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Rudy Professor
James T. Townsend
Indiana University, USA
Professor James T. Townsend has specialized in the development of general mathematical theory and methodology to understand human perception and cognition for many years. He received his Ph.D. from Stanford University in 1966, and currently teaches at Department of Psychological and Brain Sciences, Indiana University. Professor Townsend makes great efforts in developing a rigorous framework for the investigation of perceptual dependencies. With the aid of constructs from differential and algebraic topology, as well as more standard mathematical tools such as stochastic processes, Professor Townsend enriches theoretical advances in areas of perception and cognition. Instead of constructing theoretical models, Professor Townsend has also published a number of papers on methodologies, history of mathematical psychology and recently, on dynamics and chaos theory. Professor Townsend has been the editor of Journal of Mathematical Psychology, president of Society for Mathematical Psychology twice, and consulting editor of both Psychological Bulletin and Psychonomic Bulletin & Review. In addition, Professor Townsend is also an editor of the Scientific Psychology Series of books, contributing his prominent achievement to the field of education.
Assistant Professor
Mario Fifić
Grand Valley State University, USA
Professor Mario Fific is a gifted and experienced scholar. He pursued his bachelor and master degree at University of Belgrade, the oldest and largest university in Serbia, and afterwards turned to Indiana University working with Dr. James T. Townsend. After achieving his Ph.D. degree at Indiana University in 2005, Professor Fific currently serves as a research methods teacher at Grand Valley State University. In the meanwhile, he centers his research interests on the development of a highly diagnostic and sophisticated methodology, systems factorial technology, for uncovering mental architecture. His work as a research scientist at the Center for Adaptive Behavior and Cognition, at the Max Planck Institute for Human Development, aims to apply process-tracing techniques in the area of complex decision making. The work thus far involves validation, theoretical refinement, extensions, and further application of the systems factorial technology. In 2012, Dr. Fific was awarded an NSF (SES-1156681) PI: Mario Fific, Title "Stopping Rule Selection Theory, 2012-2015. The goal of this project is to provide a unified theory that determines the stopping rule for decision making.
Senior Lecturer
Daniel R. Little
The University of Melbourne, Australia
As the 2004 winner of the H. L. Fowler Prize (Best Honours Thesis) in the University of Western Australia, Professor Daniel R. Little showed his talent and efforts at young ages and continued to surprise the psychology field in his later academic life. After obtaining his Ph.D. in psychology at the University of Western Australia in 2008, Professor Little was employed as a postdoctoral research associate at Indiana University and then went to the University of Melbourne where he currently teaches perception, memory, cognitive psychology, and computational modelling of psychological processes. Not only is Professor Little an excellent teacher, but he is also an excellent researcher. His research interests include using computational models of response time to characterize rule-based decision making in categorization, differentiating categorization models, relating categorization to other processes such as discrimination and recognition memory, and examining how basic categorization processes scale up to other decision making tasks. In addition, Professor Little was highly praised for his distinguished and various publications. He is also a guest action editor of Journal of Experimental Psychology: General, and an organizing committee of 2011 Australasian Mathematical Psychology Conference, The University of Melbourne.
Assistant Professor
Joseph W. Houpt
Wright State University, USA
As a psychologist who possessed a bachelor degree in mathematics, Professor Joseph W. Houpt’s work provides the perfect marriage of the field of statistics and the field of mathematical psychology. After receiving his bachelor degree at University of Utah and obtaining his master degree at University of Edinburgh, Professor Houpt worked with Dr. James T. Townsend and later completed his Ph.D. degree at Indiana University in 2012. Since his early student life, Professor Houpt has actively involved in the field of perception and cognition, and it is hardly surprising that his statistics background greatly supported him to construct mathematical theory and methodologies. The academic field also responded to his outstanding achievements with several awards. In 2008, 2010, 2011, Professor Houpt received society for Mathematical Psychology Student Travel Award, and in 2011, he again received IU College of Arts and Sciences Travel Award and IU Cognitive Science Program Outstanding Dissertation Award. Professor Houpt currently instructs perception methods at Department of Psychology, Wright Sate University, and at the same time, focuses his research interests on computational modeling and specialized in his Systems Factorial Technology with R package.
