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Welcome to ICWOC | 2025年第13届智能计算与无线光通信国际会议

Organizational Structure


Keynote Speakers

 

Jian Song, Tsinghua University, China
宋健教授,清华大学
Fellow IEEE , Fellow IET, Fellow CIE, Fellow CIC

1990年7月清华大学电子工程系信息与通信工程专业本科毕业,曾于1990年获得第一届清华大学特等奖学金。1995年3月获得清华大学电子工程系信息与通信工程专业博士学位,是第一个系内跨学科博士,导师冯重熙教授、范重澄教授和姚彦教授,论文研究方向为光纤通信系统建模和特性仿真。1995年3月留校任教,先后在香港中文大学讯息工程学系和加拿大滑铁卢大学电机与计算机工程系从事博士后研究,方向是光纤通信系统特性的理论分析与仿真研究。1998年进入美国休斯网络系统公司,在ADG (Advanced Development Group)从事研究工作。研究领域涉及无线IEEE 802.11n物理层建议、卫星W-CDMA系统、HAP系统、卫星通信系统特性仿真、电子扫描天线等。2005年1月回到清华大学,现任数字电视技术研究中心主任,兼任广东省和深圳市数字电视系统重点实验室主任。ITU期刊ICT Discoveries主编、IEEE期刊Transactions on Broadcasting的Associate Editor

Professor Jian Song received his B. Eng and PhD degrees from Electronic Engineering Department, Tsinghua University, China in 1990 and 1995, respectively and worked for the same university upon his graduation. He then conducted Postdoctoral research work in The Chinese University of Hong Kong and University of Waterloo, Canada in 1996 and 1997, respectively. Dr. Song then joined the industry in 1998 and has been with the Advance Development Group of Hughes Network Systems in USA for seven years before joining the faculty team in Tsinghua in 2005 as a full professor.
Prof. Song is now the Director of DTV Technology R&D Center of Tsinghua University, Director of National Engineering Laboratory of Digital TV, and the director of Key Laboratory of DTV System of Shenzhen. Tsinghua DTV technology R&D center is one of the major technical contributors for the Chinese digital television terrestrial broadcasting standard with the acronym of DTMB. This center also successfully developed the second generation of DTMB, i.e., DTMB Advanced or DTMB-A. Both standards are the ITU standards, and have been deployed.
The research areas of Prof. Song include wireless communications, digital TV broadcasting, visible light communications, light and health, powerline communications, and network convergence.
Prof. Song is very active in serving the IEEE community, was the founding Editor-in-Chief of ITU Journal of ICT Discoveries, and now the founding Editor-in-Chief of ITU Journal of Intelligent and Converged Networks, the Associate Editor of IEEE Transactions on Broadcasting, and Editor-in-Chief of IEEE Access for BTS section. Prof. Song is the TPC Co-chair of the ISPLC2012, ICC 2012 Co-chair of the Symposium of the selected areas, and the General Chair of IEEE Healthcom 2012, IEEE BMSB 2014, and IEEE SmartGridComm 2019, and has been the technical committee members for many IEEE conferences.
Prof. Song has published over 300 technical journal and conference papers with good citation record, holds over 80 Chinese patents and two US patents, and co-authored several books and book chapters in various areas in communications and broadcasting.

 

Chengxiang Wang, Southeast University, China
王承祥教授,东南大学
Fellow IEEE , Fellow IET, Fellow CIC

王承祥,东南大学首席教授,东南大学信息科学与工程学院执行院长,移动通信全国重点实验室和紫金山实验室教授,博士生导师,欧洲科学院院士,欧洲科学与艺术院院士,英国爱丁堡皇家学会院士,IEEE Fellow(国际电气与电子工程师协会会士),IET Fellow(英国工程技术学会会士),中国通信学会会士。

