Photo of ROBERT LYON

ROBERT LYON

Dr.

    Accepting PhD Students

    • 56 Citations
    • 4 h-Index
    20142019
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    Personal profile

    Biography

    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.

    Teaching

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

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

    Education/Academic qualification

    Machine Learning, PhD, University of Manchester

    7 Sep 201124 Oct 2015

    Advanced Computer Science, MSc, University of Liverpool

    7 Aug 020114 Dec 2011

    Software Development, BSc, University of Liverpool

    7 Sep 200430 Jun 2008

    Fingerprint Dive into the research topics where ROBERT LYON is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    pulsars Physics & Astronomy
    LOFAR Physics & Astronomy
    machine learning Physics & Astronomy
    classifiers Physics & Astronomy
    variable stars Physics & Astronomy
    signal processing Earth & Environmental Sciences
    astronomy Earth & Environmental Sciences
    resin film infusion Physics & Astronomy

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2014 2019

    • 56 Citations
    • 4 h-Index
    • 3 Article
    • 1 Conference proceeding article (ISSN)

    A processing pipeline for high volume pulsar candidate data streams

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

    Research output: Contribution to journalArticle

    Open Access
    pulsars
    Pipelines
    Processing
    software
    computer programs
    2 Downloads (Pure)

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

    Hosenie, Z., LYON, ROBERT., Stappers, B. & Mootoovaloo, A., 25 Jul 2019, In : Monthly Notices of the Royal Astronomical Society. 488, 4, p. 4858–4872

    Research output: Contribution to journalArticle

    Open Access
    File
    machine learning
    variable stars
    classifiers
    eclipsing binary stars
    taxonomy
    29 Citations (Scopus)
    4 Downloads (Pure)

    Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach

    LYON, ROBERT., Stappers, B., Cooper, S., Brooke, J. & Knowles, J., 15 Apr 2016, In : Monthly Notices of the Royal Astronomical Society. 459, 1, p. 1104–1123

    Research output: Contribution to journalArticle

    Open Access
    File
    pulsars
    filter
    filters
    machine learning
    classifiers
    13 Citations (Scopus)

    Hellinger Distance Trees for Imbalanced Streams

    LYON, ROBERT., Brooke, J., Knowles, J. & Stappers, B., 8 Dec 2014, In : Proceedings - International Conference on Pattern Recognition. 2014 22nd International Conference on Pattern Recognition

    Research output: Contribution to journalConference proceeding article (ISSN)

    Classifiers
    Decision trees