Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

General News

The SCI Institute is pleased to announce five new faculty hires whose combined expertise will not only enhance the current research at the Institute, but also lay the path for future endeavors. The SCI Institute’s overarching vision is the transformation of science and society through translational research and innovation in computer, computational, and data science. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of scientific and societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools. These new hires will expand the core research expertise at SCI, and will continue to broaden the diversity of faculty, students, and staff.

facilities fleetSEED2SOIL: Telematic Data for Fleet Vehicles: A Data-Driven Solution Towards Optimal Fleet Management and Clean Vehicle Adoption

Assessing the performance of fleet services has long been an important yet challenging issue for public agencies and researchers. Performance evaluation can help the campus facilities division identify underperforming services, plan for potential investments, justify the previous investments, consolidate across multiple services, and communicate accomplishments and challenges. The goal of this study is to use telematics data to analyze the performance of the fleet operation systems and develop strategic solutions for effective fleet service management. The team will utilize a combination of Geographical Information System (GIS), data science, and visualization methods to identify the underutilized fleet and service coverage gaps, and inform strategic decision-making related to consolidated services and zero-emission vehicle deployment. This will be a joint project between PI Xiaoyue Cathy Liu at the Civil And Environmental Engineering and Co-PI Bei Wang Phillips from the SCI Institute. Through the SEED2SOIL program (https://attheu.utah.edu/facultystaff/sustainability-research-grants/), researchers use the University of Utah Campus as a Living Lab to improve campus operations and contribute to broader sustainability knowledge.
1607352443 1School of Computing professor Manish Parashar, who is the director of the University of Utah’s Scientific Computing and Imaging Institute, was recently named Presidential Professor.

The title of Presidential Professor is reserved for those with achievements that “exemplify the highest goals of scholarship as demonstrated by recognition accorded to them from peers with national and international stature and whose record includes evidence of a high dedication to teaching.”

2021 chi revisit task overviewCongratulations to Alex Lex on his NSF award from the CISE Community Research Infrastructure program titled “reVISit: Scalable Empirical Evaluation of Interactive Visualizations". The project is in collaboration with WPI and the University of Toronto.

Bei2Congratulations to Bei Wang on her NSF career award. A Measure Theoretic Framework for Topology-Based Visualization. Data generated from multiphysics simulations, such as binary black hole mergers and fluid dynamics, has experienced exponential growth thanks to the growing capabilities of computing facilities. At the same time, data-intensive science relies on the acquisition, management, analysis, and visualization of data with increasing spatial and temporal resolutions. This project develops a new set of approaches to support the core tasks in scientific data visualization (such as feature tracking, event detection, ensemble analysis, and interactive visualization) in a way that is more reflective of the underlying physics using measure theory. The results will be instantiated by a collection of open-source software tools to be deployed for the collaborating scientists in materials science and high-performance computing, and the larger research community. This project leverages tools from geometric measure theory, information theory, and transportation theory for topology-based visualization, which utilizes topological concepts to describe, reduce and organize data for scientific understanding and communication.
Hol2022bCongratulations to John Holmen, Damodar Sahasrabudhe and Martin Berzins for their best paper award at PASC22.

J.K. Holmen, D. Sahasrabudhe, M. Berzins. “Porting Uintah to Heterogeneous Systems,” In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC22), ACM, 2022.
joshi payneCongratulations to Sarang Joshi and Allison Payne on their five year funding for “A tissue viability imaging biomarker for use in non-invasive breast cancer therapy.” This collaborative project is between the Scientific Computing and Imaging (SCI) Institute and the Utah Center for Advanced Imaging Research (UCAIR).

More women are diagnosed with breast cancer than any other type of cancer, besides skin cancer. This year, an estimated 281,550 women in the United States will be diagnosed with invasive breast cancer, and 49,290 women will be diagnosed with non-invasive (in situ) breast cancer. From 2008 to 2017, invasive breast cancer in women increased by half a percent each year.

bha2021dCongratulations to Harsh Bhatia (LLNL/SCI Alumnus), Duong Hoang (SCI), Nathan Morrical (SCI), Peter Lindstrom (LLNl), Peer-Timo Bremer (LLNL/SCI), and Valerio Pascucci (SCI) for receiving the Best Paper Award at the IEEE Pacific Visualization 2022 Conference for their paper:

AMM: Adaptive Multilinear Meshes
friere aaasCongratulations to SCI alum Juliana Freire who has been honored as an AAAS lifetime fellow.

In a tradition stretching back to 1874, the AAAS Council elects as Fellows a distinguished cadre of scientists, engineers, and innovators who have been recognized for their achievements across disciplines. The 2021 class of AAAS Fellows includes 564 scientists, engineers, and innovators spanning 24 disciplines.

HPC21Arecibo ObservatoryIn December of last year, the renowned Arecibo Observatory in Puerto Rico collapsed in spectacular fashion when the 900-ton equipment platform, suspended about 500 feet above the dish, came crashing down due to a support cable unraveling.

Fortunately, no one was hurt, but the question remained: What about the invaluable astronomical and atmospheric science data that was collected for decades by the observatory’s 1,000-foot-wide reflector dish? University of Utah Scientific Computing and Imaging (SCI) Institute and School of Computing professor Valerio Pascucci and U faculty members were part of a consortium of researchers responsible for retrieving that precious data and moving it to a safe location.

IMG 8805Bei Wang Phillips, a Faculty at the SCI Institute and an Assistant Professor at the School of Computing, and Arul Mishra and Himanshu Mishra, both Professors of Marketing at the David Eccles School of Business applied for the competitive Deep Tech grant offered by the State of Utah’s Office of the Commissioner of Higher Education. They were awarded a 3-year grant of about $340,000 for developing courses/modules on AI ethics and fairness that would bring fair and equitable AI to the forefront of education.