About Myself

I am a Ph.D student at the University of Washington, Seattle and am working with Jeff Bilmes. Prior to coming to UW, I spent four awesome years, at the Indian institute of Technology, Bombay where I completed my B.Tech in Electrical Engineering. I also did my internship last year at the Computer Science Department at Simon Fraser University, where I worked with Dr. Torsten Moller.

My main research interests are in Machine Learning, with applications in Computer vision. I am also now interested in submodularity and it's close relation to many applications in machine learning. I worked mainly in computer vision and image processing as an undergraduate. In particular I worked on object mining from videos, using a bag of features approach (which resulted in our BMVC paper). I also worked on a project in embedding capacity estimation in reversible watermarking schemes, where-in we proposed very efficient and fast algorithms for prior estimation of the embedding capacity. Below are some of my publications:

Publications

Shah Ronak, Rishabh Iyer and Subhasis Chaudhuri, Object Mining for Large Video Data, In Proc. British Machine Vision Conference - (BMVC) - 2011, PDF (selected for oral presentation)

Rishabh Iyer, Rushikesh Borse, Shah Ronak and Subhasis Chaudhuri, Embedding Capacity estimation for pixel pair based watermarking schemes, Submitted to Transactions of Image Processing (September, 2011) Arxiv Preprint