Nanyang Technological University, Singapore
Dr. Lipo Wang received the Bachelor degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). His research interest is intelligent techniques with applications to optimization, communications, image/video processing, biomedical engineering, and data mining. He is (co-)author of 300 papers, of which 100 are in journals. He holds a U.S. patent in neural networks and a patent in systems. He has co- authored 2 monographs and (co-)edited 15 books. He was/will be keynote/panel speaker for 30 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 3 IEEE Transactions, and guest editor for 10 journal special issues. He was a member of the Board of Governors of the International Neural Network Society (for 2 terms), IEEE Computational Intelligence Society (CIS, for 2 terms), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.
Keynote Title: Data Mining Using Computational Intelligence
Abstract: This talk highlights some of our recent research results in data mining using computational intelligence. Our algorithms include compact radial-basis- function (RBF) neural networks, incrementally-generated fuzzy neural network, granular support vector machines, semi- exhaustive search and class-dependent feature selection algorithms. We demonstrate our algorithms in a wide variety of challenging data mining problems, such as chip faultdetection, glaucoma diagnosis, EEG signal classification, stock trading and time series prediction, fighter jet response tactics, scanning acoustic microscope image analysis, action recognition in videos, content-based image retrieval, gene selection in microarray data, and face recognition.