Email: h.yetgin @ mdx.ac.uk Office: T000 Town Hall Building, Hendon Campus Personal Website
About
- Lecturer in Science and Technology
Research Interests
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Lifetime optimisation of wireless networks
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Multi-objective optimisation (evolutionary algorithms, e.g. NSGA-II)
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Wireless link quality estimation and anomaly detection
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Resource allocation using optimisation techniques (cross-layer, routing, etc.)
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Zero-touch provisioning of smart devices in IoT networks
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More generally, AI for wireless networks and other applications.
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Open to research collaborations and discussions.
Publications Repository
Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks
Ertas, I. and Yetgin, H. 2025. Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks. Engineering Applications of Artificial Intelligence. 155. https://doi.org/10.1016/j.engappai.2025.110952
Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network
Thiha, M., Yetgin, H., Piras, L. and Al-Obeidallah, M.G. 2025. Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network. Mannion, M., Mannisto, T. and Maciaszek, L. (ed.) 20th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE). Porto (Portugal) 04 - 06 Apr 2025 SCITEPRESS - Science and Technology Publications. pp. 67-79 https://doi.org/10.5220/0013238500003928
HANNA: Human-friendly provisioning and configuration of smart devices
Fortuna, C., Yetgin, H., Ogrizek, L., Municio, E., Marquez-Barja, J.M. and Mohorcic, M. 2023. HANNA: Human-friendly provisioning and configuration of smart devices. Engineering Applications of Artificial Intelligence. 126 (Part A). https://doi.org/10.1016/j.engappai.2023.106745
Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks
Ivanescu, T., Yetgin, H., Merrett, G.V. and El-Hajjar, M. 2022. Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks. IEEE Access. 10, pp. 119956-119969. https://doi.org/10.1109/access.2022.3221446
Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
Fortuna, C., Yetgin, H. and Mohorčič, M. 2023. Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation. IEEE Industrial Electronics Magazine. 17 (2), pp. 37-47. https://doi.org/10.1109/MIE.2022.3165673
Twin-component near-pareto routing optimization for AANETs in the North-Atlantic Region relying on real flight statistics
Cui, J., Yetgin, H., Liu, D., Zhang, J., Ng, S.X. and Hanzo, L. 2021. Twin-component near-pareto routing optimization for AANETs in the North-Atlantic Region relying on real flight statistics. IEEE Open Journal of Vehicular Technology. 2, pp. 346-364. https://doi.org/10.1109/OJVT.2021.3095467
Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region
Cui, J., Liu, D., Zhang, J., Yetgin, H., Ng, S.X., Maunder, R. and Hanzo, L. 2021. Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region. IEEE Open Journal of Vehicular Technology. 2, pp. 310-320. https://doi.org/10.1109/OJVT.2021.3089543
Machine learning for wireless link quality estimation: A survey
Cerar, G., Yetgin, H., Mohorčič, M. and Fortuna, C. 2021. Machine learning for wireless link quality estimation: A survey. IEEE Communications Surveys and Tutorials. 23 (2), pp. 696-728. https://doi.org/10.1109/COMST.2021.3053615
Time-to-provision evaluation of IoT devices using automated zero-touch provisioning
Boskov, I., Yetgin, H., Vučnik, M., Fortuna, C. and Mohorčič, M. 2020. Time-to-provision evaluation of IoT devices using automated zero-touch provisioning. 2020 IEEE Global Communications Conference. Taipei, Taiwan 07 - 11 Dec 2020 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9348119
Learning to detect anomalous wireless links in IoT networks
Cerar, G., Yetgin, H., Bertalanic, B. and Fortuna, C. 2020. Learning to detect anomalous wireless links in IoT networks. IEEE Access. 8, pp. 212130-212155. https://doi.org/10.1109/ACCESS.2020.3039333