BSc, PhD (Buckingham)
Dr Ibrahim holds a BSc in Computing and a PhD in Computing both from The University of Buckingham. Prior to joining the School of Computing as a lecturer, he was a visiting lecturer and Research Associate. Dr Ibrahim has worked on numerous projects including remote sensing and land mine surveying and biomedical image analysis in Ten-D Innovations Research and Development (R&D) Centre. He teaches and supervises undergraduate and postgraduate modules and projects.
Teaching Experience
- Academic Skills for Computing.
- Skills and Professional Development.
- Problem Solving and Programming.
- Human Computer Interaction.
- Mobile Application Development.
- Scripting for Data Analysis.
Research Interests
- Behaviour Biometrics.
- Multi-Factor Authentication.
- Computer Vision.
- Machine Learning.
Selected Publications
- S. Divya, A. Ali, N. Ibrahim and L. Padma Suresh, “Automated Models for the Classification of Magnetic Resonance Brain Tumour Images,” 2023 28th International Conference on Automation and Computing (ICAC), Birmingham, United Kingdom, 2023, pp. 1-6, doi: 10.1109/ICAC57885.2023.10275235. URL: Automated Models for the Classification of Magnetic Resonance Brain Tumour Images | IEEE Conference Publication | IEEE Xplore
- N. Ibrahim, S. Fahs, and A. AlZoubi “Land cover analysis using satellite imagery for humanitarian mine action and ERW survey”, Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021.
- N. Ibrahim and H. Sellahewa, ” Android Pattern Unlock Authentication – effectiveness of local and global dynamic features,” 18th International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, 2019, pp. 1-8.
- H. Sellahewa, N. Ibrahim & S. Zeadally, “Biometric Authentication for Wearables”, accepted for publication in M.S. Obaidat, I. Traore & I. Woungang (eds), Biometric-based Security Systems: State of the Art and Perspectives, to be published by Cambridge University Press in Winter 2018.
- N. Ibrahim and H. Sellahewa, “Touch gesture-based authentication: A security analysis of Pattern Unlock,” 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), New Delhi, 2017, pp. 1-8.