Professor
Simon J. Thorpe
University of Toulouse, France
simon.thorpe@cerco.ups-tlse.fr
Dr. Simon J. Thorpe, born in 1956 near London, was given his undergraduate training in psychology and physiology at the University of Oxford, where he also received his doctorate with Professor Edmund T. Rolls in 1981. After one year as a postdoc with Dr. Max Cynader in Canada, he moved to France and joined Dr. Michel Imbert’ laboratory in Orsay. Afterward, Dr. Thorpe was recruited as a CNRS researcher in 1983 and became one of the founding members of the Brain and Cognition Research Center (CerCo) in 1993. As a director of CerCo, Dr. Thorpe has researched the neurophysiology of both monkeys and cats. But more recently, Dr. Thorpe has become particularly well-known for his work on the mechanisms of ultra-rapid categorization in both human and monkey. He proposed a novel coding scheme that uses the order in which cells fire spikes rather than firing rates to encode information, and this amazing work also led Dr. Thorpe to create a high tech start-up company, SpikeNet Technology, in 1999 that currently employs 11 staffs. In 2012, this promising company won the Innovation and Future Prize from the Midi-Pyrénées Region, and continually developed bio-inspired software and hardware systems for image processing and object recognition.
Professor
Michèle Fabre-Thorpe
University of Toulouse, France
michele.fabre-thorpe@cerco.ups-tlse.fr
Professor Michèle Fabre-Thorpe completed a Ph.D. in 1978 and a French state doctorate in 1988 in the Pierre and Marie Curie University of Paris working on the cat cerebral structures involved in the control of a paw movement performed towards a moving target. One original result was the demonstration of a crucial but transitory role of the ventrolateral thalamus during the learning phase of the guided movement. Professor Fabre-Thorpe got a CNRS position in 1980 in the University Paris VI and became CNRS first class research director in 2005. She was also a visiting scientist in the department of Experimental Psychology, University of Oxford, with Edmund T. Rolls and later with David Gaffan working on unit recording and behavioral studies in monkeys performing visual and memory cognitive tasks. In 1993 Professor Fabre-Thorpe was involved in the creation of the Brain and Cognition Research Center (CerCo) in Toulouse. Since, she worked on the visual processing of briefly flashed natural scenes in extremely challenging situations, focusing on the role of fast early visual processing in complex cognitive tasks such as object and scene categorization. She showed both in humans and monkeys that coarse object representation could be activated through a massively parallel and essentially feed-forward processing of the first available visual information. Recently Professor Fabre-Thorpe focused on interaction of object and scene and on memorization of briefly flashed scenes. Her comparative approach in humans and monkeys used psychophysics, evoked potentials, and event related fMRI. During over 10 years, Professor Fabre-Thorpe took over the direction of the CerCo, and was highly involved in the research strategy conducted by the University of Toulouse and in the creation of a new neuroscience institute with an outstanding technical platform for human and monkey research in Neurosciences.
Distinguished Professor
Chen Chien-Chung
National Taiwan University, Taiwan
Professor Chen Chien-Chung received his Ph.D. degree at University of California, Santa Barbara in 1996 and currently teaches cognitive science, advanced perception, and also binocular stereovision in Department of Psychology, National Taiwan University. After receiving his Ph.D. degree, Professor Chen moved to San Francisco working at Smith Kettlewell Eye Research Institute; along with Dr. Christopher W. Tyler, he focused his research on computational modeling of psychophysics and neurophysiology on early vision, and later narrowed his research interest to computation analysis of function magnetic resonance imaging. Both of Professor Chen’s specialty and creativity surprised the field of vision science, and in 1998, his outstanding performance earned him a Young Investigator Award from the Optical Society of America. He was also a winner of Wu Ta-You Memorial Award in 2004, Central Research Academy Young Scholar Award in 2006, and Outstanding Research Award from National Science Council in 2009. Instead of function magnetic resonance imaging research, Professor Chen was also actively involved in multi-focal electroencephalography source localization at the Neurometrics Institute and Vision Science Department, University of California, Berkeley in 2001 and 2002. Professor Chen’s studies have continually challenged the field of vision science to move forward, encouraging scholars and students to discover the mystery of human vision.
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