陈俊龙（C. L. Philip Chen）博士是华南理工大学特聘讲席教授，博导，计算机科学与工程学院院长；欧洲科学院外籍院士，欧洲科学与艺术学院院士，中国自动化学会副理事长，曾任澳门大学科技学院院长，美国美国德州大学工学院终身教授，工学院副院长及电机计算机系主任。陈教授是IEEE Fellow，美国科学促进会AAAS Fellow，IAPR Fellow，香港工程师学会 Fellow，我国自动化学会的Fellow及常务理事。陈教授现任IEEE Transactions on Cybernetics 期刊主编，曾任 IEEE Transactions on Systems, Man, and Cybernetics: Systems 期刊主编 （2014-2019）。陈教授曾任该学会国际总主席（President，2012-2013），担任IEEE SMC学会 IEEE Fellow 的评审委员主席，常务理事及杰出演讲师。 陈教授在国际重要学术刊物上发表论文500余篇，其中SCI文章400余篇（300余篇在IEEE Transactions），在Web of Science 他人引用17000余次，谷歌学术引用30000余次。2016年他获得了母校—美国普度大学的杰出电机及计算机工程奖（Outstanding Electrical and Computer Engineering Award）。2018年获 IEEE系统人机控制论的最高学术奖--IEEE 诺伯特·维纳奖(Norbert Wiener Award)。2018、2019、2020连续三年入选科瑞唯安（Clarivate）全球高被引科学家。

Jinde Cao (Fellow, IEEE) received the B.S. degree from Anhui Normal University, Wuhu, China, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, all in mathematics/applied mathematics, in 1986, 1989, and 1998, respectively. He was a Postdoctoral Research Fellow at the Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, from 2001 to 2002. He is an Endowed Chair Professor, the Dean of the School of Mathematics and the Director of the Research Center for Complex Systems and Network Sciences at Southeast University (SEU). He is also the Director of the National Center for Applied Mathematics at SEU-Jiangsu of China and the Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China. Dr. Cao was a recipient of the National Innovation Award of China, Obada Prize and the Highly Cited Researcher Award in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He is elected as a member of Russian Academy of Sciences, a member of the Academy of Europe, a member of Russian Academy of Engineering, a member of the European Academy of Sciences and Arts, a member of the Lithuanian Academy of Sciences, a fellow of African Academy of Sciences, and a fellow of Pakistan Academy of Sciences.

王中风博士，国家特聘专家、IEEE Fellow和AAIA Fellow，VLSI Signal Processing领域国际著名专家。获清华大学学士、硕士及明尼苏达大学博士学位。先后任职于美国国家半导体公司、俄勒冈州立大学和博通公司，历任博通高级主任科学家和技术总监，现任南京大学特聘教授和微电子学院副院长。累计参与十余款商用芯片设计，总产值超百亿元。拥有数十项发明专明，发表350余篇国际期刊和会议论文，7次荣获IEEE主流会议和会刊的年度最佳论文奖。多次担任IEEE不同会刊的编委和客座编辑，数十次担任各种国际会议的技术委员和各类主席。有关技术方案已经被近20种网络通信国际标准采纳。

Dr. Zhongfeng Wang received both the B.E. and M.S. degrees in the Dept. of Automation at Tsinghua University, Beijing, China, in 1988 and 1990, respectively. He obtained the Ph.D. degree from the University of Minnesota, Minneapolis, in 2000. He has been working for Nanjing University, China, as a Distinguished Professor since 2016. Previously he worked for Broadcom Corporation, California, from 2007 to 2016 as a leading VLSI architect. Before that, he worked for Oregon State University and National Semiconductor Corporation.
Dr. Wang is a world-recognized expert on Low-Power High-Speed VLSI Design for Signal Processing Systems. He has published over 350 technical papers with multiple best paper awards received from the IEEE technical societies, among which is the VLSI Transactions Best Paper Award of 2007. He has edited one book VLSI and held more than 20 U.S. and China patents. In the current record, he has had many papers ranking among top 25 most (annually) downloaded manuscripts in IEEE Trans. on VLSI Systems. In the past, he has served as Associate Editor for IEEE Trans. on TCAS-I, T-CAS-II, and T-VLSI for many terms. He has also served as TPC member and various chairs for tens of international conferences. Moreover, he has contributed significantly to the industrial standards. So far, his technical proposals have been adopted by nearly 20 international networking standards. In 2015, he was elevated to the Fellow of IEEE for contributions to VLSI design and implementation of FEC coding. His current research interests are in the area of Optimized VLSI Design for Digital Communications and Deep Learning.

