Dr Burak Kizilkaya

  • Lecturer in Computer Networking (Computing Science)

Biography

I am currently a Lecturer in Computer Networking within the School of Computing Science. I hold a PhD in Electrical and Electronics Engineering from the University of Glasgow (2023) with a doctoral research on "Task-Oriented Joint Design of Communication and Computing for Internet of Skills", focused on 5G-based teleoperation systems, integrating communication, networking, and robotic control, where I developed real-time AI-enhanced teleoperation frameworks. My academic background also includes a BSc and MSc in Computer Engineering, where I explored energy-efficient networking and edge inference for emergency applications.

Prior to my current role, I was a Research Associate at the Communications, Sensing and Imaging Hub within the James Watt School of Engineering, University of Glasgow. My work focused on research and commercialisation projects in AI-enhanced networked systems, predictive control for teleoperation, modular robotics, VR/AR immersive applications, and resilient real-time communication architectures.

Research interests

My research focuses on the intersection of robotics, next generation communications & networking, and immersive technologies, with a strong emphasis on real-world applications. I am particularly interested in:

  • Telerobotics and Autonomous Systems: Developing low-latency, resilient teleoperation frameworks and autonomous robotic systems, especially for complex environments such as nuclear sites and healthcare applications.
  • Wireless Communications for Control Systems: Designing and optimizing 5G/6G-enabled wireless control mechanisms, with special attention to real-time feedback, haptic communications, and Age of Information for life-critical systems.
  • Cybersecurity in Human-Robot Interaction: Investigating vulnerabilities and adversarial attacks in biometric and keystroke-dynamics-based user authentication systems, particularly in robotic and IoT-enabled environments.
  • Smart Cities and IoT Applications: Integrating virtual power plants, sensor networks, and intelligent infrastructure to enhance urban sustainability and energy efficiency.

Publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020
Number of items: 13.

2025

Sawilam, M., Kizilkaya, B. , Taha, A. , Flynn, D. , Imran, M. A. and Ansari, S. (2025) Impact of virtual power plants on grid stability and renewable energy integration in smart cities Using IoT. Energy Reports, 13, pp. 3312-3323. (doi: 10.1016/j.egyr.2025.02.048)

Yu, R., Kizilkaya, B. , Meng, Z., Li, E. and Zhao, P. (2025) Robot adversarial attack on keystroke dynamics based user authentication system. IEEE Robotics and Automation Letters, 10(5), pp. 4850-4857. (doi: 10.1109/LRA.2025.3550727)

Aljohani, K., Kizilkaya, B. , Hussain, S. , Abbasi, Q. H. , Imran, M. A. and Ansari, S. (2025) A Comparative Analysis of 5G and WiFi6 for VR Immersive Education. In: 11th International Conference on Virtual Reality (ICVR 2025), Wageningen, Netherlands, 09-11 Jul 2025, (Accepted for Publication)

2024

Yu, L., Kizilkaya, B. , Qi, L., Yao, G., Ansari, S. , Olaoluwa, P., Imran, M. A. and Ahmad, W. (2024) Beyond the Classroom: A Systematic Review of Revolutionizing Education with Immersive Virtual Reality. In: 2024 IEEE Conference on Telepresence, Pasadena, CA, USA, 16-17 Nov 2024, (Accepted for Publication)

Kizilkaya, B. , She, C., Zhao, G. and Imran, M. A. (2024) Intelligent Mode-switching Framework for Teleoperation. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024, ISBN 9798350384574 (doi: 10.1109/ICRA57147.2024.10611333)

2023

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

2022

Kizilkaya, B. , Khirakova, E., Cooper, E., Olusholaq, O., Zhao, G. , Wessels, B. , Challinor, J. and Imran, M. A. (2022) Robotics-in-Care: Capabilities, Challenges, and Opportunities. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 Oct 2022.

Kizilkaya, B. , Ever, E., Yatbaz, H. Y. and Yazici, A. (2022) An effective forest fire detection framework using heterogeneous wireless multimedia sensor networks. ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2), 47. (doi: 10.1145/3473037)

2021

Kizilkaya, B. , Chang, B., Ansari, S. , Sambo, Y. , Zhao, G. and Imran, M. (2021) Age of Control Process for Real-Time Wireless Control. 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2021): Special Session: Communication and Networking Algorithms for Cyber-Physical System in Industry 4.0, Helsinki, Finland, 13-16 Sept 2021. ISBN 9781728175867 (doi: 10.1109/PIMRC50174.2021.9569528)

Chang, B., Kizilkaya, B. , Li, L. , Zhao, G. , Chen, Z. and Imran, M. A. (2021) Effective age of information in real-time wireless feedback control systems. Science China Information Sciences, 64(2), 120303. (doi: 10.1007/s11432-020-3090-5)

Kizilkaya, B. , Meng, Z., Zhao, G. , Li, L. and Imran, M. A. (2021) Towards 5G-Enabled Education: Remote Laboratory and Training Prototype. In: 4th UK-RAS Conference “Robotics at Home” Proceedings, 02 Jun 2021, pp. 53-54. (doi: 10.31256/Px3Rq7M)

Kizilkaya, B. , Zhao, G. , Sambo, Y. A. , Li, L. and Imran, M. A. (2021) 5G-enabled education 4.0: enabling technologies, challenges, and solutions. IEEE Access, 9, pp. 166962-166969. (doi: 10.1109/ACCESS.2021.3136361)

2020

Kizilkaya, B. , Chang, B., Zhao, G. and Imran, M. A. (2020) Wireless control for life-critical actions. In: Imran, Muhammad Ali, Ghannam, Rami and Abbasi, Qammer H. (eds.) Engineering and Technology for Healthcare. Wiley-IEEE: Hoboken, NJ, pp. 153-167. ISBN 9781119644248 (doi: 10.1002/9781119644316.ch8)

This list was generated on Mon May 12 23:41:31 2025 BST.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 13.

