Projects per year
Personal profile
Research interests
Machine learning, cybersecurity.
Supervisory Interests
I am interested in supervising postgraduate research students in the areas of: Machine Learning, Automated Machine Learning (AutoML) and in the area of Cybersecurity.
Scholarly biography
Since February 2022 I have been a Principal Lecturer in Computer Science in the School of Architecture, Technology and Engineering at the University of Brighton. Prior to this, I was a Senior Lecturer from February 2019 to January 2022, 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 50 peer reviewed articles, served the wider community via various chairing roles and committee memberships for conferences and workshops (e.g. Local Organising Committee member at the 31st International Conference on Artificial Neural Networks ICANN 2022, 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 for publishers such as IEEE, Springer, Elsevier, Wiley, Taylor & Francics and others.
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, Recommendations in mobile commerce environments: supporting quality and privacy requirements, University of Macedonia
Award Date: 15 Sept 2017
Master, Internet Software Systems, University of Birmingham
Award Date: 15 Nov 2011
Bachelor, Computer Science, Heriot-Watt University
Award Date: 10 Jul 2008
Keywords
- QA75 Electronic computers. Computer science
- Artificial Intelligence
- Machine Learning
- Cybersecurity
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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ALFIE: Assessment of Learning technologies and Frameworks for Intelligent and Ethical AI (ALFIE)
Polatidis, N. (PI) & Haynes, P. (CoI)
4/11/24 → 3/11/27
Project: EU / International
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ChatGPT-Driven Machine Learning Code Generation for Android Malware Detection
Nelson, J., Pavlidis, M., Fish, A., Kapetanakis, S. & Polatidis, N., 8 Nov 2024, In: The Computer Journal. 60 p., bxae114.Research output: Contribution to journal › Article › peer-review
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Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves
Mbungang, B. N., Wacka, J. B. A., Tchakounte, F., Polatidis, N., Nlong II, J. M. & Tieudjo, D., 22 Aug 2024, In: SN Computer Science. 5, 810.Research output: Contribution to journal › Article › peer-review
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Enhancing LLM code generation using natural language processing in the contexts of machine learning
Nelson, J., Pavlidis, M., Fish, A. & Polatidis, N., 30 Jul 2024, (Accepted/In press) The 28th International Database Engineered Applications Symposium: IDEAS 2024. SpringerResearch output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
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Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude
Sobo, A., Mubarak, A., Baimagambetov, A. & Polatidis, N., 19 Dec 2024, In: Applied artificial intelligence. 39, 1, 22 p., 2439610.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
FSSDroid: Feature Subset Selection for Android Malware Detection
Polatidis, N., Kapetanakis, S., Trovati, M., Korkontzelos, I. & Manolopoulos, Y., 16 Jul 2024, In: World Wide Web. 27, 17 p., 50.Research output: Contribution to journal › Article › peer-review
Open AccessFile
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The Computer Journal (Journal)
Polatidis, N. (Member of editorial board)
Aug 2023 → …Activity: Publication peer-review and editorial work › Editorial work
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Computing subject area external examiner
Polatidis, N. (Examiner)
2023 → …Activity: External examination and supervision › Taught course
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IET Networks (Journal)
Polatidis, N. (Member of editorial board)
Nov 2022 → …Activity: Publication peer-review and editorial work › Editorial work
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Machine Learning with Applications (Journal)
Polatidis, N. (Member of editorial board)
Aug 2022 → Jul 2023Activity: Publication peer-review and editorial work › Editorial work
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Applied artificial intelligence (Journal)
Polatidis, N. (Member of editorial board)
May 2022 → …Activity: Publication peer-review and editorial work › Editorial work