Prof.Xiao-Jun Wu (School of IOT Engineering, Jiangnan University)
Xiao-Jun Wu received his B.S. degree in mathematics from Nanjing Normal University, Nanjing, PR China in 1991 and M.S. degree in 1996, and Ph.D. degree in Pattern Recognition and Intelligent System in 2002, both from Nanjing University of Science and Technology, Nanjing, PR China, respectively. He was a fellow of United Nations University, International Institute for Software Technology (UNU/IIST) from 1999 to 2000. From 1996 to 2006, he taught in the School of Electronics and Information, Jiangsu University of Science and Technology where he was an exceptionally promoted professor. He joined School of Information Engineering (now renamed as School of IoT Engineering), Jiangnan University in 2006 where he is currently a professor. He won the most outstanding postgraduate award by Nanjing University of Science and Technology. He has published more than 200 papers in his fields of research. He was a visiting postdoctoral researcher in the Centre for Vision, Speech, and Signal Processing (CVSSP), University of Surrey, UK from 2003 to 2004, under the supervision of Professor Josef Kittler. He was a visiting Professor of several universities of Europe. His current research interests are pattern recognition, computer vision, fuzzy systems, neural networks and intelligent systems. He owned several awards from provincial government and Ministry of Education of China because of his research achievements.
Title Big Data: Challenges and Opportunities
Abstract
We are entering the era of big data, which presents us a big opportunity and challenges as well. In this talk, I will give my understandings on big data, then the methodology of big data processing will be introduced from different aspects. Especially, the big data processing based on deep learning will be presented. The connections among big data, artificial intelligence, and smart city will also be analyzed. One of the objectives of my talk is to stimulate discussion on big data with the aim of promoting cooperation and future development of the related subject areas.
