Photo of Harry Goldingay
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom


    Research output per year

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    Personal profile


    Harry Goldingay is a Senior Lecturer in Computer Science and the Associate Dean for Degree Apprenticeships within the School of Engineering and Applied Science. He is also the Programme Director for Aston's Master's level Digital Apprenticeship: MSc Digital & Technology Solutions Specialist.

    Harry has been involved in Degree Apprenticeships since their inception, contributing to the development of the first approved Degree Apprenticeship Standard, launching the first Degree Apprenticeship programme to produce graduates and overseeing the first Degree Apprenticeship End-point Assessment. He currently oversees a variety of Degree Apprenticeship programmes in engineering at both undergraduate and postgraduate levels. Prior to this time, he worked on creating access routes into Higher Education for apprentices and other students with vocational backgrounds.

    Harry's research interests are in computational intelligence, particularly in the development and analysis of CI algorithms for continuous optimization and in swarm intelligence and robotics.

    Teaching Activity


    Undergraduate Modules

    • Internet Computing (CS1240 and DC1240)
    • Internet Applications and Techniques (CS2410 and DC2410)
    • Computational Intelligence (CS3910)

    Postgraduate Modules

    • Machine Learning (CS4730)
    • Professional Practice (DC4000)

    Contact Details

    Phone number: 0121 204 3918


    Room number: MB211G 

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    • 3 Similar Profiles

    Research Output

    • 3 Conference publication
    • 2 Chapter
    • 2 Article
    • 1 Technical report
    Open Access
  • Two-B or not two-B? Design patterns for hybrid metaheuristics

    Patelli, A., Bencomo, N., Ekart, A., Goldingay, H. & Lewis, P., 11 Jul 2015, GECCO Companion '15 : proceedings of the companion publication of the 2015 annual conference on Genetic and Evolutionary Computation. Silva, S. (ed.). New York, NY (US): ACM, p. 1269-1274 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference publication

    A taxonomy of heterogeneity and dynamics in particle swarm optimisation

    Goldingay, H. & Lewis, P., 31 Dec 2014, Parallel Problem Solving from Nature - PPSN XIII: 13th international conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Bartz-Beielstein, T., Branke, J., Filipič, B. & Smith, J. (eds.). Springer, Vol. 8672. p. 171-180 10 p. (Lecture notes in computer science; vol. 8672).

    Research output: Chapter in Book/Report/Conference proceedingConference publication

  • Distributed sequential task allocation in foraging swarms

    Goldingay, H. & van Mourik, J., 11 Sep 2013, SASO: 2013 IEEE 7th international conference on Self-Adaptive and Self-Organizing Systems. IEEE, p. 149-158 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference publication

    Open Access
  • The effect of load on agent-based algorithms for distributed task allocation

    Goldingay, H. & van Mourik, J., 10 Feb 2013, In : Information Sciences. 222, p. 66–80 15 p.

    Research output: Contribution to journalArticle

    Open Access
  • Thesis

    Agent Based Models of Competition and Collaboration

    Author: Goldingay, H. J., Mar 2010

    Supervisor: Van Mourik, J. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy