University of Utah School of Computing assistant professor Bei Wang was awarded more than $832,000 from the U.S. Department of Energy’s Early Career Research Program, one of only 75 scientists in the nation and the only faculty member from the U to earn the award this year.
Wang’s project, titled “Topology-Preserving Data Sketching for Scientific Visualization,” will conduct a study of topology-preserving data sketching techniques to improve visual exploration and understanding of large scientific data.
Genome-wide Pattern Found in Tumors from Brain Cancer Patients Predicts Life Expectancy
Proof of principle study highlights mathematical methods that are uniquely suited for personalized medicine
For the past 70 years, the best indicator of life expectancy for a patient with glioblastoma (GBM) — the most common and the most aggressive brain cancer — has simply been age at diagnosis. Now, an international team of scientists has experimentally validated a predictor that is not only more accurate but also more clinically relevant: a pattern of co-occurring changes in DNA abundance levels, or copy numbers, at hundreds of thousands of sites across the whole tumor genome.
Conferences may be a little different this year, but that hasn't stopped SCI students from showing what they're made of. This week four publications were selected as finalists in two seperate conferences. Adam Rauff and Steven LaBelle were selected as finalists for the (virtual) student PhD paper competition at the Summer Biomechanics, Bioengineering and Biotransport Conference in June (SB3C). At this same conference Jason Manning was selected as a finalist in the undergraduate student paper competition.
Congratulations to Tolga Tasdizen whos Emerging COVID-19/SARS-CoV-2 Research Application has been awarded funding by the University of Utah Health’s 3i Initiative.
The project entitled AI/CXR Early Warning System for Infectious Respiratory Disease Outbreaks, proposes to research an early warning system for novel respiratory infectious disease outbreaks based on automated emerging cluster analysis of routine chest x-rays (CXR) using Artificial Intelligence/Machine Learning (AI/ML) and furthermore, to the use data collected during the COVID-19 pandemic to validate our proposed models.
SCI Institute and CEDMAV alumnus, Brian Summa has been working with colleagues at Tulane University to study the effects of COVID-19 on lung tissue. This research is made possible using ViSUS to analyze high resolution histological volumes too large to visualize with other software.
Chris Johnson and Chuck Hansen Inducted into The IEEE Visualization Academy
Chris Johnson and Chuck Hansen will be inducted into The IEEE Visualization Academy (or in short Vis Academy) during the opening session of the VIS 2019 conference in Vancouver, BC, on Tuesday, October 22, 2019. The Vis Academy was established in 2018 by the IEEE vgtc Executive Committee, with the inaugural “class” of inductees to include all the Visualization Career Awardees and all the Visualization Technical Achievement Awardees, from 2004 to 2019, for a total of 32 inductees. Induction into the Vis Academy is the highest and most prestigious honor in the field of visualization.
Announcing Intel Graphics and Visualization Institutes of XeLLENCE
In order to better ensure advanced graphics and visualization capabilities are broadly available to the professional rendering, scientific visualization and virtual design communities, I am thrilled to announce that Intel is supporting the establishment of Intel® Graphics and Visualization Institutes of XeLLENCE (Intel® GVI). Three world class founding institutions have been selected:
- Scientific Computing and Imaging Institute (SCI) at University of Utah, supported by Dr. Chris Johnson.
- Texas Advanced Computing Center (TACC) at University of Texas, Austin with Kitware, Inc, supported by Dr. Paul Navratil and Dr. Berk Geveci.
- Visualization Institute of the University of Stuttgart (VISUS), supported by Dr. Ing. E. h. Thomas Ertl and Dr. rer. nat. Guido Reina.
HCI Announces Computational Oncology Research Initiative (CORI)
It is our distinct pleasure to announce that Howard Colman, MD, PhD, Professor in the Departments of Neurosurgery, Neurology, and Medicine (Oncology) has been appointed as the inaugural Director of the Computational Oncology Research Initiative (CORI), a new collaboration between Huntsman Cancer Institute and the Scientific Computing and Imaging (SCI) Institute.
Fellows are nominated each year by their peers and represent the top 2% of the medical and biological engineering community. They are considered the life-blood of AIMBE and work towards realizing AIMBE's vision to provide medical and biological engineering innovation for the benefit of humanity.
School of Computing professor Charles Hansen has been appointed as a Distinguished Professor of Computing at the University of Utah. The title of Distinguished Professor is a rare and prestigious honor granted by the University of Utah to faculty who meet the highest standards of scholarship, international stature, and dedication to teaching and service.
New Texas supercomputer to push the frontiers of science
The National Science Foundation (NSF) announced today that it has awarded $60 million to the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for the acquisition and deployment of a new supercomputer that will be the fastest at any U.S. university and among the most powerful in the world.
The new system, known as Frontera (Spanish for "frontier"), will begin operations in 2019. It will allow the nation's academic researchers to make important discoveries in all fields of science, from astrophysics to zoology, and further establishes The University of Texas at Austin's leadership in advanced computing.