The recurring difficulties of creating, managing, and understanding extremely large and complex datasets have become a common thread in many of our projects and collaborations.

The Center for Extreme Data Management Analysis and Visualization (CEDMAV) focuses on theoretical and algorithmic research, systems development, and tool deployment for dealing with this extreme data in fields such as:

• geospatial information systems
• astrophysics
• climate modeling
• energy production and distribution
• medical imaging

 CEDMAV also develops its own training program to teach undergraduate and graduate students the techniques needed for dealing with extreme data problems, while preparing them for the challenges of modern science investigation and the management of large data centers.

Announcements

Tenure-Track Faculty Positions Opening

The University of Utah’s School of Computing is seeking to hire four tenure-track faculty members at the assistant professor level. Applications will be considered at more advanced ranks in exceptional cases. The School is a demonstrated leader in research that spans multiple areas within computer science and also crosses disciplinary boundaries. Our priority areas are Big Data Analytics and Scalable Computation: principled approaches to big data analytics with a focus on the development of scalable techniques that are efficient for large scale storage and computing infrastructures.

Applicants must have earned a Ph.D. in Computer Science or a closely related field and have a strong research presence and publication record in top tier venues in the applicable area.

The University of Utah is located in Salt Lake City, the hub of a large metropolitan area with excellent cultural facilities and unsurpassed outdoor recreation opportunities just a few minutes away from campus. Additional information about the school and our current faculty can be found at http://www.cs.utah.edu. Please send curriculum vitae, a research goals statement, a teaching goals statement, and names and addresses of at least four references.

To apply:

News from CEDMAV

May 08, 2018

TopoMS on the cover of Computational Chemistry

Congratulations to the co-authors Harsh Bhatia, Attila G. Gyulassy, Vincenzo Lordi, John E. Pask, Valerio Pascucci, and Peer‐Timo Bremer. Their paper: TopoMS: Comprehensive topological exploration for molecular and condensed‐matter systems is featured on the… Read more

Nov 09, 2015

Valerio Pascucci on Cool Science Radio

Valerio Pascucci, Professor, from the School of Computing and Alessandra Angelucci, Professor of Ophthalmology and Visual Science featured on KCPW and Cool Science Radio. You can listen to the podcast here.  Read more

Oct 27, 2015

Speeding up extreme big brain data analysis

 Interactive software tool lets brain researchers explore large-scale, high-res imaging to better understand connections in the brain October 26, 2015It's tough to unravel the mysteries of the brain when your computer is frozen.To aid frustrated brain… Read more

Oct 22, 2015

3-D map of the brain: Utah researchers develop software to better understand brain’s network of neurons

Oct. 22, 2015The 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… Read more

Sep 01, 2015

Exploring Large Data for Scientific Discovery

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… Read more

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