Personal profile
Research and Innovation interests
Lecturer in Data Science, Machine Learning, and Deep Learning with 4+ years of experience in the United Kingdom and other countries. He received a PhD in Computer Science from the University of Surrey, the UK, and a BSc MSc from Cairo University, Egypt. Before joining BCU in September 2022, he had a long international career in computer science and computing research, including in the UK (University of Surrey), Egypt (Cairo University), and Saudi (Jouf University and King Abdul Azziz University).
His general research interests lie in using and developing Big Data, deep learning, data science and machine learning techniques for effective and efficient adaptive information access and mining.
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Collaborations and top research areas from the last five years
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Advanced Development of a Customer Assistance Chatbot using Multimodal Large Language Models to Enhance User Experience
Farrag, M., Elmitwally, N., Saeed, F., Mahmoud, H., Sai, C. & Boonrerng, A., 22 Jul 2025, The 4th International Conference of Advanced Computing and Informatics. (ICACIn 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study
Javidroozi, V. (Corresponding / Lead Author), Tawil, A.-R., Azad, R. M. A., Bishop, B. & Elmitwally, N. (Corresponding / Lead Author), 27 Aug 2025, In: Applied Sciences (Switzerland). 15, 17Research output: Contribution to journal › Article › peer-review
Open Access -
A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation of Visceral and Superficial Adipose Tissues Quantification of CT Scans
Adekanbi, J., Das, D., Elmitwally, N., Ali, A., Madai, V. I. & Bahadar, B., 4 Feb 2025, In: IEEE Access.Research output: Contribution to journal › Article › peer-review
Open Access -
Data and Knowledge–Driven Approach for Energy Profiling in Smart Context-Aware Buildings
Farrag, M., Feldman, G., Mahmoud, H., Elmitwally, N. & Gaber, M., 24 Nov 2025, Proceedings of the 45th SGAI International Conference on Artificial Intelligence, AI 2025 Cambridge, UK, : Artificial Intelligence XLIIAI (part 1). Bramer, M. & Stahl, F. (eds.). Springer, Vol. Part 1. p. 79-91 13 p. (Artificial Intelligence XLII - Lecture Notes in Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhanced Anomaly Detection in Wireless 5G Networks With Hybrid Learning Technique Using AWID3 Dataset
Dashitfard, N., Mahmoud, H., Idrissi, M. & Elmitwally, N., 30 Jun 2025, In: Cureus Journal of Computer Science.Research output: Contribution to journal › Article › peer-review
Open Access