Prof. Jay Guo

IEEE Fellow, ATSE Fellow, IET Fellow

Director of Global Big Data Technologies Centre
Distinguished Professor
University of Technology, Sydney, Australia

Speech title : Big Data Technologies for 6G – From Sensing to Digital Twin ( Download the speech abstract )

Bio: Dr Y. Jay Guo is a Distinguished Professor and the Director of Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS), and the Founding Technical Director of New South Wales Connectivity Innovation Network (CIN), Australia. Prior to joining UTS in 2014, he served as a Research Director in CSIRO for over nine years. Before joining CSIRO, he held various senior technology leadership positions in Fujitsu, Siemens and NEC in the U.K. His research interest includes B5G, 6G, mm-wave and THz communications and sensing systems as well as big data technologies such as AI and digital twin.
Prof Guo is currently the representative of the Australian Academy of Engineering and Technology (ATSE) in the Standards Australia IoT and Digital Twin Committee. He has published five books and over 600 research papers including over 300 transaction papers in top tier journals, and he holds 26 patents.
Prof Guo is a Fellow of the Australian Academy of Engineering and Technology, a Fellow of IEEE and a Fellow of IET. He has won a number of most prestigious Australian Engineering Excellence Awards and CSIRO Chairman’s Medal. He was named one of the most influential engineers in Australia in 2014 and 2015, and one of the top researchers across all fields in Australia in 2020 and 2021, respectively. He and his students have won numerous international best paper awards.

Prof. Sharad Mehrotra

IEEE Fellow

Director of the Center for Emergency Response Technologies (CERT)
Director and PI of the RESCUE project (Responding to Crisis and Unexpected Events)
University of California, Irvine, USA

Speech title :  Data Management in the Era of IoT Applications

Bio: Sharad Mehrotra received the PhD degree in computer science from the University of Texas, Austin, in 1993. He is currently a professor in the Department of Computer Science, University of California, Irvine. Previously, he was a professor with the University of Illinois at Urbana Champaign. He has received numerous awards and honors, including the 2011 SIGMOD Best Paper Award, 2007 DASFAA Best Paper Award, SIGMOD test of time award, 2012, DASFAA ten year best paper awards for 2013 and 2014, ACM ICMR best paper award for 2013, IEEE NCA Best paper award for 2019, Dean’s Award for Research 2016, and CAREER Award in 1998 from the US National Science Foundation (NSF). He is a fellow of the IEEE. His primary research interests include areas of database management, distributed systems, secure databases, privacy, and Internet of Things.

Prof. Yew-Soon Ong

IEEE Fellow

Founding Editor-In-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence
President's Chair Professor of Computer Science
Nanyang Technological University, Singapore

Speech title :  To be added soon.

Bio: Yew-Soon Ong (Fellow of IEEE) received the Ph.D. degree in artificial intelligence in complex design from the University of Southampton, U.K., in 2003. He is President’s Chair Professor in Computer Science at Nanyang Technological University (NTU), and is the Chief Artificial Intelligence Scientist of the Agency for Science, Technology and Research in Singapore. At NTU, he also serves as Director of the Singtel-NTU Cognitive & Artificial Intelligence Joint Lab, and Director of the Data Science and Artificial Intelligence Research Center. He was Chair of the School of Computer Science and Engineering at NTU from 2016-2018. His research interest is in artificial and computational intelligence, presently in Machine Learning, Evolution Computation and Optimization. He is Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence and AE of IEEE TNNLS, the IEEE Cybernetics, IEEE TEVC, IEEE TAI and others. He has received several IEEE outstanding paper awards, Nanyang Education Excellence Award and was listed as a Thomson Reuters highly cited researcher and among the World's Most Influential Scientific Minds.

Prof. Hongzhi Wang

Harbin Institute of Technology, China

Speech title :  To be added soon.

Bio: Hongzhi Wang, Professor, PHD supervisor, the leader of massive data computing center and the vice dean of the honors school of Harbin Institute of Technology, the secretary general of ACM SIGMOD China, outstanding CCF member, a standing committee member CCF databases and a member of CCF big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. He was “starring track” visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. Prof. Wang has been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects include 973 project, 863 project and NSFC key projects. He also serves as a member of ACM Data Science Task Force. He has won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. His publications include over 200 papers in the journals and conferences such as VLDB Journal, IEEE TKDE, VLDB, SIGMOD, ICDE and SIGIR, 6 books and 3 book chapters. His PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. He severs as the reviewer of more than 20 international journal including VLDB Journal, IEEE TKDE, and PC members of over 50 international conferences including SIGMOD 2022, VLDB 2021, KDD 2021, ICML 2021, NeurpIS 2020, ICDE 2020, etc. His papers were cited more than 2000 times. His personal website is http://homepage.hit.edu.cn/wang.