I was born in Janakpur (Nepal) where I spent most memorable and formative years of my life with my late grandfather. He not only shaped me as a person but also laid the foundations for a lifelong willingness to pursue education and wisdom.
After completing my primary and secondary education (Class I to X) from Siddartha Shishu Sadan (Janakpur, Nepal) in 2001, I joined the Delhi Public School (Dharan, Nepal) for my higher secondary education (Class – XI and XII).
I completed my Bachelor’s degree in Computer Engineering from the Institute of Engineering – Pulchowk Campus, Tribhuvan University (Kathmandu, Nepal) in 2009. For my undergraduate degree’s final year project, I worked on Real Time Face Tracking and Recognition (RTFTR) which is an open source project that can track and recognize human faces in a video stream. It was this project that inspired and propelled me into a research career leading to a doctoral research in Computer Vision and Machine Learning. During my undergraduate degree, I teamed up with a lot of wonderful people to work on a large number of exciting projects. I cherish and treasure these experiences and associations.
During my MSc in Computer Science (by research) at the University of York (UK), I worked on a novel face shape and reflection acquisition device called the “Multispectral Light Stage”. This device can capture highly detailed facial geometry (down to the level of skin pores detail) and multi-spectral reflectance map which can be used to estimate biophysical skin parameters such as the distribution of pigmentation and blood beneath the surface of the skin.
I received my doctorate at the University of Twente (Netherlands) in 2015. In 2010, I received the Marie Curie fellowship (Early Stage Researcher (ESR) for the BBfor2 project) to pursue a doctoral research aimed at modelling the relationship between image quality and performance of a face recognition system.
My research interests span a range of avenues in Computer Vision, Computer Graphics and Machine Learning.