Cheng-Xiang Wang received the B.Sc. and M.Eng. degrees in communication and information systems from Shandong University, China, in 1997 and 2000, respectively, and the Ph.D. degree in wireless communications from Aalborg University, Denmark, in 2004. He has been with Southeast University, Nanjing, China, as a Professor since 2018, and he is now the Executive Dean of the School of Information Science and Engineering. He is also a Professor with Purple Mountain Laboratories, Nanjing, China. He was with Heriot-Watt University, Edinburgh, U.K., from 2005 to 2018, where he was promoted to a Professor in 2011. He has authored 4 books, 3 book chapters, and more than 560 papers in refereed journals and conference proceedings, including 28 highly cited papers and 16 best paper awards. He has also delivered 30 invited keynote speeches and 18 tutorials in international conferences. His current research interests include wireless channel measurements and modeling, 6G wireless communication networks, and electromagnetic information theory. Prof. Wang is a Member of the Academia Europaea (The Academy of Europe), a Member of the European Academy of Sciences and Arts (EASA), a Fellow of the Royal Society of Edinburgh (FRSE), IEEE, IET, and China Institute of Communications (CIC), an IEEE Communications Society Distinguished Lecturer in 2019 and 2020, and a Highly-Cited Researcher recognized by Clarivate Analytics and Elsevier. He is currently an Executive Editorial Committee Member of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and has served as an Editor for over ten international journals. He served as a TPC Chair, a General Chair, and other chairs for more than 30 international conferences.

 

Alan Pak Tao Lau, The Hong Kong Polytechnic University, Hong Kong, China
刘伯涛, 香港理工大学, 电机及电子系教授兼副系主任
Fellow of Optica

刘伯涛 分别于2003年和2004年在加拿大多伦多大学取得工程科学学位(电子选项)和电机与电脑工程学硕士学位。2008年于美国斯坦福大学取得电子工程学博士学位。刘伯涛其后加入香港理工大学担任助理教授,现任电机及电子系教授兼副系主任(推广及环球事务)。他曾于2019年担任斯坦福大学客座教授
刘教授的研究包括分析建模、数字信号处理技术和机器学习在长距离和短距离光通讯中的应用、光学性能监测、物理感知光网络和光纤传感,并进行了许多破世界传输速度纪录的实验演示。他与华为、阿里巴巴、Corning、NEC Labs等业界广泛合作,并开发了已在商业网络中应用的算法。他与团队参与开源了第一个用于部署光网络的综合大规模物理层数据库,在推进全球用于光网络的机器学习和相关研究社群作出贡献。
刘教授亦非常积极服务全球光通讯专业领域。他曾担任Journal of Lightwave Technology的副主编和Optical Fiber Communications(OFC)的TPC小组委员会主席等。他是OPTICA院士,目前担任IEEE Photonics Society出版委员会成员。他在光通讯及相关领域合编了2本书。

Alan Pak Tao Lau received the B.A.Sc. degree in engineering science (electrical option) and the M.A.Sc. degree in electrical and computer engineering from the University of Toronto, Toronto, ON, Canada, in 2003 and 2004, respectively, and the Ph.D. degree in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2008. He then joined The Hong Kong Polytechnic University as an Assistant Professor and he is currently Professor and Associate Head (Promotions and Global Relations) of the Department of Electrical and Electronic Engineering(EEE), The Hong Kong Polytechnic University. He was also a Visiting Professor of Stanford University in 2019.
Professor Lau’s research includes analytical modelling, digital signal processing techniques and Machine Learning applications to long-haul and short-reach optical communications, optical performance monitoring, physical-aware optical networking and optical fiber sensing with numerous World-record experimental demonstrations in transmission speed. He collaborates extensively with industry such as Huawei, Alibaba, Corning, NEC Labs etc and contributed to the development of algorithms that have been integrated into commercial networks. He also helped open sourced the first comprehensive large-scale physical-layer dataset for deployed optical network for Machine Learning and related research for the optical networking community.
Professor Lau is also very active in serving the community. He was the Associate Editor for Journal of Lightwave Technology(JLT) and TPC subcommittee chair of Optical Fiber Communications (OFC), among others. He is a fellow of OPTICA and currently serves as member of the Publication Council of IEEE Photonics Society. He co-edited 2 books and contribute to a few book chapters in optical communications and related areas.