Imaging, Data and Communications

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Dr. Yunjie Yang is a Senior Lecturer (US Equivalent: Associate Professor) at The University of Edinburgh. He is also an affiliate of the Edinburgh Futures Institute (EFI), the Edinburgh Generative AI Laboratory (GAIL) fellow, and part of the Edinburgh Centre for Robotics. He was the Chancellor’s Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024). He received his PhD in Engineering Electronics from The University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. After his PhD, he briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at The University of Edinburgh before he secured the lectureship.

His research interests focus on AI-powered sensing and imaging, machine learning, digital twins, soft sensors & electronics for robotics. His research has led to over 130 peer-reviewed journal and international conference publications, many of which were published in high-impact journals such as Nature portfolio journals (Nature Machine Intelligence, Communications Engineering), IEEE TNNLS, TMI, TII, TBME and TIM. His research has been licensed to overseas research institutes and industry partners and received wide media coverage, including BBC, EFE, USA Today and STV. He is the awardee of the prestigious European Research Council (ERC) Starting Grant.

Dr. Yang serves as the Associate Editor of IEEE Transactions on Instrumentation and Measurement, the Editorial Board Member of Scientific Reports, the Guest Editor of IEEE Sensors Journal, and the regular reviewer for over 70 high-impact international journals (including Nature Communications, PNAS). He served as the track/session chair of several international conferences. He is the recipient of the 2024 IEEE J. Barry Oakes Advancement Award (For demonstrated exceptional expertise, innovation and leadership in the field of Instrumentation and Measurement), 2015 IEEE I&M Society Graduate Fellowship Award, and multiple Best Paper Awards. He is a Senior Member of IEEE, a Fellow of the Young Academy of Europe (FYAE), a Fellow of the International Society for Industrial Process Tomography (FISIPT), and a Fellow of the Higher Education Academy (FHEA).

Research group: UoE SMART Group www.yangresearchgroup.com

Press coverages:

• ERC StG: Dr Yunjie Yang awarded €1.5 million European Research Council Starting Grant | School of Engineering 
• BBC: https://www.bbc.co.uk/iplayer/episode/m001m1mr/click-medical-marvels (from 8:12)
• DDI case study: https://ddi.ac.uk/case-studies/smart-e-skin-for-soft-robotic-perception/
• STV: https://news.stv.tv/east-central/edinburgh-university-researchers-develo...
• EFE: Crean la primera "piel electrónica" para que los robots sientan (efe.com)
• The Independent: Best inventions and discoveries of 2023: From robot skin to mind-reading caps | The Independent      
• Evening Standard Podcast: https://play.acast.com/s/tech-science-daily/e-skin-boosts-robot-self-awareness
• Metro: https://metro.co.uk/2023/02/24/scientists-develop-electronic-skin-that-allows-robots-to-feel-18340234/
• The Independent: https://www.independent.co.uk/tech/robots-self-aware-ai-skin-b2288369.html

(Office: 1.13 Alexander Graham Bell (AGB) Building)

• Doctor of Philosophy (PhD), The University of Edinburgh, UK
• Master of Science (MSc) (Outstanding Graduate and Thesis), Tsinghua University, China
• Bachelor of Science (BEng) (Outstanding Graduate), Anhui University, China

• Senior Member of IEEE
• Senior Member of IEEE I&M Society
• Member of IET
• Fellow of ISIPT
• Fellow of Young Academy of Europe (FYAE)
• Fellow of Higher Education Academy (FHEA)

• Signals and Communication Systems 3 (ELEE09027)
• Digital System Laboratory 3 (ELEE09035)
• Electrical Engineering 1 Tutorial (ELEE08001)
• Supervision of PhD, MSc, MEng and BEng projects

• Soft sensors & electronics
• Robotic perception
• Tomographic imaging and applied machine learning

We welcome undergraduates, graduates, and postdocs who are interested in joining our group. Please feel free to contact us at anytime.

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.