5 projects funded by the National Natural Science Foundation of China (NSFC) and served as principal investigator for one project under the National Key R&D Program of China. Additionally, he participated as the project leader in one Key Project of the NSFC Regional Innovation and Development Joint Fund. Professor Yang serves on the editorial boards of several international journals. He was awarded the Guangdong Provincial Outstanding Doctoral Dissertation in 2007. He also serves as Vice President of the Hunan Electronics Society. |
Prof. Shancheng ZhaoJinan University, China Professor Shancheng Zhao has long been engaged in research on efficient transmission theory and technology, accumulating extensive research experience in areas such as error-correcting code construction. He has published multiple papers in leading journals including IEEE Transactions on Communications and holds several invention patents. His research achievements earned him the Best Paper Award at IEEE GlobeCom 2015, a flagship conference in the communications field. His research group currently focuses on intelligent communication and information processing technologies, including statistical learning-based decoding. |