Title: "Soft Computing for Hard Pattern Recognition Problems (Tentative)"

Abstract: (Tentative) A survey of research and development of fuzzy set related approaches for use in difficult applications involving pattern recognition. Approaches include fuzzy clustering, fuzzy k-nearest neighbors, ordered weighted averaging operators, fuzzy integrals, and random sets. Applications will be drawn from medical image and signal analysis, landmine detection, language processing, and hyperspectral image analysis for remote sensing, face recognition, and trace material detection.

Paul Gader received his Ph.D. in Mathematics for image processing related research in 1986 from the University of Florida. He has worked as a Senior Research Scientist at Honeywell's Systems and Research Center, as a Research Engineer and Manager at the Environmental Research Institute of Michigan, and as a faculty member at the University of Wisconsin - Oshkosh, the University of Missouri - Columbia, and the University of Florida, where he is currently a Professor of Computer and Information Science and Engineering. His research has spanned a number of areas related to image analysis and pattern recognition including applied mathematics, parallel image processing, mathematical morphology, fuzzy and random sets, handwriting recognition, bio-medical image analysis, automatic target recognition, landmine detection, hyperspectral image analysis, and information fusion. He enjoys trying to devise theoretical approaches and translate them into applications and trying to understand what the important issues are in that process.