报告题目：Big Data Analysis and Modeling in Social Computing Applications
The widespread adoption of social computing paradigm has led to a new form of cooperative and pervasive data collection and analysis on a personal, local, or global scale. This talk will address issues on big data analytics based on user-generated data from different platforms. Applications using different datasets will be discussed, in order to find a new way to promote associative information fusion and collective human intelligence utilization in social computing environments.
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, behavior and cognitive informatics, user modeling, human-computer interaction, cyber intelligence and cyber-enabled applications. He has published more than 50 refereed papers in high-quality academic journals, international conference proceedings and book chapters. Dr. Zhou has worked as program chair/co-chair and TPC member for several noted international conferences 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, and JSAI, Japan.