Imaging, Data and Communications

I lead a research group focused on developing and applying signal processing algorithms to biomedical data. Our main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity and how this changes in different conditions and mental states.

In October 2013, I joined the Institute for Digital Communications, School of Engineering, as a Chancellor's Fellow in biomedical signal processing. I was tenured in August 2016 and promoted to Senior Lecturer in August 2020.

Previously, I held a post-doctoral position at the School of Computing and Mathematics of Plymouth University.

My training includes an MEng in telecommunications engineering from the University of Valladolid (Spain) in 2005 and a PhD in biomedical signal processing from the same university in 2010.

• 2010 - PhD in Telecommunications Engineering - University of Valladolid (Spain)
• 2005 - MEng in Telecommunications Engineering (First) - University of Valladolid (Spain)

• Senior Member of the IEEE
• Fellow of the Higher Education Academy

• Programme Director of the MSc in Signal Processing and Communications
• Course organiser of Image Processing
• Teacher in Engineering Software 3
• Tutor in Engineering Mathematics 2A
• Supervision of final year projects and MSc theses

• Biomedical signal processing
• Brain connectivity
• Graph theory
• Machine learning
• Nonlinear analysis

Ozyurt is a Research and Teaching Associate in radar and communication systems at the School of Engineering, University of Edinburgh. He holds a PhD in Digital Communications from Edinburgh, an MSc in Information and Communications Engineering, and dual BSc degrees in Electronics & Communication Engineering and Management Engineering from Istanbul Technical University.

His research focuses on optical wireless communication, LiFi, joint radar-communication (JRC) systems, and energy-efficient networking. He has published extensively in leading journals, holds several international patents, and has received multiple awards recognizing his contributions to wireless communications. In addition to his academic work, Ozyurt brings industry experience from Ericsson and Vodafone, and remains actively engaged in academic service as a reviewer for top-tier journals and in leadership roles within the non-profit sector.

• PhD in Digital Communications, University of Edinburgh (2023) – Developed resilient optical wireless systems for IoT; funded by a prestigious Marie Skłodowska-Curie fellowship.
• MSc in Information and Communications Engineering, Istanbul Technical University (2019) – Graduated with a GPA of 3.81/4.00; thesis on green cellular networks led to patents and international publications.
• BSc in Electronics and Communication Engineering, Istanbul Technical University (2018) – Completed with an Erasmus exchange at ISEP, Paris; gained practical experience through internships at Aselsan, Turkcell, Beko, and Vestel.
• BSc in Management Engineering (Double Major), Istanbul Technical University (2018) – Combined technical and managerial skills; focused on project management, strategy, and engineering economics.

• [P1] A. B. Ozyurt, A. Stavridis, and Y. Turk, “Technique for Performing Time Synchronization,” January 2024, US US20240007213A1.
• [P2] R. Puerta, A. B. Ozyurt, P. Eriksson, and A. Stavridis, “Reciprocity Based Estimation of Optical Channel Gain,” February 2023, WIPO WO2023006231A1.
• [P3] R. Puerta, A. Stavridis, P. Eriksson, and A. B. Ozyurt, “Reciprocity Based Optical Wireless Communication,” December 2022, WIPO WO2022263009A1.
• [P4] A. B. Ozyurt, L. Durak-Ata and B. Kartal, “Energy-Efficient Handover Technique in Mobile Networks,” Nov. 2020, TPI TR201906378A2.
• [P5] A. B. Ozyurt, A. Hiz and L.Durak-Ata, “Using Of Mobile Network Frequency Bands for Energy Efficiency,” Feb. 2018, TPI TR201722027A2.
• [J1] A. B. Ozyurt, A. Stavridis and W. O. Popoola, “Color-Based Time Synchronization for Future Networks: Advantages, System Architecture, and Potential Use Cases,” in IEEE Communications Magazine, vol. 62, no. 3, pp. 70-75, March 2024.
• [J2] A. B. Ozyurt, I. Tinnirello, and W. O. Popoola, “LiFi-Enabled UAV Swarm Networks,” in Optica Applied Optics, vol. 63, no.6, pp. 1471-1480, February 2024.
• [J3] A. B. Ozyurt and W. O. Popoola, “LiFi-Based D2D Communication in Industrial IoT,” in IEEE Systems Journal, vol. 17, no. 1, pp. 1591-1598, March 2023.
• [J4] A. B. Ozyurt and W. O. Popoola, “CoMP-JT Scheme for D2D Communication in Industrial LiFi Networks,” in IEEE Access, vol. 10, pp. 70760-70768, July 2022.
• [J5] A. B. Ozyurt and W. O. Popoola, “Mobility management in multi-tier LiFi networks,” in IEEE/OSA Journal of Optical Communications and Networking, vol. 13, no. 9, pp. 204-213, September 2021.
• [J6] A. B. Ozyurt, M. Basaran, M. Ardanuc, L. Durak-Ata and H. Yanikomeroglu, “Intracell Frequency Band Exiling for Green Wireless Networks,” in IEEE Vehicular Tech. Magazine, vol. 16, no. 2, pp. 31-39, June 2021.
• [C1] A. B. Ozyurt, S. Mohalik, and J. S. Thompson, “Analysis of Joint Radar and Communication in Disaster Scenarios,” 2025 IEEE Wireless Communications and Networking Conference (WCNC), Italy, 2025, pp. 1-6
• [C2] A. B. Ozyurt and W. O. Popoola, “Analysis of Over-the-Air Time Synchronization for Industrial LiFi Networks,” 2023 IEEE Wireless Communications and Networking Conference (WCNC), UK, 2023, pp. 1-5.
• [C3] A. B. Ozyurt, H. Haas, R. Bian and W. O. Popoola, “Energy and Spectral Efficiency of Multi-Tier LiFi Networks,” 2023 IEEE Wireless Communications and Networking Conference (WCNC), UK, 2023, pp. 1-6.
• [C4] A. B. Ozyurt, I. Tinnirello and W. O. Popoola, “Modelling of Multi-Tier Handover in LiFi Networks,” 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6.
• [C5] A. B. Ozyurt, M. Basaran and L. Durak-Ata, “Impact of Self-Configuration on Handover Performance in Green Cellular Networks,”2018 Advances in Wireless and Optical Com. (RTUWO), Latvia, 2018, pp. 194-197.
• [C6] A. B. Ozyurt, A. Hız and L. D. Ata, “Energy-Efficient Utilization of Different Frequency Bands for Green Cellular Networks,” 2018 26th Signal Processing and Comm. Appl. Conference (SIU), Turkey, 2018, pp. 1-4.