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Personal profile

Research interests

Artificial Intelligence and Machine learning and their applications in emerging domains such as cybersecurity.

Research interests include:

  • Artificial Intelligence
  • Machine Learning
  • Cybersecurity

Supervisory Interests

I am interested in supervising postgraduate research students in

  • Artificial Intelligence
  • Machine Learning
  • Cybersecurity

I have sucessfully supervised:

- Gharbi Alshammari (Hydra: A hybrid framework that improves collaborative filtering recommendation quality)

- Abdullah Alshammari (Exploiting social media network structure to improve user profiles for short-text-based recommender systems)

I'm currently supervising:

- Olanrewaju Sanda (A novel patient-centric blockchain approach to establish CIA principles and healthcare data privacy)

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

Master, University of Birmingham

Bachelor, Heriot-Watt University

Keywords

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

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Research Output

  • 17 Article
  • 16 Conference contribution with ISSN or ISBN
  • 2 Paper

A novel dataset for fake android anti-malware detection

Seraj, S., Pavlidis, M. & Polatidis, N., 2020, 10th International Conference on Web Intelligence, Mining and Semantics. ACM

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

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 journalArticle

Open Access
File

An explanation-based approach for experiment reproducibility in recommender systems

Polatidis, N., Papaleonidas, A., Pimenidis, E. & Iliadis, L., 27 May 2019, In : Neural Computing and Applications. p. 1-8

Research output: Contribution to journalArticle

Open Access
File
  • A novel recommendation method based on general matrix factorization and artificial neural networks

    Kapetanakis, S., Polatidis, N., Alshammari, G. & Petridis, M., 26 Oct 2019, In : Neural Computing and Applications. p. 1-8

    Research output: Contribution to journalArticle

  • Activities

    Higher Education Academy: Fellow (FHEA) (External organisation)

    Nikolaos Polatidis (Fellow)
    2020

    Activity: External boards and professional/academic bodiesMembership of professional body

    BSc (Hons) in Cybersecurity

    Nikolaos Polatidis (Examiner)
    20202024

    Activity: External examination and supervisionTaught course

    4th Artificial Intelligence and Intelligent Systems Conference

    Nikolaos Polatidis (Member of programme committee)
    5 Sep 20196 Sep 2019

    Activity: EventsConference

    11th International Conference on Computational Collective Intelligence, ICCCI 2019

    Nikolaos Polatidis (Member of programme committee)
    4 Sep 20196 Sep 2019

    Activity: EventsConference