Big data has become one of the most popular words in recent years. It rises from almost every field of science and industry. However, what is big data exactly? Data over TB or YB? Data that have many types? Or data with the famous 4V features? In addition, is big data valuable only because of its big volume?
In the seminar, the speaker would like to share his understanding on big data. Since evolutionary computation is considered one of the most promising ways to address the challenges in big data, in the final section, the speaker will introduce his works on evolutionary computation.
Jun Zhang (M'02-SM'08) received the Ph.D. degree in Electrical Engineering from the City University of Hong Kong, Kowloon, Hong Kong, in 2002. From 2003 to 2004, he was a Brain Korean 21 Post-Doctoral Fellow with the Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea. Since 2004, he has been with Sun Yat-Sen University, Guangzhou, China, where he is currently a Cheung Kong Chair Professor. He has authored seven research books and book chapters, and over 100 technical papers in his research areas. His current research interests include computational intelligence, cloud computing, big data, high performance computing, data mining, wireless sensor networks, operations research, and power electronic circuits.
Dr Zhang was a recipient of the National Science Fund of China for Distinguished Young Scholars in 2011 and the First-Grade Award in Natural Science Research from the Ministry of Education, China, in 2009. He is currently an Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Transactions on Industrial Electronics, and the IEEE Transactions on Cybernetics. He is the Founding and Current Chair of the IEEE Guangzhou Subsection, the Founding and Current Chair of ACM Guangzhou Chapter.
Last modified: Tuesday, 24-Feb-2015 11:30:30 NZDT
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