Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks
JournalErtas, I.; Yetgin, H. — Engineering Applications of Artificial Intelligence 155
An academic with over 10 years of international experience in interdisciplinary computer engineering, artificial intelligence (AI), and wireless networks. Currently Lecturer and Programme Leader within the Computer Science Department at Middlesex University London. Strong teaching portfolio, innovative design and delivery of modules and assessments/feedback, a strong interest in Gen-AI in HE STEM, and a solid publication record in high-impact journals; experienced in EU-funded projects, and passionate about inclusive, student-centred teaching. He is a Fellow of Advance HE (FHEA).
Halil Yetgin
h. yetgin @ mdx . ac. uk
Computer Science Department
Middlesex University London
The Burroughs, London, United Kingdom
Current Teaching
Module CST2133 — Data Science and Machine Learning
Level: BSc
Module Leader
Foundations of DS/ML: data preparation, model building, evaluation, and responsible practice.
Module CST3133 — Advanced Topics in Data Science & AI
Level: BSc (Advanced)
Module Leader
Selected advanced DS/AI topics with research-led seminars and applied mini-projects.
Programme BSc Computer Science (Systems Engineering) — Programme Leadership
Oversight of curriculum coherence, assessment strategy, and student support across the programme.
- Curriculum mapping and quality enhancement
- Industry and research alignment
- Student experience and academic advising
Selected Publications
Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network
ConferenceThiha, M.; Yetgin, H.; Piras, L.; Al-Obeidallah, M.G. — ENASE 2025, Porto (Portugal), 04–06 Apr 2025; pp. 67–79
HANNA: Human-friendly provisioning and configuration of smart devices
JournalFortuna, C.; Yetgin, H.; Ogrizek, L.; Municio, E.; Marquez-Barja, J.M.; Mohorcic, M. — Engineering Applications of Artificial Intelligence 126 (Part A)
Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
MagazineFortuna, C.; Yetgin, H.; Mohorčič, M. — IEEE Industrial Electronics Magazine 17 (2), 37–47
Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks
JournalIvanescu, T.; Yetgin, H.; Merrett, G.V.; El-Hajjar, M. — IEEE Access 10, 119956–119969
Twin-component near-pareto routing optimization for AANETs in the North-Atlantic Region relying on real flight statistics
JournalCui, J.; Yetgin, H.; Liu, D.; Zhang, J.; Ng, S.X.; Hanzo, L. — IEEE Open Journal of Vehicular Technology 2, 346–364
Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic Region
JournalCui, J.; Liu, D.; Zhang, J.; Yetgin, H.; Ng, S.X.; Maunder, R.; Hanzo, L. — IEEE Open Journal of Vehicular Technology 2, 310–320
Machine learning for wireless link quality estimation: A survey
JournalCerar, G.; Yetgin, H.; Mohorčič, M.; Fortuna, C. — IEEE Communications Surveys and Tutorials 23 (2), 696–728
Time-to-provision evaluation of IoT devices using automated zero-touch provisioning
ConferenceBoskov, I.; Yetgin, H.; Vučnik, M.; Fortuna, C.; Mohorčič, M. — IEEE Global Communications Conference, Taipei, 07–11 Dec 2020
Learning to detect anomalous wireless links in IoT networks
JournalCerar, G.; Yetgin, H.; Bertalanic, B.; Fortuna, C. — IEEE Access 8, 212130–212155
On designing a machine learning based wireless link quality classifier
ConferenceCerar, G.; Yetgin, H.; Mohorčič, M.; Fortuna, C. — IEEE PIMRC 2020, London, UK, 31 Aug – 03 Sep 2020
Security, usability, and biometric authentication scheme for electronic voting using multiple keys
JournalAhmad, M.; Rehman, A.U.; Ayub, N.; Alshehri, M.D.; Khan, M.A.; Hameed, A.; Yetgin, H. — International Journal of Distributed Sensor Networks 16 (7)
Whitelisting in RFDMA networks
JournalŠolc, T.; Yetgin, H.; Gale, T.; Mohorčič, M.; Fortuna, C. — IEEE Access 7, 159284–159299
Transformation to advanced mechatronics systems within new industrial revolution: a novel framework in Automation of Everything (AoE)
JournalKuru, K.; Yetgin, H. — IEEE Access 7, 41395–41415
Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform
JournalKuru, K.; Ansell, D.; Khan, W.; Yetgin, H. — IEEE Access 7, 15804–15831
A survey of network lifetime maximization techniques in wireless sensor networks
JournalYetgin, H.; Cheung, K.T.K.; El-Hajjar, M.; Hanzo, L. — IEEE Communications Surveys and Tutorials 19 (2), 828–854
Network-lifetime maximization of wireless sensor networks
JournalYetgin, H.; Cheung, K.T.K.; El-Hajjar, M.; Hanzo, L. — IEEE Access 3, 2191–2226
Cross-layer network lifetime optimisation considering transmit and signal processing power in wireless sensor networks
JournalYetgin, H.; Cheung, K.T.K.; El-Hajjar, M.; Hanzo, L. — IET Wireless Sensor Systems 4 (4), 176–182
Cross-layer network lifetime maximization in interference-limited WSNs
JournalYetgin, H.; Cheung, K.T.K.; El-Hajjar, M.; Hanzo, L. — IEEE Transactions on Vehicular Technology 64 (8), 3795–3803
Multi-objective routing optimization using evolutionary algorithms
ConferenceYetgin, H.; Cheung, K.T.K.; Hanzo, L. — IEEE WCNC 2012, Paris, 01–04 Apr 2012; pp. 3030–3034