徐志伟，现任中国科学院计算技术研究所研究员、学术委员会主任，中国科学院大学岗位教授。1982年获电子科技大学学士学位，1984年获美国普度大学硕士学位，1987年获美国南加州大学博士学位。长期从事高性能计算体系结构与分布式系统研究。历任曙光信息产业有限公司总工程师，中科院计算所研究员、副所长、总工程师、学位委员会主任、学术委员会主任。出版《Scalable Parallel Computing》、《计算机科学导论》等著作多部。提出了普惠计算、人机物三元计算、算礼等学术思想，向国际社区贡献了大数据云计算开源软件。曾获得国家杰出青年科学基金、国家科技进步奖、中国计算机学会王选奖。

Linglong Dai (M’11-SM’14-F’22) received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor from 2013 to 2016, an Associate Professor from 2016 to 2022, and a Professor since 2022. His research area is transmission theory and technology for wireless communications, with the research topics including massive MIMO, reconfigurable intelligent surface (RIS), millimeter-wave and terahertz communications, machine learning for wireless communications, and electromagnetic information theory (EIT).

He has published over 80 IEEE journal papers and over 50 IEEE conference papers. He also holds 21 granted patents. He co-authored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received 5 IEEE conference Best Paper Awards. He has also received the Tsinghua University Outstanding Ph.D. Graduate Award in 2011, the Beijing Excellent Doctoral Dissertation Award in 2012, the National Excellent Doctoral Dissertation Nomination Award in 2013, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the Second Prize of Science and Technology Award of China Institute of Communications in 2016, the Electronics Letters Best Paper Award in 2016, the IEEE Communications Letters Exemplary Editor Award in 2017, the National Natural Science Foundation of China for Outstanding Young Scholars in 2017, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, the 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award in 2018, the China Communications Best Paper Award in 2019, the IEEE Access Best Multimedia Award in 2020, the China Communications Best Editor Award in 2020 and 2021, the IEEE ComSoc Leonard G. Abraham Prize in 2020, the IEEE ComSoc Stephen O. Rice Prize in 2022, and the IEEE ICC Outstanding Demo Award in 2022. He was listed as a Highly Cited Researcher by Clarivate from 2020 to 2022. He was elevated as an IEEE Fellow in 2022.

He has received the First Prize of the 11th Beijing Municipal Young College Teachers' Basic Teaching Skills Competition. The first Ph.D. student under his supervision has received the 2018 Tsinghua University Grand Scholarship (the highest award for Tsinghua students), the second Ph.D. student has received the 2019 Paul Baran Young Scholar (the only one student from mainland China up to now), and the first Master student has received the Chinese Institute of Electronics Excellent Master Thesis Award. He has also guided three undergraduate students to win the National Grand Award of the 16th “Challenge Cup” Technological Innovation Competition (the highest award), and three undergraduate students to receive the Tsinghua University Grand Scholarship in 2014, 2016, and 2021, respectively.

He is a Co-Chair of the Information Service Committee, IEEE ComSoc Asia Pacific Board, a Co-Chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. He has served as the Secretary of the IEEE ComSoc Asia Pacific Board (2020-2021). He is currently serving as an Area Editor of the IEEE Communications Letters, and an Editor of the IEEE Transactions on Wireless Communications. He has also served as an Editor of the IEEE Transactions on Communications (2017-2021), an Editor of the IEEE Transactions on Vehicular Technology (2016-2020), and an Editor of the IEEE Communications Letters (2016-2020). He has also served as a Guest Editor of the IEEE Journal on Selected Areas in Communications, IEEE Journal of Selected Topics in Signal Processing, IEEE Wireless Communications, etc.