Dr Halil Yetgin
| Name | Dr Halil Yetgin |
|---|---|
| Job title | Lecturer in Computing Science |
| Research institute | |
| Primary appointment | Computer Science |
| Email address | H.Yetgin@mdx.ac.uk |
| ORCID | https://orcid.org/0000-0003-0994-5839 |
| Contact category | Academic staff |
Biography
Biography Dr. Yetgin holds a PhD in Wireless Communications from the Next Generation Wireless Research Group at the University of Southampton. His experience includes a research fellowship in the Department of Communication Systems at the Jožef Stefan Institute in Slovenia. He has also held an assistant professorship in Turkey, gaining valuable experience in teaching, research and administration. Dr Yetgin has supervised both MSc and PhD students and contributed to EU-funded research projects. He has participated in various IEEE conferences as a member of the technical programme committee and is an editor in several journals. His research mainly focuses on AI for wireless networks, including vehicular, UAV and IoT systems, as well as resource allocation and multi-objective optimisation.
Teaching I have more than 6 years of teaching experience including all levels (BSc, MSc and PhD). I am a Module Leader for: CST2133 Data Science and Machine Learning CST3133 Advanced Topics in Data Science and Artificial Intelligence I am also a Programme Leader for BSc Computer Science (Systems Engineering).
Education and qualifications
Grants
Prizes and Awards
External activities
Research outputs
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.2023.106745Multi-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.2022.3221446Smart 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.2022.3165673Twin-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.2021.3095467Minimum-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.2021.3089543Machine 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.2021.3053615Time-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/GLOBECOM42002.2020.9348119Learning 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.2020.3039333On designing a machine learning based wireless link quality classifier
Cerar, G., Yetgin, H., Mohorčič, M. and Fortuna, C. 2020. On designing a machine learning based wireless link quality classifier. IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. London, UK 31 Aug - 03 Sep 2020 IEEE. https://doi.org/10.1109/PIMRC48278.2020.9217171Security, usability, and biometric authentication scheme for electronic voting using multiple keys
Ahmad, M., Rehman, A.U., Ayub, N., Alshehri, MD., Khan, M.A., Hameed, A. and Yetgin, H. 2020. Security, usability, and biometric authentication scheme for electronic voting using multiple keys. International Journal of Distributed Sensor Networks. 16 (7). https://doi.org/10.1177/1550147720944025Whitelisting in RFDMA networks
Šolc, T., Yetgin, H., Gale, T., Mohorčič, M. and Fortuna, C. 2019. Whitelisting in RFDMA networks. IEEE Access. 7, pp. 159284-159299. https://doi.org/10.1109/ACCESS.2019.2950754Transformation to advanced mechatronics systems within new industrial revolution: a navel framework in Automation of Everything (AoE)
Kuru, K. and Yetgin, H. 2019. Transformation to advanced mechatronics systems within new industrial revolution: a navel framework in Automation of Everything (AoE). IEEE Access. 7, pp. 41395-41415. https://doi.org/10.1109/ACCESS.2019.2907809Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform
Kuru, K., Ansell, D., Khan, W. and Yetgin, H. 2019. Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform. IEEE Access. 7, pp. 15804-15831. https://doi.org/10.1109/ACCESS.2019.2892716A survey of network lifetime maximization techniques in wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2017. A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys and Tutorials. 19 (2), pp. 828-854. https://doi.org/10.1109/COMST.2017.2650979Network-lifetime maximization of wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2015. Network-lifetime maximization of wireless sensor networks. IEEE Access. 3, pp. 2191-2226. https://doi.org/10.1109/ACCESS.2015.2493779Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks
Yetgin, H., Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2014. Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks. IET Wireless Sensor Systems. 4 (4), pp. 176-182. https://doi.org/10.1049/iet-wss.2014.0049Cross-layer network lifetime maximization in interference-limited WSNs
Yetgin, H,, Cheung, K.T.K., El-Hajjar, M. and Hanzo, L. 2015. Cross-layer network lifetime maximization in interference-limited WSNs. IEEE Transactions on Vehicular Technology. 64 (8), pp. 3795-3803. https://doi.org/10.1109/TVT.2014.2360361Multi-objective routing optimization using evolutionary algorithms
Yetgin, H., Cheung, K.T.K. and Hanzo, L. 2012. Multi-objective routing optimization using evolutionary algorithms. 2012 IEEE Wireless Communications and Networking Conference. Paris, France 01 - 04 Apr 2012 IEEE. pp. 3030-3034 https://doi.org/10.1109/WCNC.2012.6214324662
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