Dr Ali Al-Sherbaz

Biography

I am the Academic Director for Digital Skills courses (Data Science, AI, Cyber Security), with expertise in mobile and network security. I have published over 80 peer-reviewed papers, including an award-winning conference paper and a journal paper published as a patent. With 25+ years in teaching and learning, I have supervised over 15 PhD students and served as an external examiner and review panellist for several UK universities.

My research focuses on cybersecurity, mobile communications, and network security, with interest in 5G, AI, Blockchain, and Data Science. I have helped establish a Blockchain Lab and secured funding for PhD students. I promote research culture, support grant applications, and collaborate widely.

I hold a PhD from the University of Buckingham and have a background in Computing. I have led research teams, developed UG/PG courses, and worked on consultancy projects. At the University of Gloucestershire, I provided strategic leadership by positioning the Cyber Security and Digital Innovation Centre as a business-facing unit and fostering industry partnerships. I contributed to key institutional achievements, including Ofsted and NCSC accreditation.

I am a people-focused academic leader committed to student success, retention, and progression. I am experienced in change management, team development, and creating inclusive learning environments. I actively participate in national and international events to advance education and research.

Research topics

I have an extensive research portfolio in cybersecurity, AI, ML, wireless communication, IoT, and network security. I have led high-impact research on SDN, 5G/LPWAN, M2M, vehicular communication, and applied AI in cybersecurity and network optimisation. My outputs include peer-reviewed publications, authored books, and a UK patent on wireless mesh routing. As a PhD supervisor, I have guided over 20 doctoral students in areas including AI for threat detection and secure communications. I am a reviewer for international journals and a member of IEEE, IET, and BCS. My academic leadership has supported curriculum innovation in AI and data science, aligned with industry and national priorities. I co-founded the Institute of Cybersecurity and Digital Innovation and contributed to REF-recognised research. My scholarship integrates applied technologies and strategic foresight to solve complex real-world challenges.

Publications

Journal articles

Enhancing Map Matching Accuracy Using Backtracking Technique H Alkhazraji, T Kanakis, A Al-Sherbaz, WS Bhaya, MO Agyeman International Journal of Applied Earth Observation and Geoinformation, 2024
A Development of an IoT-Based Healthcare System Using Distributed Blockchain Technology R Mohammed, R Alubady, A Al-Sherbaz Iraqi Journal of Science, 5295-5313, 2024
Management and Evaluation of the Performance of end-to-end 5G Inter/Intra Slicing using Machine Learning in a Sustainable Environment NA Mohammedali, T Kanakis, A Al-Sherbaz, M Opoku Agyeman Journal of communications software and systems 19 (1), 91-102, 2023
Al Jameel, Mohammed, Kanakis, Triantafyllos, Turner, Scott, Al-Sherbaz, Ali and Bhaya, Wesam S (2022) A Reinforcement Learning-Based Routing for Real-Time Multimedia Traffic Transmission over Software-Defined Networking. Electronics, 11 (15). doi:10.3390/electronics11152441, 2022
Al-Mashhadani, Ahmed Osama Basil, Mu, Mu and Al-Sherbaz, Ali (2022) Quality of Experience Experimentation Prediction Framework through Programmable Network Management. Network, 2 (4). pp. 500-518. doi:10.3390/network2040030, 2022
Kanakis, T, Mohammedali, N A, Opoku Agyeman, M and Al-Sherbaz, Ali (2021) A Survey of Mobility Management as a Service in Real-Time Inter/Intra Slice Control. IEEE Access, 9. pp. 62533-62552. doi:10.1109/ACCESS.2021.3074024, 2021
Azasoo, J. Q., Kanakis, T., Agyeman, M. O. and Al-Sherbaz, Ali (2020) Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems. IEEE Access, 8. pp. 13294-13304. doi:10.1109/ACCESS.2020.2965819, 2020

Conference papers