Graduate research assistant at the University of Delaware
I am a Computer Science Ph.D. candidate at the University of Delaware, specializing in computer vision and deep learning, with a strong focus on video processing and biomedical image analysis. I am experienced in leading research projects, building machine learning models, and publishing in top conferences. I am currently seeking a research-driven role to leverage my expertise in machine learning and deep learning for impactful innovations.
I lead cutting-edge research in computer vision and biomedical image analysis under Dr. Chandra Kambhamettu at the Video/Image Modelling and Synthesis (VIMS) lab. Some of my research projects include activity recognition, retinal disease detection, VR simulation, small object counting, and forensic signature recognition. I have also applied deep learning to real-world problems, such as sickle-cell retinopathy detection from OCT images and automatic biomedical document classification. You can learn more about my research in OCT images and sickle-cell retinopathy here.
My research interests include Deep learning, Computer vision, Medical image analysis, and Video processing.
(2020-present) Graduate Research Assistant University of Delaware
(2020-present) PhD - Computer Science University of Delaware
(2018-2020) Machine Learning Engineer EKbana Nepal
(2013-2017) BE - Computer Engineering Institute of Engineering (IOE), Tribhuvan University