Articles

Sawilam, M., Kizilkaya, B. , Taha, A. , Flynn, D. , Imran, M. A. and Ansari, S. (2025) Impact of virtual power plants on grid stability and renewable energy integration in smart cities Using IoT. Energy Reports, 13, pp. 3312-3323. (doi: 10.1016/j.egyr.2025.02.048)

Yu, R., Kizilkaya, B. , Meng, Z., Li, E. and Zhao, P. (2025) Robot adversarial attack on keystroke dynamics based user authentication system. IEEE Robotics and Automation Letters, 10(5), pp. 4850-4857. (doi: 10.1109/LRA.2025.3550727)

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

Kizilkaya, B. , Ever, E., Yatbaz, H. Y. and Yazici, A. (2022) An effective forest fire detection framework using heterogeneous wireless multimedia sensor networks. ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2), 47. (doi: 10.1145/3473037)

Chang, B., Kizilkaya, B. , Li, L. , Zhao, G. , Chen, Z. and Imran, M. A. (2021) Effective age of information in real-time wireless feedback control systems. Science China Information Sciences, 64(2), 120303. (doi: 10.1007/s11432-020-3090-5)

Kizilkaya, B. , Zhao, G. , Sambo, Y. A. , Li, L. and Imran, M. A. (2021) 5G-enabled education 4.0: enabling technologies, challenges, and solutions. IEEE Access, 9, pp. 166962-166969. (doi: 10.1109/ACCESS.2021.3136361)

Book Sections

Kizilkaya, B. , Chang, B., Zhao, G. and Imran, M. A. (2020) Wireless control for life-critical actions. In: Imran, Muhammad Ali, Ghannam, Rami and Abbasi, Qammer H. (eds.) Engineering and Technology for Healthcare. Wiley-IEEE: Hoboken, NJ, pp. 153-167. ISBN 9781119644248 (doi: 10.1002/9781119644316.ch8)

Conference or Workshop Item

Kizilkaya, B. , Khirakova, E., Cooper, E., Olusholaq, O., Zhao, G. , Wessels, B. , Challinor, J. and Imran, M. A. (2022) Robotics-in-Care: Capabilities, Challenges, and Opportunities. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 Oct 2022.

Kizilkaya, B. , Chang, B., Ansari, S. , Sambo, Y. , Zhao, G. and Imran, M. (2021) Age of Control Process for Real-Time Wireless Control. 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2021): Special Session: Communication and Networking Algorithms for Cyber-Physical System in Industry 4.0, Helsinki, Finland, 13-16 Sept 2021. ISBN 9781728175867 (doi: 10.1109/PIMRC50174.2021.9569528)

Conference Proceedings

Aljohani, K., Kizilkaya, B. , Hussain, S. , Abbasi, Q. H. , Imran, M. A. and Ansari, S. (2025) A Comparative Analysis of 5G and WiFi6 for VR Immersive Education. In: 11th International Conference on Virtual Reality (ICVR 2025), Wageningen, Netherlands, 09-11 Jul 2025, (Accepted for Publication)

Yu, L., Kizilkaya, B. , Qi, L., Yao, G., Ansari, S. , Olaoluwa, P., Imran, M. A. and Ahmad, W. (2024) Beyond the Classroom: A Systematic Review of Revolutionizing Education with Immersive Virtual Reality. In: 2024 IEEE Conference on Telepresence, Pasadena, CA, USA, 16-17 Nov 2024, (Accepted for Publication)

Kizilkaya, B. , She, C., Zhao, G. and Imran, M. A. (2024) Intelligent Mode-switching Framework for Teleoperation. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024, ISBN 9798350384574 (doi: 10.1109/ICRA57147.2024.10611333)

Kizilkaya, B. , Meng, Z., Zhao, G. , Li, L. and Imran, M. A. (2021) Towards 5G-Enabled Education: Remote Laboratory and Training Prototype. In: 4th UK-RAS Conference “Robotics at Home” Proceedings, 02 Jun 2021, pp. 53-54. (doi: 10.31256/Px3Rq7M)

This list was generated on Mon May 12 23:41:31 2025 BST.

Supervision

I am actively looking for highly motivated and curious PhD students. If you are passionate about robotics, immersive technologies, next generation communications & networking systems, or smart and secure cyber-physical infrastructures, I encourage you to reach out with your CV. My research tackles interdisciplinary challenges that sit at the cutting edge of telerobotics, real-time communication & networking systems, and IoT-enabled smart cities. You will have the opportunity to work on impactful, real-world problems. A strong background in computer and electrical engineering, computer science, or a related field is preferred, and experience in programming, systems design, and applied AI is a plus.

Please check current funding opportunities and studentship information.