Hi, I am an applied Machine Learning researcher interested in developing and prototyping cutting-edge algorithms.

Currently, I am a Ph.D. candidate (2019-24) at ETS Montreal under the supervision of Prof. Herve Lombaert and Prof. Jose Dolz. Previously, I did a Master's (by research, 2016-19) at the Center for Visual Information Technology, IIIT Hyderabad, India, where I worked under the guidance of Prof. Jayanthi Sivaswamy. Before that, I worked as a Software Engineer for 4+ years (2012-16) at LG Soft India Pvt Ltd in Bengaluru.  I received my bachelor's degree in Electronics and Communication Engineering from the SJCE, Mysuru, India (2008-12).

Research

My research focuses on applying Machine Learning techniques to medical images. In my doctoral studies, I am working on leveraging uncertainty for image segmentation (MR, CT, dermoscopy) under full and limited supervision. Before this, I developed algorithms for retinal image enhancement in my Master's. In particular, I improved the quality of smartphone-based fundus and optical coherence tomography (OCT) images using unsupervised and limited supervision techniques.

More information about my work can be found on the Projects page. My resume is available here. 

Overall, my research expertise lies in Deep Learning, Computer Vision, and Medical Image Analysis, including segmentation, uncertainty, semi-supervised learning, weakly-supervised learning, representation learning, interpretability, calibration, image retrieval, image enhancement, generative adversarial network, generative AI, and geometric deep learning.