Professor Stavros Shiaeles
Summary
Dr. Stavros Shiaeles is a Professor of Cybersecurity and Applied AI and Co-Director of the PAIDS Centre at the University of Portsmouth. He has authored over 130 publications, which have garnered more than 3000 citations, reflecting his significant contributions to the field.
Over the past five years, Dr. Shiaeles has successfully secured external funding totaling approximately €18 million through various EU Horizon 2020 collaborative research grants in cybersecurity. Currently, he is the Principal Investigator for the Horizon XTRUST-6G collaborative research project for the University of Portsmouth's Cybersecurity team, which has a budget of €8 million. These projects have focused on advancing cybersecurity measures, including the development of intelligent cyber-defense frameworks and innovative intrusion prevention systems.
Dr. Shiaeles holds several professional certifications, including EC-Council Certified Ethical Hacker (CEH), EC-Council Advanced Penetration Testing (CAST611), ISACA COBIT 5 Foundation, and Cyberoam Certified Network and Security Professional (CCNSP). He is also an EC-Council accredited instructor, providing professional certifications training in cybersecurity and penetration testing. Additionally, he is a Senior IEEE Member, Fellow of the British Computer Society (BCS), a Silver member of ISACA, and a Fellow of the Higher Education Academy.
Dr. Shiaeles is actively involved in supervising and mentoring PhD students and researchers in cybersecurity. He welcomes highly motivated individuals to join his team. If you are interested, please contact him with your CV, a cover letter, and a research proposal to discuss potential opportunities.
Furthermore, Dr. Shiaeles is open to collaborations with investors or companies interested in Knowledge Transfer Partnerships (KTPs) or exploring the commercialization of his research ideas or consulting. He is more than happy to arrange a meeting to discuss these opportunities further.
Research outputs
2025
Stock price prediction using a stacked heterogeneous ensemble
Parker, M., Ghahremani, M., Shiaeles, S.
1 Dec 2025, In: International Journal of Financial Studies. 13, 4, 23p., 201
Research output: Article
Adapt-LFA: adaptive gradient-guided label flipping attack against federated learning-based intrusion detection in IoT
Rezaei, H., Taheri, R., Jordanov, I., Shiaeles, S.
26 Aug 2025,
Research output: Conference contribution
Audio-deepfake: generation methods, legitimate applications and the potential for misuse
Bendiab, G., Zeltni, K., Bader-El-Den, M., Shiaeles, S.
26 Aug 2025,
Research output: Conference contribution
A wide and weighted deep ensemble model for behavioral drifting ransomware attacks
Urooj, U., Al-rimy, B. A. S., Gazzan, M., Zainal, A., Amer, E., Almutairi, M., Shiaeles, S., Sheldon, F.
1 Apr 2025, In: Mathematics. 13, 7, 27p., 1037
Research output: Article
DeepGuard: identification and attribution of AI-generated synthetic images
Namani, M. Y. N., Reghioua, I. R., Bendiab, G., Labiod, M. A., Shiaeles, S.
8 Feb 2025, In: Electronics. 14, 4, p. 1-16, 16p., 665
Research output: Article
Enhancing Bitcoin price prediction with deep learning: integrating social media sentiment and historical data
Htay, H. S., Ghahremani, M., Shiaeles, S.
4 Feb 2025, In: Applied Sciences. 15, 3, p. 1-21, 21p., 1554
Research output: Article
Deepfakes in digital media forensics: generation, AI-based detection and challenges
Bendiab, G., Haiouni, H., Isidoros, M., Shiaeles, S.
1 Feb 2025, In: Journal of Information Security and Applications. 88, 21p., 103935
Research output: Article
Bi-layer deep learning with neural networks and large language models for cognitive biometrics
Swann, M., Shiaeles, S., Kolokotronis, N.
17 Jan 2025, In: IEEE Transactions on Emerging Topics in Computing, 13p.
Research output: Article
2024
Enhancing ATM security management in the post-quantum era with quantum key distribution
Ahmad, F., Kanta, A., Shiaeles, S., Naeem, A., Khalid, Z., Mahboob, K.
24 Sep 2024,
Research output: Conference contribution
Video-based abnormal human behaviour detection for video forensics
Ziani, I., Bendiab, G., Bouzenada, M., Shiaeles, S.
24 Sep 2024,
Research output: Conference contribution