Utah engineers co-developing space simulation software for planetariums and home computers.
Sept. 7, 2016 – If space is the final frontier, OpenSpace could become the final frontier in space simulation software.
Computer scientists from the University of Utah will be working with researchers from New York University's Tandon School of Engineering and the American Museum of Natural History (AMNH) to develop OpenSpace, an open-source 3-D software for visualizing NASA astrophysics, heliophysics, planetary science and Earth science missions for planetariums and other immersive environments. The software also will be developed for use in schools and on home computers.
In this release, we mainly improved the usability of a series of functions for 4D analysis, including the component analyzer, 4D scripts, paint brush tools, and format supports. We have also made a series of video tutorials and published them on YouTube.
Bei Wang Joins the Scientific Computing and Imaging Institute as an Assistant Professor of Computer Science
Bei Wang has joined the University of Utah's Scientific Computing and Imaging (SCI) Institute as an Assistant Professor of Computer Science. The SCI Institute focuses on solving important problems in biomedicine, science, and engineering using computation and is an international research leader in the areas of scientific computing, visualization, and image analysis.
Dr. Wang received her Ph.D. in Computer Science from Duke University in 2010. There, she also earned a certificate in Computational Biology and Bioinformatics. She was a postdoctoral fellow from 2010 to 2011, and a research scientist from 2011 to 2016, both at the SCI Institute, University of Utah.
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NeuroImage Journal Cover Features SCIRun Renderings
The publication and cover image is the result of a close collaboration between the University of Freiburg (Lukas Fiederer, Tonio Ball and others) in Germany and the NIH-funded Center for Integrated Biomedical Computing (CIBC, Moritz Dannhauer) at the SCI institute (Johannes Vorwerk). The cover of NeuroImage' March (128) issue illustrates different tissues in a model of the human head that are known to have distinct electrical properties. In this study, we simulated the electrical effect of blood vessels on current flow originating from active brain regions as monitored by scalp electrodes (encephalography, EEG). Since the understanding of EEG measurements matters in many clinical applications (e.g., epilepsy), SCIRun software offers a set of tools to investigate their underlying electrical generators. Recently, in the new version 5.0 of SCIRun additional capabilities (BrainStimulator) have been added to simulate the current flow from external stimulation devices targeting brain regions of potential EEG generators.