Dr Dmytro Karamshuk

External partner

Research Associate

Regent Court (IS)

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Dr Dmytro Karamshuk
External partner
Regent Court (IS)
211 Portobello
91Ö±²¥
S1 4DP
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Dmytro is a postdoctoral research associate at King’s College London.

His research is focused on understanding digital traces of Internet users to assist the design of future generation networks.

He has previously worked on studying watching patterns of BBC iPlayer users (ESRPC project in collaboration with BBC R&D), mining geo-location social networks (eg, Foursquare) for geographic retail analysis (collaboration with University of Cambridge) and predicting the behavior of users in online social curation websites (eg, Pinterest).

He has got his PhD from IMT Lucca/CNR Pisa, Italy where he worked on understanding human mobility patterns in cyber-physical systems.

Dmytro was a co-founder and managing director of a software studio Stanfy LLC from 2005 to 2010 and spent six months in 2012 at the Computer Laboratory, University of Cambridge as a visiting researcher.

Qualifications

BSc (NTUU KPI, Ukraine), masters (NTUU KPI, Ukraine) PhD (IMT Lucca/CNR Pisa, Italy)

Recent relevant publications
  • On Factors Affecting the Usage and Adoption of a Nation-wide TV Streaming Service. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.
  • ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.
  • Predicting Pinterest: Automating a distributed human computation. C. Zhong, D. Karamshuk, N. Sastry, World Wide Web Conference (WWW), Florence, 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), 11, 2014.
  • 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), Chicago, 2013.
  • 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), San Francisco, 2012.
  • Human mobility models for opportunistic networks. D. Karamshuk, C. Boldrini, M. Conti, and A. Passarella, IEEE Communications Magazine, 2011.