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Onikepo Amodu

Lecturer in Computing

Employment

  • Lecturer in Computing Middlesbrough College, Middlesbrough Aug 2023 – date
  • Variable Hours Lecturer in Engineering. Stanmore College Middlesex London March 2023 – July 2023
  • IT Support Engineer Flamingo Land March 2022-October 2022
  • Cisco Technology Training Consultant, Engineering. Ajayi Polytechnic Sept 2020 – Dec 2020
  • Teaching Assistant, Engineering Federal University of Technology Akure March 2019 – Oct 2019
  • Head of IT and Engineering CCT Institute June 2014- Dec 2018 · Faculty Engineer (Technical and Training) NIIT Ltd Sept 2012 – June 2014
  • Network Support Engineer Sophia touch Technologies Nov 2011 – Aug 2012
  • Technical officer GeoQinetic Ltd Oct 2010 – Sept 2011 · Network Administrator TELIT NIGERIA LTD April 2010 – Sept 2010
  • Cisco Technology Instructor JIT training institute June 2009 – Jan 2010

Education and qualifications

  • University of Cumbria, Cumbria – Post Graduate Certificate in Education – Jan 2025- Jan 2026
  • Teesside University, Middlesbrough – Master of Science in Applied Artificial Intelligence – Sept 2021- May 2023
  • Federal University of technology, Akure – Master of Engineering in Electrical {&} Electronic engineering – Jan 2016 – Nov 2019
  • Federal University of technology, Minna – Bachelor of Engineering Electrical {&} Computer Engineering – Jan 2003 – Nov 2008

Recent and relevant teaching experience includes:

  • Level 6: Network Automation
  • Level 5: Internet of Things (IoT)
  • Level 4: Iterative project development
  • Level 3: T-level Digital Support Cyber Security, T-level Digital software development

 

Key research interests

Deep/Machine Learning, AI, Networking, Cyber Security, Automation, and Working Memory

Current research projects

  1. Formative Assessment, Feedback, and High-Quality Pedagogy in Further Education: An Investigative Case Study of T-Level Deliver
  2. Profiling Digital Risk: Linking Gaming Disorder, Personality Traits, and Learning Preferences in Post-16 Education

Areas of specialism

Networking, Artificial intelligence and Cyber Security

 

Publications

  • 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.
  • 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.
  • 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.

 

Email: o.amodu@mbro.ac.uk | onikepoamodu@gmail.com

LinkedIn: Onikepo Amodu