Syed Shah

Dr Syed Shah

Lecturer, Networking

School of Computer Science and Information Technology

College of Engineering and Information Technology


Syed Danial Ali Shah is a Lecturer at the University of South Australia/Adelaide University. He previously worked as a Postdoctoral Research Associate (Teaching and Research) at the University of New South Wales and as a Sessional Associate Lecturer at RMIT University, Australia. He also held a Research Fellow position at the University of Leeds, UK. He earned his M.Eng. from Incheon National University, South Korea, in 2018, and his Ph.D. from RMIT University, Australia, in 2022.
His research focuses on 5G and beyond wireless networks, IoT, SDN/NFV, next-generation networks, Open radio access networks, consumer electronics, and AI/ML applications in communication and networked systems. He has published over 20 papers in top-ranked journals and conferences and actively contributes as a reviewer and guest editor for several international journals and conferences.

Year Citation
2025 Shah, S. D. A., Bashir, A. K., Al Otaibi, Y. D., Dabel, M. M., & Ali, F. (2025). Dynamic AI-Driven Network Slicing With O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics. IEEE Transactions on Consumer Electronics, 71(1), 720-733.
DOI
2025 Shah, S., Gregory, M., Dilshad, N., Alghamdi, N. S., & Ali, F. (2025). Semantic-Aware 6G Networking: an Open RAN Vision for AR/VR. IEEE Consumer Electronics Magazine, online, 1-6.
DOI
2025 Shah, S. D. A., Hafeez, M., Salama, A., & Zaidi, S. A. R. (2025). Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks. IEEE Open Journal of the Communications Society, 6, 7939-7954.
DOI
2025 Nezami, Z., Shah, S. D. A., Hafeez, M., Djemame, K., & Zaidi, S. A. R. (2025). From connectivity to autonomy: the dawn of self-evolving communication systems. Frontiers in Communications and Networks, 6(1606493), 1-8.
DOI
2024 Shah, S. D. A., Gregory, M. A., & Li, S. (2024). Toward Network-Slicing-Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility. IEEE Internet of Things Journal, 11(2), 2684-2700.
DOI
2024 Shah, S. D. A., Gregory, M. A., Bouhafs, F., & Den Hartog, F. (2024). Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks. Ieee Open Journal Of The Communications Society, 5, 2039-2057.
DOI
2022 Shah, S. D. A., Gregory, M. A., Li, S., Fontes, R. D. R., & Hou, L. (2022). SDN-Based Service Mobility Management in MEC-Enabled 5G and Beyond Vehicular Networks. IEEE Internet of Things Journal, 9(15), 13425-13442.
DOI
2021 Shah, S. D. A., Gregory, M. A., & Li, S. (2021). Cloud-native network slicing using software defined networking based multi-access edge computing: a survey. IEEE, 9, 10903-10924.
DOI
2020 Shah, S. D. A., Gregory, M. A., Li, S., & Fontes, R. D. R. (2020). SDN enhanced multi-access edge computing (MEC) for E2E mobility and QoS management. IEEE Access, 8(9078129), 77459-77469.
DOI

Courses I teach

  • INFS 5115 Security Principles (2025)
  • INFT 5021 Capstone Professional Project (2025)

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