The SCI Institute
20 years on the cutting edgeThe SCI research group was founded in 1994 by Drs. Chris Johnson and Rob MacLeod along with five graduate students. In 1996, they became the Center for Scientific Computing and Imaging and in 2000, the SCI Institute. The Scientific Computing and Imaging (SCI) Institute is now one of eight permanent research institutes at the University of Utah and home to over 200 faculty, students, and staff. The 16 tenure-track faculty are drawn primarily from the School of Computing, Department of Bioengineering, Department of Mathematics, and Department of Electrical and Computer Engineering, and virtually all faculty have adjunct appointments in other, largely medical, departments. Recent growth in the SCI Institute has come in part from the award in 2007 from the state of Utah of a USTAR (Utah Science and Technology Advanced Research) cluster in Imaging Technology. This allowed the Institute to recruit three new faculty in image analysis: Professors Guido Gerig, Tom Fletcher, Tolga Tasdizen. During this same time period, they were also able to recruit Professor Valerio Pascucci in visualization. In 2011, USTAR funding allowed two more: Orly Alter who specializes in genomic signal processing and Miriah Meyer, who's novel biological visualization tools are revolutionizing the way scientists view and understand their data. In 2012, the SCI Institute recruited Dongbin Xiu. Dongbin is one of the most recognized names and highly cited researchers in the area of uncertainty quantification, and has made a wonderful addition to the Institute. 2014 saw the addition of Christopher Butson. Dr. Butson is the Director of Neuromodulation Research and an Associate Professor in the departments of Biomedical Engineering and Neurology & Neurosurgery. In 2015 we added Alexander Lex (information visualization) and Akil Narayan (mathematics) to our faculty team.
Over the past decade, the SCI Institute has established itself as an internationally recognized leader in visualization, scientific computing, and image analysis applied to a broad range of application domains. The overarching research objective is to conduct application-driven research in the creation of new scientific computing techniques, tools, and systems. An important application focus of the Institute continues to be biomedicine, however, SCI Institute researchers also address challenging computational problems in a variety of application domains such as manufacturing, defense, and energy. SCI Institute research interests generally fall into the areas of: scientific visualization, scientific computing and numerics, image processing and analysis, and scientific software environments. SCI Institute researchers also apply many of the above computational techniques within their own particular scientific and engineering sub-specialties, such as fluid dynamics, biomechanics, electrophysiology, bioelectric fields, parallel computing, inverse problems, and neuroimaging.
A particular hallmark of SCI Institute research is the development of innovative and robust software packages, including the SCIRun scientific problem solving environment, Seg3D, ImageVis3D, VisTrails, ViSUS, and map3d. All these packages are broadly available to the scientific community under open source licensing and supported by web pages, documentation, and users groups.
The SCI Institute either directs or is associated with several national research centers: the NIH Center for Integrative Biomedical Computing (CIBC), the DoE Scalable Data Management, Analysis, and Visualization (SDAV), 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).