Dima (Dmytro) Karamshuk, PhD
Senior Data Scientist at Skyscanner

dima [dot] karamshuk [at] skyscanner [dot] net
[Linkedin] [Twitter] [Slideshare] [Google Scholar]

About Me

I am a Senior Data Scientist at Skyscanner where my focus is on applying data mining and machine learning techniques for optimizing content retrieval and distribution. Prior to Skyscanner, I was with King's College London where I worked on analysis of BBC iPlayer (a joint project with BBC) and various social media websites (Twitter, Pinterest, Foursquare, etc.). I contribute to the data mining (KDD, WWW, etc.) and computer networks communities (Infocom, ComMag, etc.) and have some of my works featured by New Scientist, BBC News and other media outlets. I also co-founded and was a former CEO of Stanfy.com.

Recent activities:

  • Apr 2017: Our ICWSM paper is featured in [Mirror] and [Daily Mail]!
  • Apr 2017: We organize a data science meetup at Skyscanner London! [LINK]
  • Mar 2017: Our paper on analysis of the About.me website is accepted at ICWSM'2017! [PDF]
  • Feb 2017: Our survey of peer-assisted CDNs is published in Computer Networks [PDF]
  • Jan 2017: A new paper on classifying public empathy with CrowdFlower and CharSCNN [PDF]
  • Nov 2016: Presented our new paper on measuring media bias at SocInfo'2016 [PDF]
  • Sep 2016: I have joined Skyscanner! Great milestone and exciting times ahead!

Publications

    2017

  • Wearing many (social) hats: How different are your different social network personae? Changtao Zhong, Hau-wen Chang, Dmytro Karamshuk, Dongwon Lee, Nishanth Sastry. International AAAI Conference On Web and Social Media - ICWSM, 2017. [PDF]
  • Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide. Dmytro Karamshuk, Frances Shaw, Julie Brownlie, Nishanth Sastry. Elsevier journal on Online Social Networks and Media - OSNEM, 2017. [PDF]
  • Survey on Peer-assisted Content Delivery Networks. Nasreen Anjum, Dmytro Karamshuk, Mohammad Shikh-Bahaei, Nishanth Sastry. Elsevier journal on Computer Networks - CompNet, 2017. [PDF]
  • 2016

  • Identifying Partisan Slant in News Articles and Twitter during Political Crises. Dmytro Karamshuk, Tetyana Lokot, Oleksandr Pryymak, Nishanth Sastry. International Conference on Social Informatics - SocInfo, 2016. [PDF] [Slides]
  • Take-away TV: Recharging Work Commutes with Greedy and Predictive Preloading of TV Content. D. Karamshuk, N. Sastry, M. al-Bassam, A. Secker, J. Chandaria. IEEE Journal On Selected Areas In Communications - J-SAC [Top-6 in Computer Networks, H5 – 66], 2016. [PDF] [Slides]
  • Provisioning Cost-Effective Mobile Video Caching. E. Ghoreishi, V. Friderikos, D. Karamshuk, N. Sastry, and H. Aghvami. IEEE International Conference on Communications - ICC [Top-18 in Computer Networks, H5 – 46], Kuala Lumpur, 2016. [PDF]
  • Towards transdisciplinary collaboration between computer and social scientists: Initial experiences and reflections. D. Karamshuk, M. Pupavac, F. Shaw, J. Brownlie, V. Pupavac, N. Sastry. Book chapter in "Social Network Analysis: Interdisciplinary Approaches and Case Studies", Taylor & Francis Group, 2016.
  • 2015

  • Predicting Pinterest: Automating a distributed human computation. C. Zhong, D. Karamshuk, N. Sastry, World Wide Web Conference - WWW [AR – 14%, Top-1 in Information Systems, H5 – 75], Florence, 2015. [PDF]
  • ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM [AR - 19%, Top-3 in Computer Networks, H5 – 78], Hong Kong, 2015. [PDF] [Slides]
  • On Factors Affecting the Usage and Adoption of a Nation-wide TV Streaming Service. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM [AR - 19%, Top-3 in Computer Networks, H5 – 78], Hong Kong, 2015. [PDF] [Slides]  [Press Coverage]
  • SCORE:Exploiting global broadcasts to create offline personal channels for on-demand access. G. Nencioni, N. Sastry, G. Tyson, V. Badrinarayanan, D. Karamshuk, J. Chandaria, J. Crowcroft, IEEE/ACM Transactions on Networking [Top-10 in Computer Networks, H5 – 58], 2015. [PDF]
  • Identifying Geographic Clusters: A Network Approach. R. Catini, D. Karamshuk, O. Penner, M. Riccaboni, Elsevier Journal on Research Policy [Top-3 in Social Sciences, H5 – 77], 2015. [PDF]
  • Prior to 2015

  • SPoT: Representing the Social, Spatial, and Temporal Dimensions of Human Mobility with a Unifying Framework. D. Karamshuk, C. Boldrini, M. Conti, and A. Passarella, Elsevier Journal on Pervasive and Mobile Computing - PMC [H5 – 35], , 11, 2014. [PDF]
  • Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement. D. Karamshuk, A. Noulas, S. Scellato, V. Nicosia, C. Mascolo, ACM SIGKDD Conference on Knowledge Discovery and Data Mining - KDD [AR – 17%, Top-2 in Data Mining, H5 - 64], Chicago, 2013. [PDF] [Slides] [Press Coverage]
  • An arrival based framework for human mobility modeling. D. Karamshuk, C. Boldrini, M. Conti, and A. Passarella, IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks - WoWMoM [AR - 18%, H5 – 22], San Francisco, 2012. [PDF]
  • Human mobility models for opportunistic networks. D. Karamshuk, C. Boldrini, M. Conti, and A. Passarella, IEEE Communications Magazine [Top-1 in Computer Networks, H5 – 90], 2011. [PDF]
  • PhD Thesis

  • Modeling and Understanding the Role of Human Mobility in the Cyber-Physical World, IMT Institute for Advanced Studies, Lucca, 2013. [PDF]

My presentations on SlideShare

Press Coverage

  • Major study links low internet usage to slow broadband. [BBC]
  • Foursquare check-ins tell stores where to set up shop. [New Scientist]
  • Who are YOU on social media? Study shows we have very different personas on Facebook, Twitter, LinkedIn and Instagram. [Daily Mail]
  • Social media users adopt completely different 'personas' on Facebook, Twitter, LinkedIn and Instagram, study shows. [Mirror]
  • Social Media & Machine Learning tell Stores where to locate: Dmytro Karamshuk Interview. [Data Science Weekly]
  • Scotland affected by worst broadband speeds in UK. [The Scotsman]
  • UK Study Claims Slow Broadband Speed Fosters Low Internet Use. [ISP Review]
  • UK let down by slow broadband. [Advanced Television]
  • Regions with worst broadband speeds 'use modern services the least'. [USwitch]
  • Harnessing the Matrix or how to build an intelligent city. [TedXKyiv]
  • How Foursquare Helps to Plan Cities. [KPIshnik.com.ua]
  • Why Fast Food Restaurants need big data. [Computerra.ru]

Visualizing Swarming Behavior in BBC iPlayer