The overall objective of our research is to explore ways through which to model, represent, visualize, and interpret the information associated with complex structures and dynamic processes. The emphasis is placed on physical systems and, particularly, on structures and processes that emerge in biomedical systems. Thus, the information of interest may reside in discrete, acquired data sets (such as the information contained in medical imagery), or created through mathematical models or symbolic representations (such as geometric models of structures or simulations of dynamic processes). Our work spans the areas of:

	Modeling: Creating graphical and/or mathematical models of the systems being studied.
	Vision: Exploring methods and algorithms for image processing, analysis, and understanding.
	Visualization: Investigating and developing representations that are visually meaningful, highly interactive, as well as quantiative.
	Knowledge Discovery and Processing:

The work involves interdisciplinary teams of students, scientists, and faculty members and is being funded by the National Science Foundation, the National Institutes of Health, the National Library of Medicine, the Emory-Georgia Tech Biomedical Center, the Georgia Tech-Medical College of Georgia Biomedical Center, and the Georgia Research Alliance.