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I am currently an Adjunct Lecturer in Applied Computer Science at Kingston University London with most of my engagement limited to supervision of final year projects for masters and some guest lectures. I am working full-time as a Principal Video Systems Engineer, Research at Brightcove where I work primarily on optimal video encoding strategies, perceptual quality assessment and end-to-end optimization. I am also a Fellow of the Higher Education Academy (FHEA), UK. I received my PhD and MBA from Kingston University, London and MSc in IT from Universität Stuttgart, Germany and B.Tech in Electronics Engineering from NIT, Surat, India.
Previously, I was a full-time Lecturer in Applied Computer Science (Data Science) at Kingston University, London. From 2012-2015, I worked in different capacities across various industries including Bell Labs, Stuttgart, Germany after which he joined Kingston University as a Marie Curie Fellow with MSCA ITN QoE-Net from 2015 to 2018, and a Post-Doctoral Research Fellow from 2019-2020. I am also a Board Member of the Video Quality Expert Group (VQEG) as part of the Computer Graphics Imaging (CGI) group and a member of various standardization groups such as ITU-T SG16 and MPEG, SVA, CTA, DASH-IF and UHDF. I have published in many international conferences and journals and am an active reviewer for many conferences and journals.
Adjunct Lecturer in Applied Computer Science
Currently I am not involved in any teaching but rather supervising Master students for their dissertations. Please contact me via email if you are interested in working with me on your master thesis.
Some of my previously taught lecture materials are openly available on my Github page here: https://github.com/NabajeetBarman
My research work focusses primarily in optimal video encoding strategies, perceptual quality assessment and data science. For a complete list of my publications, please visit my Google Scholar page here https://scholar.google.co.uk/citations?user=69Xj8bEAAAAJ&hl=en