Dr. René Vidal, Associate Professor in the Department of Biomedical Engineering and the Center for Imaging Science and newest IDIES affilate, recently received research funding from the National Science Foundation’s Critical Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA) Program of the National Science Foundation, in support of “developing or studying fundamental techniques, theories, methodologies, and technologies of broad applicability to Big Data problems.”
Professor Vidal’s $600K Award, Learning a Union of Subspaces from Big and Corrupted Data, supports development of theory and algorithms to automatically discover multiple low-dimensional structures in high-dimensional data, and evaluates those algorithms in image clustering applications. He and his colleague, Professor Daniel Robinson of the Department of Applied Mathematics and Statistics of Johns Hopkins University, expect to advance their ability to manipulate and interpret extreme amounts of complex high-dimensional data from multiple sources and modalities.
For more information, please contact Dr. René Vidal.
