This page summarises my research interests and is an archive of the research papers I have written and published. I primarily work in the domain of deep learning-based computer vision. So far, I have 5 publications, with 3 as first author.

During my thesis-based Master's degree at the University of Alberta, I was co-supervised by Prof. Nilanjan Ray of the Computing Science department and Prof. Nadir Erbilgin of the Renewable Resources Department. I was also fortunate to work closely with Dr. Seyed Mojtaba Marvasti-Zadeh, a postdoctoral fellow at the Renewable Resources Department, Dr. Guillermo Castilla, a remote sensing research scientist at the Canadian Forest Service (Natural Resources Canada), and Dr. Devin Goodsman, an entomologist also working at Natural Resources Canada. Working with my supervisors and collaborators, I have written three first-author research papers, with my latest accepted at a top computer vision conference, IEEE/CVF WACV. The research involved in all three papers was centered around my thesis, bringing the power of deep learning-based computer vision to the domain of remote sensing applications for forest health monitoring. Specifically, I proposed novel methods in each of the papers, related to topics such as multi-modal image registration, object detection, and image classification, all using drone-collected RGB and thermal imagery. I worked with techniques such as supervised, self-supervised, active, and representation (unsupervised) learning for large, deep neural networks. During my undergraduate degree, I co-authored two research papers that were accepted to an international conference. My undergraduate research primarily focused on object detection and tracking in video footage. For my final year project at NIT Warangal, I worked with generative models for image synthesis from a box-based input prompt using a GAN framework.