Dima Karamshuk
Scholar

Dima Karamshuk

Google Scholar ID: NTom1cgAAAAJ
Facebook
data sciencesocial mediainternet measurementsmachine learning
Citations & Impact
All-time
Citations
562
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
42
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • 1. 2019: Published 'A Cost-Driven Approach to Caching-as-a-Service in Cloud-Based 5G Mobile Networks'
  • 2. 2018: Published 'Learning Cheap and Novel Flight Itineraries' and 'Consume Local: Towards Carbon Free Content Delivery'
  • 3. 2017: Published 'Wearing many (social) hats: How different are your different social network personae?' and 'Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide'
  • 4. 2016: Published 'Identifying Partisan Slant in News Articles and Twitter during Political Crises' and 'Take-away TV: Recharging Work Commutes with Greedy and Predictive Preloading of TV Content'
  • 5. 2015: Published 'Predicting Pinterest: Automating a distributed human computation' and 'ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer' etc.
Research Experience
  • 1. Research Scientist at Facebook Core Data Science team
  • 2. Data Scientist at Skyscanner
  • 3. Researcher at King’s College London
Background
  • Research interests: at the intersection between systems design, data analysis, and machine learning. Brief introduction: Research Scientist on the Facebook Core Data Science team, working on understanding and modeling large-scale user behavior. Previously worked as a Data Scientist at Skyscanner and as a Researcher at King’s College London.
Miscellany
  • LinkedIn, Twitter, Slideshare, Google Scholar