Speakers | 特邀报告
ICBDA 2021 Keynote Speakers
Prof. Zhu Han (韩竹教授) - IEEE Fellow
University of Houston, USA
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han has been IEEE fellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according to Web of Science since 2017.
IEEE Fellow
IEEE Fellow since 2014 for contributions to resource allocation and security in wireless communications
Web of Science top 1% most cited, Highly Cited Researcher since 2017
Prof. Hai Jin (金海教授) - IEEE Fellow
Huazhong University of Science and Technology, China (华中科技大学)
Hai Jin received the PhD degree in computer engineering from Huazhong University of Science and Technology, in 1994. He is a Cheung Kung scholars chair professor of computer science and engineering with Huazhong University of Science and Technology. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. He worked with The University of Hong Kong between 1998 and 2000, and as a visiting scholar with the University of Southern California between 1999 and 2000. His research interests include computer architecture, virtualization technology, cluster computing and cloud computing, peer-to-peer computing, network storage, and network security. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001. He is the chief scientist of ChinaGrid, the largest grid computing project in China, and the chief scientists of National 973 Basic Research Program Project of Virtualization Technology of Computing System, and Cloud Security. He has co-authored 22 books and published more than 700 research papers. He is a fellow IEEE, CCF, and a life member of the ACM.
IEEE Fellow, CCF Fellow, Changjiang Distinguished Professor
Prof. Huajun Chen (陈华钧教授)
Zhejiang University, China (浙江大学)
Huajun Chen is a professor of College of Computer Science and Technologies of Zhejiang University. Currently, he serves as the Editor-in-Chief of Elsevier Journal of Big Data Research (JCR Q1/Q2), director of ZJU-Alibaba joint lab on Knowledge Engine，deputy director of the Key Lab of Big Data Intelligence at Zhejiang Province. He is the general chair of CCKS2020 (China Conference on Knowledge Graph and Semantic Computing), and was the general chair of JIST2019 (Joint International Semantic Technologies Conference). He received his bachelor's degree and a PhD from Zhejiang University in 2000 and 2004 respectively. He worked as a visiting assistant professor at Yale Center for Medical Informatics of Yale University (From 2006 to 2007), and a visiting scholar at School of Computer Science of Carnegie Mellon University (From 2007 to 2008). He once won the best paper award of ISWC2006 (International Semantic Web Conference), Alibaba Academic Excellence Awards (2019), Broadview Most-Influential Book of Year Award 《The Knowledge Graph》 (2019). His main research interests include knowledge graph, ontologies and the Semantic Web, big data technologies, information extraction and natural language processing.
Elsevier Big Data Research Journal (JCR Q1/Q2, IF=2.95) Editor in Chief
Deputy director of the Key Lab of Big Data Intelligence at Zhejiang Province
Prof. Qing Li (李青教授)
The Hong Kong Polytechnic University, Hong Kong (香港理工大学)
Qing Li is currently a Chair Professor (Data Science) and the Head of the Department of Computing, the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC), and a Professor at City University of Hong Kong where he worked in the Department of Computer Science from 1998 to 2018. Prior to these, he has also taught at the Hong Kong University of Science and Technology and the Australian National University (Canberra, Australia). Prof. Li served as a consultant to Microsoft Research Asia (Beijing, China), Motorola Global Computing and Telecommunications Division (Tianjin Regional Operations Center), and the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has been an Adjunct Professor of the University of Science and Technology of China (USTC) and the Wuhan University, and a Guest Professor of the Hunan University (Changsha, China) where he got his BEng. degree from the Department of Computer Science in 1982. He is also a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China) -- the leading university of the Zhejiang province where he was born. Prof. Li has been actively involved in the research community by serving as an associate editor and reviewer for technical journals, and as an organizer/co-organizer of numerous international conferences. Some recent conferences in which he is playing or has played major roles include APWeb-WAIM'18, ICDM 2018, WISE2017, ICDSC2016, DASFAA2015, U-Media2014, ER2013, RecSys2013, NDBC2012, ICMR2012, CoopIS2011, WAIM2010, DASFAA2010, APWeb-WAIM'09, ER'08, WISE'07, ICWL'06, HSI'05, WAIM'04, IDEAS'03,VLDB'02, PAKDD'01, IFIP 2.6 Working Conference on Database Semantics (DS-9), IDS'00, and WISE'00. In addition, he served as a programme committee member for over fifty international conferences (including VLDB, ICDE, WWW, DASFAA, ER, CIKM, CAiSE, CoopIS, and FODO). He is currently a Fellow of IET/IEE, a Senior Member of IEEE, a member of ACM-SIGMOD and IEEE Technical Committee on Data Engineering. He is the chairperson of the Hong Kong Web Society, and also served/is serving as an executive committee (EXCO) member of IEEE-Hong Kong Computer Chapter and ACM Hong Kong Chapter. In addition, he serves as a councilor of the Database Society of Chinese Computer Federation (CCF), a member of the Big Data Expert Committee of CCF, and is a Steering Committee member of DASFAA, ER, ICWL, UMEDIA, and WISE Society.
Head of the Department of Computing, the Hong Kong Polytechnic University, IEEE Senior Member
Prof. Hayato YAMANA
Waseda University, JAPAN (日本早稻田大学)
Hayato YAMANA received his Dr. Eng. degree at Waseda University in 1993. He began his career at the Electrotechnical Laboratory (ETL) of the former Ministry of International Trade and Industry (MITI), and was seconded to MITI's Machinery and Information Industries Bureau for a year in 1996. He was subsequently appointed Associate Professor of Computer Science at Waseda University in 2000, and has been a professor since 2005. From 2003 to 2004, he was IEEE Computer Society Japan Chapter Chair. Since 2015, he has been director of IPSJ (Information Processing Society of Japan) and vice chairman of information and communication society of IEICE (the institute of electronics, information and communication engineers). At Waseda University, he has been deputy Deputy Chief Information Officer and WasedaX project director since 2015. His research area is big data analysis. Currently, his group engages in Japanese government funded project called “Secure Data Sharing and Distribution Platform for Integrated Big Data Utilization - Handling all data with encryption.” For more information, please refer to http://www.yama.info.waseda.ac.jp/crest/
IEEE Computer Society
2018-2020 Board of Governors