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Worthy Martin

Worthy Martin

Associate Professor of Computer Science

Office: Rice Hall, Room 509
Phone: (434) 982-2202
Fax: (434) 982-2214
Email: martin@virginia.edu
Home Page: Worthy Martin

Department of Computer Science
School of Engineering and Applied Science
University of Virginia
85 Engineer's Way, P.O. Box 400740
Charlottesville, Virginia 22904-4740

"Seeing is knowing though just looking is never sufficient."

Areas Of Interest

Computer vision, human vision, robotics, genetic algorithms, image databases, and artificial intelligence

Biographical Sketch

Worthy Martin received his Ph.D. degree in Computer Science from the University of Texas-Austin in 1981. He then joined the University of Virginia in 1982 as an Assistant Professor of Computer Science and was promoted to Associate Professor in 1988. He has directed several Ph.D. theses, and is the author or co-author of 55 papers. He currently serves as Associate Chair of the Department of Computer Science, and Co-Director of the Institute for Advanced Technology in the Humanities, which explores and develops information technology as a tool for scholarly humanities research. He also served as advisor to the National Initiative for a Networked Cultural Heritage.

Research

Martin's primary research interest is dynamic scene analysis, i.e., computer vision in the context of time-varying imagery, as well as the fundamental concepts involved in machine perception systems composed of independent processes operating in distributed computing environments and cooperating to form interpretations of image sequences. Another major research topic involves methodologies for parallel probabilistic problem solving, including, formulations of genetic algorithms that are appropriate for implementation on multiprocessors. The applications are combinatorial optimization problems, e.g., VLSI floor planning and feature selection for signal classification. Other research interests include content-based retrieval from image data bases, and multi-source data fusion algorithms with emphasis on neural network implementations.

Selected Publications