Danna Gurari's research interests span computer vision, crowdsourcing, applied machine learning, biomedical image analysis, and medical image analysis. Her research has been recognized by the 2015 Researcher Excellence Award from the Boston University computer science department, 2014 Best Paper Award for Innovative Idea at MICCAI IMIC, and 2013 Best Paper Award at WACV.
Prior to joining the UT Austin Information School, Danna was a postdoctoral fellow at UT Austin in the computer science department. She completed her PhD at Boston University in computer science, her MS from Washington University in St. Louis in computer science, and her BS from Washington University in St. Louis in biomedical engineering. She also worked five years in industry at Raytheon and Boulder Imaging, developing software for satellite systems and building custom, high performance, multi-camera image analysis systems for military, industrial, and academic applications.
PhD from Boston University computer science department
MS from Washington University in St. Louis computer science department
BS from Washington University in St. Louis biomedical engineering department
|Year||Semester||Course Number||Course Title|
|2017||Fall||INF 385T||Special Topics in Information Science: Crowdsourcing for Computer Vision|
|2017||Spring||INF 385T||Special Topics in Information Science: Crowdsourcing for Computer Vision|