Research Staff

Shady Agwa is a Research Fellow at the Centre for Electronics Frontiers CEF, The University of Edinburgh (UK). He received his BSc and MSc degree from Assiut University (Egypt), both in Electrical Engineering. He got his PhD in Electronics Engineering from The American University in Cairo (Egypt) in 2018. Following his PhD, he joined the Computer Systems Laboratory at Cornell University (USA) as a Postdoctoral Associate for two years. In 2021, Shady joined the Centre for Electronics Frontiers at the University of Southampton (UK) as a Senior Research Fellow and then as a Research Fellow at the University of Edinburgh (UK). His research interests span across VLSI and Computer Architecture for AI using conventional and emerging technologies. His work focuses on AI-Specific Integrated Circuits \& Systems (AISICS) with extensive expertise in In-Memory Computing, Stochastic/Bitstream Computing, Systolic Arrays, Beyond Von Neumann Architectures, Memories, and Energy-Efficient Digital ASIC Design.

• PhD in Electronics Engineering, The American University in Cairo, Egypt.
• MSc in Computer Engineering, Assiut University, Egypt.
• BSc in Computer & Systems Engineering, Assiut University, Egypt.

IEEE Member.

• 2024 - 2025, Digital System Design Course (3rd).
• 2023 - 2025, Digital Systems Lab Courses (4th & MSc).

My research focuses on novel AI Computing Architectures with extensive exploration of: In-Memory Computing (IMC), Stochastic Computing (SC), Spatial Dataflows & Systolic Arrays, Non-Binary Computing Domains, Beyond Von Neumann Architectures, Emerging Technologies, Memories, and Energy-Efficient Digital ASIC Design. My research philosophy adopts two themes: 1) AI Computing Systems using Today’s technologies, including spatial dataflows, maximum data utilization, and hardware specialization, and 2) Unconventional AI Computing Systems using Tomorrow’s technologies, like in-memory computing, emerging devices, and unconventional AI Computing Paradigms.

Digital VLSI, Domain-Specific Computer Architecture, AI/ML, Hardware Acceleration, Digital ASIC Design, Dataflow Architectures & Systolic Arrays, In-Memory Computing, Stochastic Computing, Memory Design, Analogue Content-Addressable Memories, Convolutional Neural Networks CNNs, Large Language Models LLMs.

In 2021, I joined the Centre for Electronics Frontiers (CEF) at the University of Edinburgh (UK) as a Research Fellow (previously at the University of Southampton). I work on bridging the gap between emerging technologies and the ever-increasing performance demands of AI models, especially Convolutional Neural Networks (CNNs) and Large Language Models (LLMs). Since I joined CEF, I have been leading three research projects and have had 17 publications (Aug. 2025) (including 4 IEEE TCAS-I, 1 IEEE-TCASAI, 1 IEEE OJCAS, 1 Frontiers Nanoelectronics, 5 IEEE ISCAS, and 2 IEEE NEWCAS). I also filed 5 patents and contributed significantly to 6 AI Chips. Moreover, I am a Researcher Co-PI of a successful grant “Prosensing” with a budget of 1.45 million GBP (UKRI EPSRC NSS).

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.

Spyros has a background in semiconductor physics and currently works on the realisation, fabrication and characterisation ofnovel devices based on semiconductors and thin films. His main research interest is around heterogeneous integration of thin filmsand semiconductors to enable applications in novel memories and beyond-CMOS electronics. He is also responsible for developingnew fabrication and testing processes that cut across the different CEF areas of research.

• MSc Applied Physics - Nat. University of Athens - 2009
• PhD Applied Physics - Nat. University of Athens - 2015