My research interests lie primarily in working with deep learning methodologies for integrating and analyzing large collections of multi-modal medical images and object detection/tracking. I began my research career back in 2009 in security on the smartphone platforms, specifically Android and was working on usage control and attestation of this immensely popular smartphone software stack. During graduation, I have completed and delivered some machine learning based applications. After that my interests are developing towards machine learning and deep learning models to aid medical image analysis for tumor detection. I have a vast experience working with radiology images and the deep learning techniques, I have hands-on experience include regression, classification, feature extraction and reinforcement learning, convolutional neural networks (CNN), Fully connected neural networks (FCNN), Recurrent neural networks (RNN), time-series analysis, supervised and unsupervised learning etc. My PhD research also lies in medical imaging analysis using deep learning techniques and I am planning to continue my post-doc research in the same area.