Big Data Analytic: Computational Intelligence Approach and Future Prospect

C. L. Philip Chen, FIEEE, FAAAS, FCAA, FHKIE

Dean and Chair Professor

University of Macau, Macau, China

Philip.Chen@ieee.org

It is already true that Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises. A large number of fields and sectors, ranging from economic and business activities to public administration, from national security to scientific researches in many areas, involve with Big Data problems. This talk is aimed to demonstrate a close-up view about Big Data, including Big Data applications, Big Data opportunities and challenges, as well as the state-of-the-art techniques and technologies that we currently adopt to deal with the Big Data problems.With recently popularity of artificial intelligence or machine learning, its computational techniques have been applied in Big Data, among which is deep learning techniques. With its outstanding performance, more and more applications of deep learning in pattern recognition, image recognition, speech recognition, and video processing have been developed. Restricted Boltzmann Machine (RBM) plays an important role in current deep learning techniques, as most of existing deep networks are based on or related to it. This talk will also discuss how the big data relates with the deep learning and computational approach in big data era.

报告人：国际系统与控制科学院陈俊龙院士，澳门大学科技学院经理

报告时间:2016年12月15日上午10:00-11:00

地点：数计学院2号楼309会议室

Short bio of C. L. Philip Chen

C. L. Philip Chen is the Dean of the Faculty of Science and Technology, the University of Macau, Macau, China and a Chair Professor of the Department of Computer and Information Science. He had been worked at U.S. for 23 years as a tenured professor, as a department head and associate dean in two different universities before he joined the University of Macau.

Dr. Chen’s research areas are in systems, cybernetics,and computational intelligence.Heis a Fellow of the IEEE and AAAS. He was the President of IEEE Systems, Man, and Cybernetics Society (SMCS) (2012-2013). Currently, he is the Editor-in-Chief of IEEE Transactions on Systems, Man, and Cybernetics: Systemssince 2014. He has been an Associate Editor of many IEEE Transactions, where he is currently an Associate Editor of IEEE Trans on Fuzzy Systems, IEEE Trans on Cybernetics, a Steering Committee member of IEEE Transactions on Big Data, IEEE/CAA AutomaticaSinica. He is the Chair of TC 9.1 Economic, Business, and Financial Systems of IFAC.He is also a Fellow of CAA and Fellow of HKIE and an Academician of International Academy of Systems and Cybernetics Science (IASCYS). In addition, he is an ABET (Accreditation Board of Engineering and Technology Education, USA) Program Evaluator for Computer Engineering, Electrical Engineering, and Software Engineering programs. Dr. Chen received his MS degree from the University of Michigan, Ann Arbor, Michigan and Ph.D. degree in electrical engineering from Purdue University, West Lafayette, Indiana, USA, in 1988, where he receives the Outstanding Electrical and Computer Engineer Award in 2016.He also received Macau Natural Research Awards in 2014 and 2016.