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KeefeDF

Research Abstracts Online
January - December 2011

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University of Minnesota Twin Cities
College of Science and Engineering
Department of Computer Science and Engineering

PI: Daniel F. Keefe

Large-Scale Interactive Data Visualization

This project develops and studies visualization, computer graphics, and human-computer interaction techniques for analyzing scientific datasets. Datasets for the work come from a variety of collaborators, including researchers studying medical device design, fluid simulation, bioinformatics, digital humanities, art, and graphic design. The project investigates new approaches to data analysis based on interactive, exploratory visualization. The project utilizes emerging technologies, such as 3D trackers, custom multi-touch computer interfaces, and a 30-foot wide stereoscopic display, available in the LCSE-MSI Visualization Laboratory. Ultimately, this work can help us to better understand how to explore and analyze the complex large-scale datasets that result from high-performance simulations, helping scientists and other researchers to both evaluate and generate new hypotheses while leveraging the power of the human visual system and interactive tools.

Group Members

George Chao, Undergraduate Student
Dane M. Coffey, Graduate Student
James Duin, Staff
Bret Jackson, Graduate Student
Vamsi Konchada, Graduate Student
Fedor A. Korsakov, Graduate Student
Nicholas W. Malbraaten, Undergraduate Student
Stephen McCray, Undergraduate Student