Some time ago, Hervé Abdi was born in France where he grew up. He received an M.S. in Psychology from the University of Franche-Comté (France) in 1975, an M.S. (D.E.A.) in Economics from the University of Clermond-Ferrand (France) in 1976, an M.S. (D.E.A.) in Neurology from the University Louis Pasteur in Strasbourg (France) in 1977, and a Ph.D. in Mathematical Psychology from the University of Aix-en-Provence (France) in 1980. He was an assistant professor in the University of Franche-Comté (France) in 1979, an associate professor in the University of Bourgogne at Dijon (France) in 1983, a full professor in the University of Bourgogne at Dijon (France) in 1988. He is currently a full professor in the School of Behavioral and Brain Sciences at the University of Texas at Dallas and an adjunct professor of radiology at the University of Texas Southwestern Medical Center at Dallas. He was twice a Fulbright scholar. He has been also a visiting professor in Brown University and in the Universities of Chuo (Japan), Dijon (France), Geneva (Switzerland), and Nice Sophia Antipolis (France). His recent work is concerned with face and person perception, odor perception, and with computational modeling of these processes. He is also developing statistical techniques to analyze the structure of large data sets as found, e.g., in brain imaging and sensory evaluation (e.g., PLS-Regression, STATIS, DISTATIS, discriminant correspondence analysis, multiple factor analysis, additive tree representations,...). In the past decade, he has published over 80 papers (plus 5 books and 3 edited volumes) on these topics. He teaches or has taught classes in cognition, computational modeling, experimental design, multivariate statistics, and the analysis of brain imaging data.
- face processing and computational models of face processing.
- neural networks.
- computational and statistical models of cognitive processes
(especially memory and learning).
- experimental design.
- multivariate statistical analysis (including simple and multiple
correspondence analysis, PLS regression, STATIS, multiple factor analysis. etc.).
- statistical analysis of brain imaging data.
- olfaction, smell, taste, flavor, etc.