Keynote Speakers 主旨报告人

Keynote Speaker I

Mohsen Guizani

Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE

IEEE Fellow

Mohsen Guizani教授，IEEE 会士，阿联酋穆罕默德·本·扎耶德人工智能大学

Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA in 1985, 1987 and 1990, respectively. He is currently a Professor of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things (IoT), intelligent autonomous systems, and cybersecurity. He became an IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Paper Awards from ICC and Globecom Conferences. He is the author of 11 books, more than 1000 publications and several US patents. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.

Mohsen Guizani（IEEE 会士）分别于 1985 年、1987 年和 1990 年从美国纽约州锡拉丘兹大学获得电气和计算机工程学士（优异成绩）、硕士和博士学位。他目前是阿联酋穆罕默德·本·扎耶德人工智能大学(MBZUAI) 的机器学习教授。此前，他曾在美国的不同机构工作。他的研究兴趣包括应用机器学习和人工智能、智慧城市、物联网 (IoT)、智能自治系统和网络安全。他于 2009 年成为 IEEE 会士，并于 2019 年、2020 年、2021 年和 2022 年被列为 Clarivate Analytics计算机科学领域高被引研究员。Guizani 博士曾获得多项研究奖项，包括“2015 年 IEEE 通信学会最佳调查论文奖”、 2021 年最佳 ComSoc 期刊论文奖以及 ICC 和 Globecom 会议的 5 项最佳论文奖。他是 11 本书、1000 多篇出版物和多项美国专利的作者。他曾担任 IEEE Network 的主编，目前担任许多 IEEE Transactions 和杂志的编辑委员会成员。他曾担任 IEEE 通信协会无线技术委员会主席和 TAOS 技术委员会主席。他目前是 IEEE ComSoc 杰出讲师。

Keynote Speaker II

Moshe Zukerman

City University of Hong Kong, China

IEEE Fellow

Moshe Zukerman教授，IEEE 会士，香港城市大学

Moshe Zukerman received a B.Sc. degree in industrial engineering and management, an M.Sc. degree in operations research from the Technion – Israel Institute of Technology, Haifa, Israel, and a Ph.D. degree in engineering from the University of California, Los Angeles, in 1985. He was an independent consultant with the IRI Corporation and a Postdoctoral Fellow with the University of California, Los Angeles, during 1985–1986. In 1986–1997, he was with Telstra Research Laboratories (TRL), first as a research engineer and between 1988-1997 as a project leader managing a team of researchers providing expert advice to Telstra on network design and traffic engineering, and traffic aspects of evolving telecommunications standards. He also taught and supervised graduate students at Monash University between 1990–2001. During 1997–2008, he was with The University of Melbourne, Victoria, Australia, as a senior research fellow (1997-1998), associate professor (1998-2001), and professor (2001-2008). In 2008 he joined the City University of Hong Kong as a Chair Professor of Information Engineering, and a team leader. Between 2020-2022, he also serves as Acting Chief Information Officer of CityU. He has over 400 publications in scientific journals and conference proceedings and served on various journal editorial boards and contributed to conference organizations and technical committees. He is a Fellow of the IEEE.

Moshe Zukerman 于 1985 年获得了以色列海法理工学院工业工程和管理学学士学位和运筹学硕士学位，并获得了加州大学洛杉矶分校的工程学博士学位。1985 年至 1986 年期间，他曾担任 IRI 公司的独立顾问和加州大学洛杉矶分校的博士后研究员。1986 年至 1997 年期间，他任职于 Telstra 研究实验室 (TRL)，最初担任研究工程师，1988 年至 1997 年期间担任项目负责人，负责管理一个研究团队，为 Telstra 提供有关网络设计和流量工程以及不断发展的电信标准的流量方面的专家建议。1990 年至 2001 年期间，他还在莫纳什大学任教并指导研究生。 1997 年至 2008 年期间，他在澳大利亚维多利亚州墨尔本大学担任高级研究员（1997-1998 年）、副教授（1998-2001 年）和教授（2001-2008 年）。2008 年，他加入香港城市大学，担任信息工程系讲座教授和团队负责人。2020 年至 2022 年期间，他还担任香港城市大学代理首席信息官。他在科学期刊和会议论文集上发表了 400 多篇文章，并担任各种期刊编辑委员会成员，并为会议组织和技术委员会做出了贡献。他是 IEEE 会士。

