Accepting PhD Students

    • 108 Citations
    • 4 h-Index

    Research output per year

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    Personal profile


    Rob is a Lecturer in the Department of Computer Science at Edge Hill University. His research interests include the development of new machine learning algorithms for imbalanced learning problems, real-time data processing, image analysis, robotics, and the ethics of A.I.

    Rob holds a PhD in machine learning gained during his time at The University of Manchester. He also holds a Masters degree in Advanced Computer Science, and an undergraduate degree in Software Development, both from the University of Liverpool. The latter was put to good use during the time Rob spent as a Software Engineer in industry. Prior to joining Edge Hill University, he spent four years as a Research Associate at the University of Manchester. Here he helped design the analytic pipeline for the world’s largest and most advanced radio telescope, the Square Kilometre Array.

    Research interests

    My research interests include,

    • Machine Learning
    • Big data analytics
    • Data stream processing
    • Imbalanced learning problems
    • Applications of machine learning & A.I.
    • Time domain data processing
    • Ethics of Machine Learning & A.I.


    CIS3124: Principles of Visual Design (Semester 1, 2019)

    CIS1111: Programming: Concepts to Construction (Semester 1, 2019)

    CIS1112: Programming: Concepts to Construction (Semester 2, 2019)

    Education/Academic qualification

    Machine Learning, PhD, University of Manchester

    7 Sep 201124 Oct 2015

    Award Date: 24 Sep 2015

    Advanced Computer Science, MSc, University of Liverpool

    7 Aug 201014 Dec 2011

    Award Date: 14 Dec 2011

    Software Development, BSc, University of Liverpool

    7 Sep 200430 Jun 2008

    Award Date: 30 Jun 2008

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    Research Output

    • 108 Citations
    • 4 h-Index
    • 6 Article
    • 3 Conference proceeding article (ISSN)

    Imbalance Learning for Variable Star Classification

    LYON, ROBERT., Hosenie, Z., Mootoovaloo, A., Stappers, B. W. & McBride, V., 13 Mar 2020, In : Monthly Notices of the Royal Astronomical Society. 493, 4, p. 6050-6059 11 p.

    Research output: Contribution to journalArticle

    Open Access
  • 23 Downloads (Pure)

    A processing pipeline for high volume pulsar candidate data streams

    LYON, ROBERT., Stappers, B., Levin, L., Mickaliger, M. & Scaife, A., 1 Jul 2019, In : Astronomy and Computing. 28, 100291.

    Research output: Contribution to journalArticle

    Open Access
  • 18 Downloads (Pure)

    Comparing Multiclass, Binary, and Hierarchical Machine Learning Classification schemes for variable stars

    Hosenie, Z., LYON, ROBERT., Stappers, B. & Mootoovaloo, A., 1 Oct 2019, In : Monthly Notices of the Royal Astronomical Society. 488, 4, p. 4858–4872 15 p.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Citation (Scopus)
    66 Downloads (Pure)

    Ensemble candidate classification for the LOTAAS pulsar survey

    Tan, C. M., LYON, ROBERT., Stappers, B., Cooper, S., Hessels, J., Kondratiev, V., Michilli, D. & Sanidas, S., 1 Mar 2018, In : Monthly Notices of the Royal Astronomical Society. 474, 4, p. 4571-4583 13 p.

    Research output: Contribution to journalArticle

    Open Access
  • 11 Citations (Scopus)
    41 Downloads (Pure)

    Fifty Years of Candidate Pulsar Selection - What next?

    LYON, ROBERT., 4 Jun 2018, In : Proceedings of the International Astronomical Union. Volume 13, s337, p. 25-28 4 p.

    Research output: Contribution to journalConference proceeding article (ISSN)

    Open Access
  • 40 Downloads (Pure)