Press cover for our WWW 2020 paper: Stop Tracking Me Bro! Differential Tracking Of User Demographics On Hyper-partisan Websites

Super excited to see that our paper on measuring differential behaviour of ad-tracking ecosystem towards the consumers of hyper-partisan websites was covered by the Wired news. In this paper, we simulated behaviours of users belonging to particular partisan and demographic classes, and observed how the online advertisement machinenary tracks them as they visit well known partisan news websites. To our surprise, we found that the very nature of such automated profiling systems pushes them to preferentially track users with specific partisan lean more.

Press cover for Facelift

I am very happy to announce the publication of “FaceLift: a transparent deep learning framework to beautify urban scenes” in the Royal soceity open science journal Facelift is a Deeplearning driven algorithm, that goes beyond assessing beauty in urban scenes (streetviews) – as done by other studies in the field – and recreates the elements that can make any given urban scene more beautiful. It then explains away the elements behind the beauty using metrics which are commonly understood by the target users of this system such as Urban Planners and Architects.

Successfully defended the Ph.D.

I succesfully defended my Ph.D titled “From Communities to Crowds: Quantifying the subjective”. The examiners recommended minor corrections to the dissertation. The dissertation was examined by Prof. Joemon Jose and Prof. Yulan He I want to sincerely thank Prof. Nishanth Sastry and all the collaborators who have mentored and enriched me in various aspects of being a researcher over the past 4 years. I would also like to thank King's India scholarship and the King's graduate school for supporting me during my tenure at Kings.

Started as a Research scientist at Bell Labs, UK

I have officially started as a research scientist at Bell labs, Cambridge, UK. I will work with the Social dynamics team on problems dealing with the modelling of different phenomenon in the realms of urban informatics, social health and AI for social good.

Facelift makes it to top 16 Ph.D. projects across the U.K. @ EPSRC Pioneers Competition

Our project FaceLift: A deeplearning pipeline to beautify urban spaces, has been shortlisted in the highly selective EPSRC Pioneers competetion. We are one of the top 16 Ph.D. projects around U.K. It stands in the top 4 projects among the creative computing category. Please find the full announcement here.

Netsys lab's deep learning capability upgraded through Nvidia GPU Grant

We have receieved the Nvidia GPU seed grant, which I wrote on my Lab's behalf. The award would increase Netsys's compute infrastructure with the help of a Nvidia Titan Xp GPU for our deep learning needs

WWW 2018 work covered by Buzzfeed

Our work done on ecosystem of hyper partisan news sources has been covered by Buzzfeed news. The full article can be found here here