• Scientific Computing
• Scientific Visualization
• Image Analysis
• Computational Biomechanics
• Scientific Software Solutions
• Scientific Data Management
• Graphics
• GPU
• Computational Biology

The Scientific Computing and Imaging Institute has established itself as a leader in engineering and research in the areas of scientific computing, scientific visualization, and imaging. The overarching research goal of the SCI Institute is to create new scientific computing techniques, tools, and systems with which to solve problems affecting various aspects of human life. The focus of the Institute has been largely in medicine, but we have also solved computational and imaging problems in other application areas such as geophysics, chemical engineering, molecular dynamics, aerospace fluid mechanics, combustion, and atmospheric dispersion.

The SCI Institute has four major long-term goals. The first goal is to perform technical research into the computational and numerical methods required for scientific computing. The second goal is to explore the paradigm of integrated problem solving environments as an efficient approach for scientists in many disciplines to solve their own computational problems. The third goal is to research new techniques for scientific visualization, and to develop visual analysis tools that help increase the understanding of complex scientific data. The final goal represents our desire, as researchers, to use scientific computing to understand our own particular disciplines, for example, numerical mathematics, fluid dynamics, atmospheric dynamics, biophysics, electrocardiography, bioelectric fields in the brain, and medical imaging.

The SCI Institute either directs or is associated with several national research centers: the NIH Center for Integrative Biomedical Computing (CIBC), the DoE Visualization and Analytics Center for Enabling Technologies (VACET), the NIH National Alliance for Medical Image Computing (NA-MIC), the DoE Scientific Data Management Center, the NIH Center for Computational Biology, and the DoE Center for the Simulation of Accidental Fires and Explosions (C-SAFE). In July, 2008, SCI was chosen as one of three NVIDIA Centers of Excellence in the U.S. (University of Illinois and Harvard University are the other two NVIDIA Centers).