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Adel Shaban

Lecturer in Networking and Cyber Security

Employment

  • 2022-08-20 to present | Lecturer in Networking and Cyber Security (Computing) at Middlesbrough College, University Centre Middlesbrough.
  • 2022-01-15 to 2022-06-01 | Part time Lecturer (Computer Science) at Teesside University.
  • 2018-09-28 to 2022-02-06 | PhD student (Computer Science) at Teesside University.
  • 2016-02 to 2018-02 | Visiting Researcher (Computer Science & Information Systems) at Teesside University.
  • 2009-01 to 2016-02-25 | Assistant Lecturer (Faculty of Education, instructional technology department ) at Fayoum University, Egypt.

Education and qualifications

  • Fellowship(PR290876), Advance HE: York, England, GB. From 2025-01-01 to 2025-10-07
  • Doctorate of Computer Science ( Computing and Games), Teesside University School of Computing Engineering and Digital Technologies: Middlesbrough, GB. From 2018-10-01 to 2022-01-06
  • Master in Education (Faculty of Education, instructional technology department ).From 2009-09 to 2012-10, Fayoum University, Egypt.
  • B.Sc. in Science and Education (Mathematics and computer science ). From 2003-09 to 2007, Fayoum University, Egypt.

My recent and relevant teaching experience includes:

  • Level 6: Ethical Hacking, Network Security, Data Science, Dissertation Supervision
  • Level 5: Cyber Security & Digital Forensics, Transport Network Design, Emerging Technologies Projects
  • Level 4: Network Fundamentals, Professional Practice, Security, and Computer Systems and architecture.
  • Level 3 Access to higher Diploma: Cyber Security, Computer installation and maintenance, Computer systems and infrastructure, and thrive.

 

Key research interests

User Experience, Gamification, Machine Learning, Intrusion Detection, Networking, AI, Cyber Security, Automation, and Working Memory

Current Research Projects

  • The Use of AI as a Development Tool in Concept Art for Games
  • Formative Assessment, Feedback, and High-Quality Pedagogy in Further Education: An Investigative Case Study of T-Level Delivery
  • Profiling Digital Risk: Linking Gaming Disorder, Personality Traits, and Learning Preferences in Post-16 Education

Areas of specialism

Networking and Cyber Security

 

Publications

  • Amodu, O., Shaban, A. and Akinade, G. (2024). Revolutionizing Vehicle Damage Inspection: A Deep Learning Approach for Automated Detection and Classification. Proceedings of the 9th International Conference on Internet of Things, Big Data and Security, pp.199–208. doi:https://doi.org/10.5220/0012630700003705.
  • Amodu, O.D., Lottu, O., Imran, R. and Shaban, A. (2025). Automated Vehicle Damage Inspection: A Comprehensive Evaluation of Deep Learning Models and Real-World Applicability. SN Computer Science, 6(5). doi:https://doi.org/10.1007/s42979-025-04034-w.
  • Golightly, L., Wnuk, K., Shanmugan, N., Shaban, A., Longstaff, J. and Chang, V. (2022). Towards a Working Conceptual Framework: Cyber Law for Data Privacy and Information Security Management for the Industrial Internet of Things Application Domain. [online] IEEE Xplore. doi:https://doi.org/10.1109/IIoTBDSC57192.2022.00027.
  • Pearson, E. and Shaban, A. (2019). Evaluation of a Prototype Interactive Working Memory Application for Children with Learning Disabilities. doi:https://doi.org/10.1145/3315002.3332440.
  • Shaban, A. (2022). DEVELOPING A USER-CENTRED COGNITIVE APPLICATION TO IMPROVE WORKING MEMORY FOR CHILDREN WITH LEARNING DIFFICULTIES. PhD Dissertation or Thesis.
  • Shaban, A., Chang, V., Amodu, O.D., Attia, M.R. and Abdelhamid, G.S.M. (2024). A Systematic Review of Working Memory Applications for Children with Learning Difficulties: Transfer Outcomes and Design Principles. Education Sciences, [online] 14(11), p.1260. doi:https://doi.org/10.3390/educsci14111260.
  • Shaban, A., Chang, V. and Bingham, A. (2021). Development and Evaluation of a Cognitive Training Application for Children With Learning Difficulties. Journal of Global Information Management, 29(6), pp.1–21. doi:https://doi.org/10.4018/jgim.20211101.oa47.
  • Shaban, A. and Pearson, E. (2019). A Learning Design Framework to Support Children with Learning Disabilities Incorporating Gamification Techniques. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. doi:https://doi.org/10.1145/3290607.3312806.
  • Shaban, A. and Pearson, E. (2020). Evaluation of user experience and cognitive load of a gamified cognitive training application for children with learning disabilities. Proceedings of the 17th International Web for All Conference. doi:https://doi.org/10.1145/3371300.3383341.
  • Shaban, A., Pearson, E. and Chang, V. (2021). Evaluation of User Experience, Cognitive Load, and Training Performance of a Gamified Cognitive Training Application for Children With Learning Disabilities. Frontiers in Computer Science, 3. doi:https://doi.org/10.3389/fcomp.2021.617056.

 

Email: as.shaban@mbro.ac.uk | adelfram@gmail.com

ORCHID: Adel Shaban