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.
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.
SCI Research Highlighted in Argonne's 10 Year Celebration
Modeling detonations to transport explosives safely
Researchers modeled a 2005 explosion that left a 30-by-70-foot crater in a Utah highway, capturing the physics that made the truck's cargo explode more violently than it should have. With such simulations, we can design safer transport for explosives. Led by Martin Berzins, University of Utah
INCITE Awards 351 Million Core Hours to Martin Berzins and Team
INCITE Grants Awarded to 56 Computational Research Projects
Newswise — OAK RIDGE, Tenn., Nov. 16, 2015–The U.S. Department of Energy's Office of Science announced 56 projects aimed at accelerating discovery and innovation to address some of the world's most challenging scientific questions. The projects will share 5.8 billion core hours on America's two most powerful supercomputers dedicated to open science. The diverse projects will advance knowledge in critical areas ranging from sustainable energy technologies to next-generation materials.
NCI Grant for Personalized Cancer Diagnostics and Prognostics to Alter and Team
Orly Alter has been awarded a five-year, three million-dollar National Cancer Institute (NCI) grant for the project "Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics." Co-investigators on her team include pathology professors Cheryl A. Palmer and Carl T. Wittwer, associate professor Elke A. Jarboe, and clinical assistant professor Reha M. Toydemir, and neurosurgery professor Randy L. Jensen.
Alter, a bioengineering associate professor and a faculty member of the Scientific Computing and Imaging Institute, pioneered the matrix and tensor modeling of large-scale molecular biological data, which have been demonstrated to correctly predict previously unknown cellular mechanisms.
3-D map of the brain: Utah researchers develop software to better understand brain’s network of neurons
Oct. 22, 2015
The animal brain is so complex, it would take a supercomputer and vast amounts of data to create a detailed 3-D model of the billions of neurons that power it.
But computer scientists and a professor of ophthalmology at the University of Utah have developed software that maps out a monkey's brain and more easily creates a 3-D model, providing a more complete picture of how the brain is wired. Their process was announced this week at Neuroscience 2015, the annual Society for Neuroscience meeting in Chicago.
August 27, 2015 - Scott Gibson, Communications Specialist, University of Tennessee
More elegant techniques combined with highly interdisciplinary, multi-scale collaboration are essential for dealing with massive amounts of information, plenary speaker says at the XSEDE15 conference.
A curse of dealing with mounds of data so massive that they require special tools, said computer scientist Valerio Pascucci, is if you look for something, you will probably find it, thus injecting bias into the analysis. XSEDE15 pascucci-sg
In his plenary talk titled "Extreme Data Management Analysis and Visualization: Exploring Large Data for Science Discovery" on July 28 during the XSEDE15 conference in St. Louis, Dr. Pascucci said that getting clean, guaranteed, unbiased results in data analyses requires highly interdisciplinary, multi-scale collaboration and techniques that unify the math and computer science behind the applications used in physics, biology, and medicine.
SCI Institute welcomes two new Professors in Computer Science and Mathematics
Dr. Alexander Lex, School of Computing
Dr. Lex received his Bachelor's, Master's, and PhD degrees from the Graz University of Technology. For the past three years he was a Postdoctoral Fellow and Lecturer at the Harvard School of Engineering and Applied Sciences. In 2011 he completed a research internship at the Computational Genomics Lab at the Harvard Medical School.
He develops interactive data analysis methods for experts and scientists. His primary research interest is interactive data visualization and analysis, especially applied to molecular biology and pharmacology. His research is driven by the observation that there are many data analysis challenges that require human reasoning and cannot be solved automatically. He is also interested in Human Computer Interaction and Bioinformatics.