Photo of Alina Patelli
    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    20152020

    Research output per year

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    Personal profile

    Research Interests

    I specialise in evolutionary computation, specifically, genetic programming and its applications in smart cities, with a focus on traffic modelling and prediction. My interests also include autonomic, knowledge-based systems, as well as self-adaptation and self-organisation in computing.

    Teaching Activity

    Java Program Construction (CS2300)

    Computational Intelligence (CS4720)

    Responsibilities

    Digital & Technology Solutions Degree Apprenticeship Programme Director

    Employment

    August 2018 - present: Lecturer in Computer Science (Institute of Coding)

    May 2018 - August 2018: Postdoctoral Research Fellow (ERDF Think Beyond Data)

    March 2017 - December 2018: Research Associate (EXCELL - Excellence in Smart Cyber-Physical Systems)

    August 2015 - May 2018: Teaching Fellow (Foundations of Technology Solutions Boot-camp - Digital & Technology Solutions Degree Apprenticeship)

    August 2014 - August 2015: Programming Support Officer (EAS - Computer Science, Aston University)

    Contact Details

    Email: a.patelli2@aston.ac.uk

    Room number: MB265E

    Education/Academic qualification

    PhD

    Award Date: 10 Jan 2017

    PG Cert

    Award Date: 1 Jan 2017

    PhD

    Award Date: 1 May 2011

    Keywords

    • Q Science (General)
    • evolutionary computation
    • intelligent knowledge based systems
    • smart cities

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    • 14 Similar Profiles

    Research Output

    • 6 Conference contribution
    • 1 Article

    Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction

    Ekárt, A., Patelli, A., Lush, V. & Ilie-Zudor, E., 3 Sep 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE

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

  • How to Successfully Run a Digital Apprenticeship: The Programming Boot Camp Case Study

    Patelli, A., Beaumont, T. & James, G., 10 Jan 2020, Proceedings - 4th Conference on Computing Education Practice, CEP 2020. ACM, p. 1-4 3. (ACM International Conference Proceeding Series).

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

  • Disobedience as a mechanism of change

    Burth Kurka, D., Pitt, J., Lewis, P. R., Patelli, A. & Ekart, A., 15 Jan 2019, Proceedings - 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2018. IEEE, Vol. 2018-September. p. 1-10 10 p. 8613714. ( 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)).

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

  • An architecture for the autonomic curation of crowdsourced knowledge

    Patelli, A., Lewis, P. R., Ekárt, A., Wang, H., Nabney, I. T., Bennett, D., Lucas, R. & Cole, A., 1 Sep 2017, In : Cluster Computing. 20, 3, p. 2031–2046 16 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • Gaining insights into road traffic data through genetic improvement

    Ekárt, A., Patelli, A., Lush, V. & Ilie-Zudor, E., 15 Jul 2017, GECCO '17: proceedings of the Genetic and Evolutionary Computation Conference. New York, NY (US): ACM, p. 1511-1512 2 p.

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

    Open Access
    File