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Personal profile

Research interests

Recommender systems, Artificial Intelligence, Machine learning and cybersecurity.

Supervisory Interests

I am interested in supervising postgraduate research students in

  • Recommender Systems
  • Artificial Intelligence
  • Machine Learning
  • Cybersecurity

Scholarly biography

Since February 2019, I have been a Senior Lecturer in the School of Computing, Engineering and Mathematics at the University of Brighton. Prior to this, I was a Lecturer from May 2018 to January 2019 and a Research Fellow from March 2017 to March 2018. I'm also a Fellow of the Higher Education Academy (FHEA).

In terms of education, I obtained a BSc (Hons) from Heriot-Watt University in 2008, an MSc in Internet Software Systems from the University of Birmingham in 2011 and a PhD in Applied Informatics from the University of Macedonia (Greece) in 2017.

I have published more than 30 peer reviewed articles, served the wider community via various chairing roles and committee memberships for conferences and workshops (e.g. Special Session Organizer track on recommender systems REC 2019 held at the 11th International Conference on Computational Collective Intelligence ICCCI 2019, Workshop Chair at the 19th International Conference on Engineering Applications of Neural Networks EANN 2018, Publicity chair at the 10th International Conference on Computational Collective Intelligence ICCCI 2018 and program committee member for several other conferences) and by reviewing for a wide range of journals (e.g. IEEE Transactions in Systems, Man and Cybernetics: Systems, IEEE Access, Information Sciences, Expert Systems with Applications, Information Processing & Management, Journal of Information Science, PLOS one).  

Approach to teaching

Over the past few years I have taught a wide range of Computer Science topics covering the areas of Artificial Intelligence, Machine Learning, Cybersecurity and Web technologies in both undergraduate and postgraduate levels. I am enthusiastic about teaching and the modules that I teach. I adopt an interactive teaching approach where I aim to keep students engaged by asking questions and adapting accordingly. My teaching involves a variety of methods including lectures, practical exercises and assignments that encourage independent learning.

I have facilitated research into the curriculum by introducing the concept of Machine Learning for Cybersecurity for both my undergraduate and postgraduate courses. Furthermore, I have integrated research into final year undergraduate projects, which has led to scientific publications based on the project results and integrated relevant aspects of it into teaching.

 

Education/Academic qualification

PhD, University of Macedonia

Award Date: 15 Sep 2017

Master, University of Birmingham

Award Date: 15 Nov 2011

Bachelor, Heriot-Watt University

Award Date: 10 Jul 2008

Keywords

  • QA75 Electronic computers. Computer science
  • Artificial Intelligence
  • Machine Learning
  • Cybersecurity

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  • Data Stream Harmonization For Heterogeneous Workflows

    Bandis, E., Polatidis, N., Diapouli, M. & Kapetanakis, S., 30 Jun 2021, Proceedings of the 35th ECMS International Conference on Modelling and Simulation ECMS 2021. Al-Begain, K., Iacono, M., Campanile, L. & Bargiela, A. (eds.). p. 42-47 (Communications of the ECMS; vol. 35, no. 1).

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Open Access
    File
  • Recommender systems algorithm selection using machine learning

    Polatidis, N., Kapetanakis, S. & Pimenidis, E., 2021, 22nd International Conference on Engineering Applications of Neural Networks. (Proceedings of the International Neural Networks Society).

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

  • A novel dataset for fake android anti-malware detection

    Seraj, S., Pavlidis, M. & Polatidis, N., 30 Jun 2020, 10th International Conference on Web Intelligence, Mining and Semantics. New York: ACM, p. 205-209 5 p.

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Open Access
    File
  • DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping

    Amin, K., Kapetanakis, S., Polatidis, N., Althoff, K-D. & Dengel, A., 11 Sep 2020, INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings: INISTA 2020. Ivanovic, M., Yildirim, T., Trajcevski, G., Badica, C., Bellatreche, L., Kotenko, I., Badica, A., Erkmen, B. & Savic, M. (eds.). IEEE, p. 1-7 9194679. (INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings).

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Open Access
    File
  • SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

    Lansley, M., Mouton, F., Kapetanakis, S. & Polatidis, N., 10 Apr 2020, In: Journal of Information and Telecommunication.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File