报 告 人：Xiaokang Zhou，Faculty of Data Science, Shiga University, Japan
邀 请 人：李卫民 副教授
报告摘要： The high development of emerging computing paradigms, such as Ubiquitous Computing, Mobile Computing, and Social Computing, has brought us a big change from all walks of our work, life, learning and entertainment. Especially, with the high accessibility of social networking services along with the increasingly pervasive use of portable wireless mobile computing devices, more and more populations have been engaged into this kind of integration of real physical world and cyber digital space, which can be called the hyper world. In this talk, we concentrate on the personal data analytics to facilitate the cyber individual modeling. Organic Stream is introduced to systematically organize and refine the personal stream data, which can help improve the data processing and management in the CI-Spine tier and CI-Pivot tier of Cyber-I. The DSUN (Dynamically Socialized User Networking) model is employed to better utilize the collective intelligence from a group of users, which can help improve the CI-Mind tier to make Cyber-I to become more robust. Based on these, we discuss the functional modules for the facilitation of cyber individual modeling. Finally, a scenario is given with some experimental results to demonstrate the valuable outcomes from the personal analysis which can be utilized to enrich the Cyber-I, and provide users with more suitable services.
Xiaokang Zhou is currently a lecturer with the Faculty of Data Science, Shiga University, Japan. He received the Ph.D. degree in human sciences from Waseda University, Japan, in 2014. From 2012 to 2015, he was a research associate with the Faculty of Human Sciences, Waseda University, Japan. He also works as a visiting researcher in the RIKEN Center for Advanced Intelligence Project (AIP), RIKEN, Japan, from 2017. Dr. Zhou has been engaged in interdisciplinary research works in the fields of computer science and engineering, information systems, and social and human informatics. His research interests include ubiquitous and social computing, big data mining and analytics, machine learning, behavior and cognitive informatics, Cyber-Physical-Social-System, cyber intelligence and cyber-enabled applications. He has published more than 60 refereed papers in high-quality academic journals, international conference proceedings and book chapters. His research works published in academic conferences have won several positive praises, including several best paper awards in the noted international conferences. Dr. Zhou has worked as program co-chair and TPC member for several noted international conferences and workshops sponsored by IEEE and Springer. He has served as guest editor for several reputable scientific journals, including FGCS, JPDC, MTAP, Ad Hoc Networks, WWW, and CEE. Dr. Zhou is a member of the IEEE CS, and ACM, USA, IPSJ, Japan, and JSAI, Japan.