Email
    bchen@lincoln.ac.uk
    Telephone
    01522 88 6781
    Post
    University of Lincoln
    Brayford Pool
    Lincoln
    Lincolnshire
    LN6 7TS
    United Kingdom

    Web Links

    Dr Bowei Chen

    Lecturer

    School of Computer Science
    College of Science

    About Bowei Chen

    Bowei Chen is a Lecturer in Data Science in the School of Computer Science at the University of Lincoln (UK), and a member of the Machine Learning Group. Prior to joining Lincoln, he received his PhD in Computer Science from the University College London, where he was with the Media Futures Group and the Centre for Doctoral Training in Financial Computing and Analytics. Dr. Chen’s research interests are broadly in the overlap among machine learning, data mining and business analytics. He is interested in developing intelligent algorithms and data solutions to three main themes: computational advertising (with the focus on programmatic guarantee and advertisement options), mathematical finance (with the focus on derivatives pricing and algorithmic trading) and management of information systems (with the focus on e-commerce business models design).

    Department Responsibilities

    Module Coordinator: Data Science; Business Intelligence; Business Processes

    Subject Specialism

    Data Mining, Computational Advertising, Internet Economics, Mathematical Finance

    Awards

    • Best Paper Award — ADKDD (ACM SIGKDD Workshop), New York City, USA, 2014
    • BITE Impact Award — University College London, London, UK, 2014
    • Second Prize Award of Hedge Fund Trading Competition — IEEE CIFEr, London, UK, 2014
    • UCL Advances PhD Enterprise Scholarship — University College London, London, UK, 2014
    • UCL Dean’s Prize — University College London, London, UK, 2012
    • Studentship for Postgraduate Research — University College London, London, UK, 2011
    • Excellent Student Award of Academic Performance — Shenzhen University, Shenzhen, China, 2007

    Research Interests

    Research Group Memberships

    Research Projects

    • Developing a data mining platform to revolutionise synthetic sport surface maintenance practice and principles — Awarded £140,649 by Innovate UK (KTP), Academic Supervisor, in 2017

    Research in the Lincoln Repository

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