Amit K. Roy-Chowdhury is part of a team that has received a large, multi-year NSF grant titled "Interactive and intelligent  searching of biological images by query and network navigation with learning capabilities". E. Keogh of Computer Science is the PI and the team involves researchers from UCR, CMU, University of New Hampshire and Elizabeth City State University. This interdisciplinary project will address the question of identification of biological images, with a particular focus on nematodes. The focus will be on developing computer-assisted recognition processes that intelligently assist, as well as, learn from the user. Dr. Roy-Chowdhury's role will be in extracting features from the images and developing image recognition tools. The interaction of machine learning and image analysis will be a basic contribution of the project. The proposed work can revolutionize nematode research by reducing the identification time by an order of magnitude (from days to hours).
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