Sagar Joglekar, Ph.D.

Research Scientist

Nokia Bell Labs


I am a Reserch Scientist at Nokia Bell labs, Cambridge UK, working with the social dynamics team.

I am mainly interested in projects that deal with quantification of human processes from web scale data using methods from complex networks, machine learning, and computer vision.

I was a King's India scholar at King's College London, where I worked on my Ph.D. in computer science at the Department of Informatics, under the guidance of Dr. Nishanth Sastry.

I have graduated with a Masters of Science (M.S.) degree from University of California at Santa Barbara - USA, majoring in signals processing and networks, and a Bachelors of Engineering (B.Eng) from University of Pune - India, majoring in Electronics engineering .


  • Complex Networks
  • Computer Vision
  • Computational Social Dynamics
  • Applied ML


  • Ph.D. in Computer Science, 2015 - 2019

    King's College, London, U.K.

  • Master of Sciences (M.S) , Major in Signals Processing and Networks, 2010 - 2012

    University of California, Santa Barbara, C.A. , U.S.A

  • B.Eng , Electronics Engineering, 2004 - 2008

    University of Pune, India

Recent Posts

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 …

Press cover for Facelift

I am very happy to announce the publication of “FaceLift: a transparent deep learning framework to beautify urban scenes” …

Successfully defended the Ph.D.

I succesfully defended my Ph.D titled “From Communities to Crowds: Quantifying the subjective”. The examiners recommended …



Research Scientist

Nokia Bell Labs

Jun 2019 – Present Cambridge, UK
As a member of the Bell labs social dynamics team, I have been working on questions that try to redefine our relationships with data. I primarily work on problems dealing with machine learning and statistical inference with a stress on impacts on healthcare and urbanism. The work generally involves mathematically modelling an off-line phenomenon through the online data that it generates.

Head of Research


Apr 2016 – Jun 2017 London, UK
Research and Development. Advisor for all things ML

Senior Software engineer

Citrix systems

Feb 2012 – Sep 2015 Santa Barbara, California, USA
Development of distributed media encoder/decoder protocols for the client/server side libraries used in Citrix collaborations and conferencing products (e,g, GoToMeeting , GoToAssist, GoToWebinar)

Research Engineer

Infosys research Labs

Jul 2008 – Jul 2010 Bangalore/Pune India
Research, prototyping, and development hand over in state of the art DRM, multimedia security and delivery systems

Areas of work

Quantifying the Urban Exposome

The 21st century would witness one of the largest urban migration in human history. A lot of research has gone into understanding the …

Social networks and health

We as a soceity have accepted the internet as an extension of the self. The online disinhibition effect sometimes allows us to open up …

Measuring the partisan web and its effects

The internet has made seamless access to information, a reality. As a result, a lot of issues of the offline world, are now being …

About engagment and networked systems

There has been a large churn of new ideas, exploring new ways to network people and their content. From primacy driven social media …

Miscellaneous projects

Some miscellanious projects on Digital convergence, DRM, steganography, Computervision and networks

Recent & Upcoming Talks

Ph.D. Defence talk