My research career has passed through the fields of Number Theory, Game Theory and conventional Computer Vision where I focused on the graph matching problem. Subsequently, I entered the realm of deep learning and worked on object and lane detection for autonomous driving.
Currently my research area incorporates using Bayesian methods for neural networks and its application in network compression.