Scott Dick received his B.S., M.S., and Ph.D. degrees in 1997, 1999, and 2002, respectively, all from the University of South Florida, Fla, USA. His Ph.D. dissertation received the USF Outstanding Dissertation Prize in 2003. From 2002 to 2008, he was an Assistant Professor of electrical and computer engineering at the University of Alberta in Edmonton, AB, Canada. Since 2008, he has been an Associate Professor in the same department. He has published over 40 scientific articles in journals and conferences, and is a member of the ACM, IEEE, and ASEE. His research interests are broadly in the areas of computational intelligence (fuzzy logic and neural networks), machine learning, data mining, as well as the interdisciplinary application of these technologies. His main theoretical interests are in multivalued logics (particularly the new area of complex fuzzy logic) and learning from imbalanced datasets, particularly for data stream mining. Some of his past applied research includes software reliability, proteomics, and livestock disease surveillance. Ongoing applied research projects include Web security and privacy and modeling and control of cyber-physical systems.
Biography Updated on 3 May 2012