"Our lives are not determined by what happened to us, but how we react to what happens; not by what life brings to us, but by the attitude we bring to life. A positive attitude causes a chain reaction of positive thoughts, events and outcomes. It is a catalyst - a spark that creates extraordinary results." --- Anonymous.
Ananda Shankar Chowdhury
Electronics and Telecommunication Engineering
Brief Biography: Dr. Ananda Shankar Chowdhury is an Associate Professor in the department of Electronics and Telecommunication Engineering (E.T.C.E.) at Jadavpur University, India where he leads the Imaging, Vision and Pattern Recognition (IVPR) group. He earned his Ph.D. in Computer Science from the University of Georgia, USA in July 2007 and worked as a post-doctoral fellow in the department of Radiology and Imaging Sciences at the National Institutes of Health, USA during the period August 2007 to December 2008. His research interests span Computer Vision, Pattern Recognition, Biomedical Image Processing, and, Multimedia Analysis. Dr. Chowdhury has held invited academic visits to University of Münster in Germany, National University of Singapore in Singapore, University of Campinas, and University of Sao Paulo both in Brazil, University of Padova in Italy, and University of Groningen, in The Netherlands. He is a senior member of IEEE and is a IAPR TC-member of Graph based Representations in Pattern Recognition (GbR). He currently serves as an editorial board member of Pattern Recognition Letters. His Erdӧs Number is 2.
1. Serving on the PC of GbR 2017, CVIP 2017.
2. January 2017: Paper with R. Panda and S. Kuanar on Movie Scene Detection using Nystrӧm Approximated Spectral Graph Clustering accepted in IEEE Transactions on Cybernetics
3. January 2017: Paper with G. Bhattacharya and K. Ghosh on Granger Causality Driven AHP for Feature Weighted kNN accepted in Pattern Recognition
4. January 2017: Paper with V. Gangapure and S. Nanda on Superpixel based Causal Multisensor Video Fusion accepted in IEEE Transactions on Circuits and Systems for Video Technology
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