Currently, I am a PostDoc at ETH Zurich and have obtained my Doctoral (PhD) degree under the supervision of Prof. Ender Konukoglu with BioMedical Image Computing BMIC group in the Computer Vision Lab, ETH Zurich.

Research Area

Humans can generalize to any given new task with few examples, while current deep learning algorithms do not generalize with few labels and require a large number of annotations to yield high performance. This problem is more relevant for deep learning algorithms applied to medical image analysis tasks. For medical imaging, obtaining large datasets and corresponding annotations for each new task from clinical experts is expensive and time-consuming, and not a preferable solution in clinical settings.

The focus of my PhD was to solve this problem and achieve high performance with deep learning algorithms using few annotations while leveraging unlabeled data for medical imaging tasks. My research topics broadly include: (a) Self-supervised learning, (b) Data augmentation, (c) Semi-supervised learning.

Download my full CV here

You can find the published articles on my google scholar page Click here

Bio

I have done my B. Tech, in Electronics and Communications from BITS-Pilani Hyderabad, India (2008-2012). After my bachelor’s, I have worked for 3 years as a Digital Design Engineer in Intel India and NXP Semiconductors India in RTL design and verification (2012-2015). Post that, I have been at ETH Zurich, where I pursued my Masters in Information Technology and Electrical Engineering from 2015-2017. In 2017, I started my PhD degree program at ETH Zurich under the supervision of Prof. Ender Konukoglu and have successfully defended it in Feb, 2022.