• School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    PhD projects

    I am happy to take on new PhD students interested in various aspects of artificial intelligence research.

    Personal profile

    Biography

    I am a Professor in Computer Science at Aston University, specialising in Artificial Intelligence. I am also Director of Research Degree Programmes in the College of Engineering and Physical Sciences.

    I joined Aston as a lecturer in Computer Science in January 2006. During my time at Aston, I served as Associate Dean for Postgraduate Programmes between Aug 2017- May 2020 and Head of Computer Science in the period Aug 2016- May 2017.

    Previously, I held research positions at the Institute for Computer Science and Control, Hungarian Academy of Sciences in Budapest, Hungary. At the same time I lectured in Artificial Intelligence at various levels for the Eötvös Loránd University and the Dennis Gábor University in Budapest. 

    Between 2001 and 2003 I was a lecturer in Computer Science at the University of Birmingham, where I lectured in Artificial Intelligence and Human Computer Interaction.

    Research Interests

    My research interests are in the broad area of Artificial Intelligence Techniques. More specifically, I am interested in computational intelligence, theory and applications of genetic programming and evolutionary computation. I am also involved in evolutionary art, where the personal aesthetic preference is modelled and followed by evolutionary methods. Additionally, I am interested in data mining for engineering, design and health areas. More recently, I have started contributing to social learning and trust in AI.

    Teaching Activity


    I am Programme Director for the MSc Artificial Intelligence and MSc Artificial Intelligence with Business Strategy programmes.

    Currently I am teaching on a variety of Artificial Intelligence modules for BSc final year undergraduate and MSc students: Computational Intelligence at both BSc and MSc level, and Research Methods and Professional Practice at MSc level. I am also supervising BSc final year and MSc projects.

     

    Previously I have taught modules on Computational Reasoning and Communication Skills, Introduction to Artificial Intelligence, Machine learning, Software Lifecycle and Design, Interaction Design at BSc level, Professional Skills in Computing at MSc level.

     

     

     

    Qualifications

    • Senior Fellow of the Higher Education Academy (SFHEA), 2019
    • Aston ExCL, 2010
    • Aston Certificate in Learning and Teaching in Higher Education, 2007
    • PhD in Informatics, Eötvös Loránd University, Budapest, summa cum laude, 2001
    • MSc in Next Generation of Computers, Technical University of Cluj-Napoca, Romania, 1996
    • MSc with Distinction in Computer Science, Technical University of Cluj-Napoca, Romania, 1995 (top student of the year)

    Employment

    • Since August 2022: Professor in Computer Science, College of  Engineering and Physical Sciences, Aston University
    • August 2018- July 2022: Reader in Computer Science, College of  Engineering and Physical Sciences, Aston University
    • August 2012-July 2018: Senior Lecturer in Computer Science, School of  Engineering and Applied Science, Aston University
    • 2006 – July 2012: Lecturer in Computer Science, School of  Engineering and Applied Science, Aston University
    • 2003 – 2006: Senior Researcher, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary
    • 2001 – 2003: Lecturer in Computer Science, University of Birmingham
    • 1996-2001: Researcher, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary 

    Membership of Professional Bodies

    British Computer Society

    Contact Details

    Phone number: 0121 204 3456

    Email: a.ekart@aston.ac.uk

    Room number: MB 211J

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    • SDG 3 - Good Health and Well-being
    • SDG 11 - Sustainable Cities and Communities

    External positions

    Guest editor for Special Issue of the IEEE Transactions on Games journal on Evolutionary Computation for Games, IEEE

    2021 → …

    Partner Editor for Evolutionary Computation, Springer Nature Computer Science, Springer Publishing

    2021 → …

    Associate Editor, International Journal of Virtual and Augmented Reality, IGI Global

    2017 → …

    Editorial Board Member, Genetic Programming and Evolvable Machines journal, Springer

    2012 → …

    Keywords

    • QA76 Computer software
    • computer art
    • evolutionary computation
    • genetic programming
    • artificial intelligence
    • data mining

    Fingerprint

    Dive into the research topics where Aniko Ekárt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles

    Collaborations and top research areas from the last five years

    Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
    • Estimating the Limits of Organism-Specific Training for Epitope Prediction

      Ashford, J., Ekárt, A. & Campelo, F., 1 Jan 2024, 4th Workshop on Artificial Intelligence and Big Data vs. Pandemics: at 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, p. 4195-4202

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
      File
    • Predictive World Models for Social Navigation

      Oguzie, G., Ekárt, A. & Manso, L. J., 1 Feb 2024, Advances in Computational Intelligence Systems, Contributions Presented at the 22nd UK Workshop on Computational Intelligence. Naik, N., Jenkins, P., Grace, P., Yang, L. & Prajapat, S. (eds.). Springer, p. 53–64 13 p. (Advances in Intelligent Systems and Computing (AISC)).

      Research output: Chapter in Book/Published conference outputConference publication

    • Guest Editorial: Special Issue on Evolutionary Computation for Games

      Schrum, J., Liu, J., Browne, C., Ekárt, A. & Gallagher, M., 17 Mar 2023, In: IEEE Transactions on Games. 15, 1, p. 1-4 4 p.

      Research output: Contribution to journalEditorialpeer-review

      Open Access
    • Is Beauty in the Age of the Beholder?

      Easton, E., Bernardet, U. & Ekárt, A., 1 Apr 2023, Artificial Intelligence in Music, Sound, Art and Design - 12th International Conference, EvoMUSART 2023, Held as Part of EvoStar 2023, Proceedings: 12th International Conference, EvoMUSART 2023. Johnson, C., Rodríguez-Fernández, N. & Rebelo, S. M. (eds.). p. 84-99 (Lecture Notes in Computer Science; vol. 13988).

      Research output: Chapter in Book/Published conference outputConference publication

    • Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning

      Hamilton, J. R., Ekárt, A. & Patelli, A., 9 Apr 2023, International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Correia, J., Smith, S. & Qaddoura, R. (eds.). 1 ed. p. 519–535 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13989 LNCS).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
      File