Dublin University Crest Computer Science Department, Trinity College Trinity College Crest

Dr. Kevin Koidl

Status: Research Fellow
Qualifications: Ph.D., M.Sc. (Dipl. Wirtsch. Inf. TU)
Thesis Title (Ph.D.): Cross-Site Personalisation
Thesis Title (M. Sc.): Modelling of Learning Strategies in Adaptive Hypermedia eLearning Systems (pdf)
Research Group: Knowledge and Data Engineering Group KDEG
Location: Room F.32, O'Reilly Institute, Department of Computer Science, Trinity College, Dublin 2, Ireland (map)
Telephone: +353 (0)1 896 - 1397
Fax: +353 (0)1 677 - 2204
e-Mail: Kevin.Koidl(at)scss.tcd.ie

    Background

    I am a Research Fellow in the School of Computer Science and Statistics, Trinity College Dublin (TCD). I graduated in 2006 with a Dual Masters in Computer Science and Business Studies (Witschaftsinformatik) from the Technical University of Darmstadt in Germany. I received my PhD in Computer Science from Trinity College Dublin in 2014.

    Research

    My main research areas are Personalisation, Machine Learning (AI), Social Networks, Content Engagement, Data Privacy and Ethics.

    Research Commercialisation

    I commercialised the findings of my research via wripl (www.wripl.com). Wripl offers trend and engagement predication software.

    Projects

    adapt freme lider wripl
    CNGL 80days Elektra iclass

    Patents

    Web based system and method for cross-site personalisation (US20120317186 A1)

    Attracted Funding

    Science Foundation Ireland - Trechnology Innovation Development Award (TIDA) Feasibility Study 2012 - approx. 60k Euro

    Science Foundation Ireland - Technology Innovation Development Award (TIDA) Enterpreneurship Training 2012 - approx. 5k Euro

    Enterprise Ireland - Commercial Case Feasibility Grant - approx. 15k Euro

    Enterprise Ireland - Commercialisation Fund for 3rd Level Researchers - approx. 180k Euro

    EU H2020 - FREME - approx 175k Euro

    Publications

    Please check Google Scholar for an up to date listing
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