Anriban Mukhopadhyay

Graduate Student Excellence-in-Research Award 2015

Anriban Mukhopadhyay, a recent doctoral graduate in computer science, researches the use of 3D shape analysis, computer vision and machine learning in biomedical image analysis. He is particularly focused on theoretical development of geometric shape analysis and computer vision techniques and its application in structural and functional cardiovascular imaging. Mukhopadhyay worked extensively on the analysis of high-resolution multi-detector computed tomography (MDCT) and CINE MR images for segmentation, detection and diagnosis of cardiovascular pathologies. He has designed geometric features for 3D shape analysis and 3D models for Cardiovascular Disease localization. His recent work has dealt with the sparse representation of the intensity pattern in CINE MR images for myocardial segmentation. His thesis showed that proper geometric analysis of the left ventricular endocardial surface provides a powerful and non-invasive means of predicting the incidence and severity of coronary artery disease. He is currently a postdoctoral fellow at the IMT Institute for Advanced Studies in Lucca, Italy.