I am pursuing Ph.D. from University of Ottawa. I am working on quantifying urban perception using deep learning. I am also a teaching assistant for GIS courses at university of Ottawa. I am from Mathematics background and have completed my bachelor’s and Master’s in Mathematics. My research area includes the study of Urban planning, Geomatics, GIS, and Machine learning.
My current research is focused on walkability, a key component of a sustainable urban development which benefits community health and environment. The objective of my research is to develop walkability model using state-of-the-art Big Data and Artificial Intelligence (AI) approaches to better understand the relations between perceptual walkability and other related perceptual variables like safety, aesthetics, and security among others.
I have also worked as a research professional with Space Applications Centre, ISRO in the field of Remote Sensing, Geospatial data analysis, Satellite Imagery, and Visual interpretation. I have developed an operational technique to generating classified sea ice images using SCATSAT-1 Scatterometer data. I had been a teaching instructor, taught grad-level courses, participated in in different conferences and associated with student development activities.