Keynote Speaker III

Tsung-Hui Chang

The Chinese University of Hong Kong, Shenzhen (CUHKSZ), China

IEEE Fellow

张纵辉教授，IEEE 会士，香港中文大学（深圳）理工学院

Tsung-Hui Chang (Fellow of IEEE) received the B.S. degree in electrical engineering and the Ph.D. degree in communications engineering from the National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2003 and 2008, respectively. From 2012 to 2015, he was an Assistant Professor with the Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan. In August 2015, Dr. Chang joined the School of Science and Engineering (SSE), The Chinese University of Hong Kong, Shenzhen (CUHKSZ), China, as an Assistant Professor, and since August 2018, as an Associate Professor. Prior to being a faculty member, Dr. Chang held research positions with NTHU, from 2008 to 2011, and the University of California, Davis, CA, USA, from 2011 to 2012. His research interests include signal processing and optimization problems in data communications, machine learning and big data analysis. Dr. Chang received the Young Scholar Research Award of NTUST in 2014, IEEE ComSoc Asian-Pacific Outstanding Young Researcher Award in 2015, the prestigious IEEE Signal Processing Society (SPS) Best Paper Award in 2018 and 2021, and the Outstanding Faculty Research Award of SSE, CUHKSZ, in 2021. Dr. Chang is an Elected Member of IEEE SPS Signal Processing for Communications and Networking Technical Committee (SPCOM TC) (2020/01-), the Founding Chair of IEEE SPS Integrated Sensing and Communciation Technical Working Group (ISAC TWG) (2021/07-), and IEEE SPS Regional Director-at-Large of Region 10 (2022/01-). He has served the editorial board for major SP journals, including an Associate Editor (2014/08-2018/12) and Senior Area Editor (2021/02-present) of IEEE TRANSACTIONS ON SIGNAL PROCESSING, and an Associate Editor of IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS (2015/01-2018/12) and IEEE OPEN JOURNAL OF SIGNAL PROCESSING (2020/01-). Dr. Chang was elevated to an IEEE Fellow in the year 2023.

张纵辉，台湾清华大学博士，国家高层次青年人才，IEEE会士，现为香港中文大学（深圳）理工学院副教授、助理院长（主管教育）、广东省大数据计算基础理论与方法重点实验室副主任、深圳市大数据研究院研究员。目前与过去分别担任国际信号处理顶级期刊《IEEE Transactions on Signal Processing》资深领域编委，网络信号处理顶级期刊《IEEE Transactions on Signal and Information Processing over Networks》、《IEEE Open Journal of Signal Processing》编委，IEEE信号处理协会（SPS）感知通信一体化工作组发起人与首届主席和IEEE SPS 董事会亚太区独立主席。张纵辉教授专注于面向无线通信、机器学习的关键信号处理和优化方法的基础研究，已发表IEEE 国际顶级期刊/会议论文130余篇，包括5篇ESI高被引论文，总计被引6000余次。“以优化及信号处理技术对无线通信的贡献”获得2015年IEEE通信学会亚太区杰出青年学者奖；与合作者在鲁棒波束赋形优化方面的基础性工作于2018年获得国际信号处理领域最具影响力的IEEE信号处理协会最佳论文奖；2021年以高效分布式优化方法的开创性工作第二次获得IEEE信号处理协会最佳论文奖（全球获奖超过2次以上仅10人）。近年来主持和参与包括国家自然科学基金重点项目、面上项目、广东省重点项目、深圳市杰出青年项目以及华为、中兴等企业的横向项目10余项。其中“分布式基带架构的新型信道估计算法”获得华为2022年技术成果转化二等奖。

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