Projects per year
Personal profile
Research interests
Applied Artificial Intelligence, Machine Learning.
Supervisory Interests
I am interested in supervising postgraduate research students in the areas of: Artificial intelligence and Machine Learning.
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 60 peer reviewed articles, served the wider community via various chairing roles and committee memberships for conferences and workshops (e.g. General chair of the 17th International Symposium on Intelligent Distributed Computing IDC 2024, 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, Recommender Systems, 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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Cluster-Specific Localized Drift Detection for Efficient Batch Model Adaptation under Controlled Distribution Shift
Cabrera Martin, N., Trovati, M., Baimagambetov, A. & Polatidis, N., 26 Jun 2026, In: Expert Systems with Applications. 331, D, 39 p., 133370.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Datasets for Recommender Systems: A Survey and Comparative Overview
Polatidis, N., Baimagambetov, A., Kehagias, D., Trovati, M., Sarigiannidis, P. & Manolopoulos, Y., 7 Jul 2026, In: Journal of Intelligent Information Systems. 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Evolving Machine Learning in Non-Stationary Environments: A Unified Survey of Drift, Forgetting, and Adaptation
Cabrera Martin, N., Mukherjee, S., Baimagambetov, A., Vanschoren, J. & Polatidis, N., 10 Aug 2026, In: Applied artificial intelligence. 40, 1, 46 p., 2707047.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
LLM-Generated Samples for Android Malware Detection
Rollinson, N. & Polatidis, N., 18 Jan 2026, In: Digital. 6, 1, p. 5 1 p., 5.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Real-Time HRI: Human Hand Gesture Mapping for 7-DoF Robotic Arm Operation
Hussain, S., Saeed, K., Baimagambetov, A., Manolopoulos, Y. & Polatidis, N., 13 Mar 2026, In: Concurrency and Computation: Practice and Experience. 38, 6, 26 p., e70643.Research output: Contribution to journal › Article › peer-review
Open AccessFile
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Data Technologies & Applications (Journal)
Polatidis, N. (Editor)
Mar 2026 → …Activity: Publication peer-review and editorial work › Editorial work
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Information Systems (Journal)
Polatidis, N. (Editor)
Nov 2025 → …Activity: Publication peer-review and editorial work › Editorial work
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AI and Ethics (Journal)
Polatidis, N. (Member of editorial board)
Oct 2025 → …Activity: Publication peer-review and editorial work › Editorial work
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BSc in Cybersecurity
Polatidis, N. (Examiner)
2025 → …Activity: External examination and supervision › Taught course
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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