Grad student Julie Kim won 1st place in the static image category of the data visualization challenge hosted by Digital Rocks Portal led by Dr. Masa Prodanovic at University of Texas at Austin. The entry consists of images of synchrotron data-based element maps, and mineral maps generated using the “Synchrotron-based Machine learning Approach for RasTer (SMART) mineral mapper”, a novel machine learning-based method of mapping developed in house in collaboration with colleagues at University of Virginia and Argonne National Laboratory. This competition was sponsored by South Big Data Innovation Hub, Object Research Systems, Kitware, and Dassault Systèmes.
Full image and the newsletter can be found here.
Julie is advised by Professor Catherine Peters.