Date: Friday September 8, 2023
Time: 3:00pm MDT
Room: Zoom zoom.us, Meeting ID 993 9082 4920, passcode 837686
The talk will be held in Cramer Hall Room 124.
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Abstract: This talk will explore how we have used advanced visualization technologies to support analytical reasoning and knowledge discovery. Specifically, we will present several examples detailing some recent scientific successes using state-of-the-art visualization at the National Renewable Energy Laboratory's Computational Science Center. On multiple occasions, we have observed scientists and engineers discover features in their data using advanced visualization technologies that they had not seen in prior investigations of their data on traditional desktop displays. We have embedded more information into our analytics tools, allowing engineers to explore complex multivariate spaces. We have observed how interactions seem to catalyze understanding.
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Kenny Gruchalla is a Senior Scientist and a Distinguished Member of Research Staff at the National Renewable Energy Laboratory (NREL), and an adjunct assistant professor at the University of Colorado at Boulder. Kenny has more than 25 years of applied professional experience in scientific programming and scientific visualization, spanning several scientific disciplines, including energy, aerospace, geophysics, molecular biology, and environmental engineering. His work has primarily focused on developing interactive scientific visualization techniques to find meaning in increasingly large and complex data. He holds a Ph.D. and M.S. in computer science from the University of Colorado at Boulder and a B.S. in computer science from New Mexico Tech. More info at https://gruchalla.github.io