Publications
2024
Applications of Machine Learning in Cyber Security: A Review
​I.J. Vourganas, A.L. Michala
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journal of Cybersecurity and Privacy, 4(4), 972–992
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​DOI
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​A comprehensive review of machine learning applications in cybersecurity, highlighting challenges and future directions.
2022
Acco​untable, Responsible, Transparent Artificial Intelligence in Ambient Intelligence Systems for Healthcare
I. Vourganas, H. Attar, A.L. Michala
​In Intelligent Healthcare: Infrastructure, Algorithms and Management, pp. 87–111
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​Discussion on implementing ART AI principles in ambient intelligence systems within healthcare settings.
2022
Pr​ediction of Wear Rates of UHMWPE Bearing in Hip Joint Prosthesis with Support Vector Model and Grey Wolf Optimization
​Rania E. Hammam, Hani Attar, Ayman Amer, Mohanad Deif
​Wireless Communications and Mobile Computing, 2022, Article ID 6548800
​This study presents a hybrid regression model combining Support Vector Machine (SVM) and Grey Wolf Optimizer (GWO) to predict wear rates of ultrahigh molecular weight polyethylene (UHMWPE) bearings in hip joint prostheses. The model utilizes data from pin-on-disc wear experiments and employs SHAP values for interpretability, identifying key factors influencing wear behavior.
2021
Vibr​ation Edge Computing in Maritime IoT
A.L. Michala, I. Vourganas, A. Coraddu
​ACM Transactions on Internet of Things, 3(1), 1–18
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​DOI
​Investigation into edge computing solutions for vibration analysis in maritime Internet of Things applications.
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2020
Indi​vidualised Responsible Artificial Intelligence for Home-Based Rehabilitation
​I. Vourganas, V. Stankovic, L. Stankovic
​Sensors, 21(1), 2
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Development of personalized AI models for home-based rehabilitation, emphasizing responsibility and ethical considerations.
2019
Eval​uation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests
​I. Vourganas, V. Stankovic, L. Stankovic, A.L. Michala
​Sensors, 20(1), 26
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​Assessment of home-based rehabilitation systems in comparison to standardized clinical tests.
2019​
Fact​ors That Contribute to the Use of Stroke Self-Rehabilitation Technologies: A Review
​I. Vourganas, V. Stankovic, L. Stankovic, A. Kerr
​JMIR Biomedical Engineering, 4(1), e13732
​Review of factors influencing the adoption of self-rehabilitation technologies among stroke patients