Most of my research hours are invested in developing and training CNN/RNN architectures in supervised, unsupervised, as well as semi-supervised way. My ongoing research uses both semantic segmentation as well end-to-end learning which can be used in self-driving vehicles, augmented reality, etc. Therefore, I not only focus in getting better accuracy but also in getting real-time performance on embedded devices as well as GPUs.
I received my undergraduate degree in Electronics and Communication Engineering from Indian Institute of Technology (IIT) Guwahati, India in 2012. Moreover, breaking "conventional practice" and to gain more exposure, I did my Masters from Hanyang University, South Korea on complete scholarship in 2014. During my undergraduation and Masters, I worked on robotics, computer vision, and machine learning.