Scientific Computing and Imaging Institute: Difference between revisions

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[[Image:Warnock Engineering Building, University of Utah.tif|thumb|Warnock Engineering Building, University of Utah]]

[[File:Warnock Engineering Building, University of Utah.tif|Warnock Engineering Building, University of Utah|250px|left]] The SCI research group was founded in 1994 by Drs. '''[http://www.sci.utah.edu/people/crj.html Chris Johnson]''' and '''[http://www.sci.utah.edu/people/macleod.html Rob MacLeod]''' along with five graduate students. In 1996, they became the Center for Scientific Computing and Imaging and in 2000, the SCI Institute. '''[http://www.sci.utah.edu The Scientific Computing and Imaging (SCI) Institute]''' is now one of eight permanent research institutes at the [http://www.utah.edu/ 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 ([http://business.utah.gov/programs/science-advisor/wired/WIRED-Partners/ustarinitiative/ Utah Science and Technology Advanced Research]) cluster in Imaging Technology. This allowed the Institute to recruit three new faculty in image analysis: Professors [http://www.sci.utah.edu/people/gerig.html Guido Gerig], [http://www.sci.utah.edu/people/fletcher.html Tom Fletcher], [http://www.sci.utah.edu/people/tolga.html Tolga Tasdizen]. During this same time period, they were also able to recruit Professor [http://www.sci.utah.edu/people/pascucci.html Valerio Pascucci] in visualization. In 2011, USTAR funding allowed two more: [http://www.sci.utah.edu/people/orly.html Orly Alter] who specializes in genomic signal processing and [http://www.sci.utah.edu/people/miriah.html Miriah Meyer], who's novel biological visualization tools are revolutionizing the way scientists view and understand their data. In 2012, the SCI Institute recruited [http://www.sci.utah.edu/people/dxiu.html Dongbin Xiu] as its latest faculty member. Dongbin is one of the most recognized names and highly cited researchers in the area of uncertainty quantification, and will make a wonderful addition to the Institute.

The '''Scientific Computing and Imaging Institute''' (SCI) is a research institute located on the [[University of Utah]] campus in [[Salt Lake City, Utah]]. Its objective is to create new [[scientific computing]] techniques, tools, and systems with applications to various fields, including [[high performance computing]], [[scientific visualization]], [[image analysis]], [[computational biology]], [[data science]], and [[graphics]].<ref>{{cite web|title=Scientific Computing and Imaging Institute - Home|url=http://www.sci.utah.edu/home.html|accessdate=4/16/2013}}</ref>

==History==

The SCI research group was founded in 1994 by Drs. [[Christopher R. Johnson|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 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]] cluster in Imaging Technology. This allowed the SCI Institute to recruit new faculty in [[image analysis]] and [[scientific visualization]]. In 2011, USTAR funding allowed recruitment for faculty in genomic [[signal processing]] and biology visualization. In 2012, the SCI Institute recruited faculty in [[uncertainty quantification]].

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.