About

I am an Assistant Professor in the Department of Emerging Technologies, joined the university in July 2022. I have seven years of teaching experience. My doctoral thesis is Assessment of Software Productivity from Reading Pattern of C Programs using Eye-Gaze Tracker. The study is oriented towards improving productivity, a continual need in the software industry. The eye gazes have been analyzed and the code reading patterns captured while the subject reads codes written in C or C++ programming language. Code reading is a critical and complex skill. Therefore, we have explored its possible automated or semi-automated estimation as indicators for developers productivity levels and software quality. Besides being interested in working with in the field of software engg and machine learning techniques, my broad research interests include pattern analysis, subjective experiments, image analysis, and the carbon footprint of machine learning