Democratizing Data Access
The National Science Foundation (NSF) awarded a $5.6 million project to a team of researchers led by School of Computing professor Valerio Pascucci (pictured), who is also director of the Center for Extreme Data Management in the College of Engineering, to build the critical infrastructure needed to connect large-scale experimental and computational facilities and recruit others to data-driven sciences.
Chuck Hansen Elected to IEEE Board of Governors
Valerio Pascucci Wins a NASA Earth Exchange Award
WIFIRE Commons and BurnPro3D
Manish Parashar Named ACM Fellow
The ACM Fellows program recognizes the top 1% of ACM Members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community, according to the organization. Fellows are nominated by their peers.
SCALE MoDL: Advancing Theoretical Minimax Deep Learning: Optimization, Resilience, and Interpretability
The past decade has witnessed the great success of deep learning in broad societal and commercial applications. However, conventional deep learning relies on fitting data with neural networks, which is known to produce models that lack resilience.
Conversion of Utah Coal into High-value Carbon Products Sustaining Rural Economies
U Part of World’s Ultimate IT Team
The world’s most important scientific facilities, from the CERN Large Hadron Collider to the National Radio Astronomy Observatory, deal with massive amounts of data every day that are mined, stored, analyzed and visualized. It’s a colossal task that requires help from the top minds in data management to handle.
The CERN Large Hadron Collider in Switzerland is one of many of the world’s most important scientific facilities and research projects that will get help from team members from the University of Utah’s School of Computing and five other universities on how to best manage their scientific data. |
So the National Science Foundation (NSF) is turning to expert computer scientists from the University of Utah’s School of Computing and five other top universities, to help these facilities and other research projects manage their data in faster and more affordable ways.
Kris Campbell wins best paper at IPMI2021
"Structural Connectome Atlas Construction in the Space of Riemannian Metrics"
KM Campbell, H Dai, Z Su, M Bauer, PT Fletcher, SC Joshi
The IPMI conference series focuses on novel developments in the acquisition, formation, analysis and display of medical images. IPMI places the highest importance on high-quality submissions coupled with presentations and thorough discussions of the presented contributions.