Virginia Tech faculty Nathan Hall and Nicholas Polys presented strategies, technologies, and examples of durable 3D data at the Library of Congress’ Born to be 3D event. The Twitter stream is here: https://twitter.com/hashtag/b2b3d
ARC Director of Visual Computing, Nicholas Polys, was busy this year at THE 45TH INTERNATIONAL CONFERENCE & EXHIBITION ON COMPUTER GRAPHICS AND INTERACTIVE TECHNIQUES (SIGGRAPH 2018)…
We have put up a channel in Vimeo that showcases the Broader Impacts of our HPC and Visualization work :
We are looking forward to seeing you at our Annual HPC Day event March 24 from 10am-5pm!
The event includes: a keynote by James Ahrens from LANL, a machine learning workshop, and faculty and student presentations.
Keynote: “Supercharging the Scientific Process Via Data Science at Scale”
Dr. James Ahrens is a senior research scientist at the Los Alamos National Laboratory (LANL). He is the founder and design lead of ParaView, a widely adopted visualization and data analysis package for large-scale scientific simulation data ( http://paraview.org). ParaView has had an extremely positive impact on the large-scale data analytic capabilities available to simulation scientists around the world. Dr. Ahrens graduated in 1989 with a B.S. in computer science from the University of Massachusetts and in 1996 with a Ph.D. in computer science from the University of Washington. At LANL, he is part of a data science team of twenty staff, postdocs and students. He is also a national leader of programmatic initiatives important to the United States Department of Energy’s National Nuclear Security Administration and Office of Science. Dr. Ahrens is the Data Analysis and Visualization lead for the U.S. Exascale Computing Project and the general chair for this year’s IEEE Scientific Visualization conference to be held in Phoenix, AZ in early October.
ARC member Nicholas Polys helped organize a session at the CHCI Workshop Technology on the Trail on March 2-3. The session “From Experience to Abstraction and Back Again” discussed the challenges and opportunities for citizen science, especially the use of uncertain data to build new scientific models. The event was covered with an article in the Roanoke Times!
Featuring sessions on big data workflows, data visualization, data publishing, and reproducible research practices, the 2017 Big Data Science Workshop will also incorporate a brainstorming/strategy session aimed at improving research workflows, a networking breakfast, and lightning talks.
ARC’s Nicholas Polys and Brian Marshall each presented. The event flyer is here: