Michael E. Farmer
Professor
Computer Science, Engineering & Physics
UNIVERSITY OF MICHIGAN FLINT
United States of America
Biography
Michigan State University East Lansing, MI PhD in Computer Science & Engineering May 2004 Advisor: Prof. Anil K. Jain Dissertation: “Segmentation, Classification, and Tracking of Humans for Smart Airbag Applications” University of Minnesota Minneapolis, MN M.S. in the Management of Technology May 1994 Thesis: “Development of a cost estimating expert system for printed circuit card design for Unisys Corporation” University of Michigan Ann Arbor, MI, M.S. in Physics May 1984 Columbia University New York, NY B.S. in Applied Physics May 1982
Research Interest
My research interests are in the areas of image processing, object tracking, and pattern recognition. My research to date has involved the integration of image segmentation and classification to provide a natural means for incorporating contextual information into the segmentation process. Additionally, my research in chaos-based image processing has been extremely fruitful and I am interested in extending it. I have also recently returned to my early work in evidential reasoning and now have been combining concepts from chaos theory, Dempster-Shafer theory, and Kalman filtering in developing integrated models of human cognition and as a baseline for artificial evidential reasoning.
Publications
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M. Farmer and S. Turner, “Multi-Media Classroom for Integrated In-Class and Distance Learningâ€, Academic Exchange Quarterly, Spring 2008.
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Wehbe-Alamah, H., McFarland, M., Farmer, M., Call, C., Jones, M. “CultureCopia©: Developing a computer-based electronic transcultural simulation game based on Leininger's culture care theoryâ€, Online Journal of Cultural Competence in Nursing and Healthcare, 2(1), 29, 2012.
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M. Farmer, “Pre-attentive Processing for Video Surveillance Using Chaos Theoryâ€, Journal of Applied Mathematics, Sept. 2013.