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Professor Benjamin Kimia conducts research in the subfields of Artificial Intelligence, particularly focusing on Computer Vision and Medical Image Understanding. His work involves multiview reconstruction of scenes, developing tools such as BlindFind aimed at aiding the visually impaired, and improving methods for image-guided tumor ablation and minimally invasive surgeries. His interests extend to object recognition and shape analysis, where he employs techniques involving geometry and graph-based methods. In addition to analyzing 3D datasets from modalities like computerized tomography and magnetic resonance, Professor Kimia's studies include segmentation, image registration, and the creation of computational atlases, all intended to enhance clinical information delivery to physicians. He also tackles the digital color halftoning challenge, which involves arranging colored dots to produce the perceptual effect of continuous tone images. This fusion of mathematical techniques with practical applications characterizes his significant contributions to the field.
Brown University • Providence, RI
Teaching and conducting research in the fields of Engineering and Computer Vision.
Department: Department of Economics