Professional Affiliation / Membership
- Fellow of the Higher Education Academy (HEA)
- SEDA - Staff and Educational Development Association
- STEL - Supporting Technology Enhanced Learning
- External Examiner
- APA (Academic Professional Apprenticeship)
Editorial / Professional Roles
Modules taught / led
- Advanced Data Science (MSc Advanced Computer Science)
- Impact of AI (MSc Artificial Intelligence)
- Artificial Intelligence and Machine Learning (BSc Computer Science and Data Science)
- Data Visualisation (BSc Computer Science and Data Science)
Programme leadership and curriculum development
- Deputy Course Lead, MSc Artificial Intelligence
- Contributed to the development of: BSc Computer Science with Artificial Intelligence,BSc Computer and Data Science, MSc Artificial Intelligence, MSc Advanced Computer Science, AI Short Course for BCU Distance Learning, EcRoFit CPD course.
Selected Top Publications
- Ahmad, M., Abbas, S., Fatima, A., Ghazal, T. M., Alharbi, M., Khan, M. A., & Elmitwally, N. S. (2023). AI-Driven livestock identification and insurance management system. Egyptian Informatics Journal, 24(3), 100390. https://doi.org/10.1016/j.eij.2023.100390 [IF=14.255, ISI Indexed, Q1].
- Khan, A. H., Khan, M. A., Abbas, S., Siddiqui, S. Y., Saeed, M. A., Alfayad, M., & Elmitwally, N. S. (2021). Simulation, modeling, and optimization of intelligent kidney disease predication empowered with computational intelligence approaches. Computers, Materials & Continua, 67(2), 1399–1412. https://doi.org/10.32604/cmc.2021.012737 [IF= 4.89, ISI Indexed, Q1].
- Aftab, S., Saad, A., Ahmad, M., Khan, M. A., Fatima, A., and Elmitwally, N. S. (2021). Cloud-based diabetes decision support system using machine learning fusion. Computers, Materials & Continua, 68(1), 1341–1357. https://doi.org/10.32604/cmc.2021.016814 (Impact Factor 4.89, ISI Indexed, Q1)
- Aftab, S., Saad, A., Ahmad, M., Khan, M. A., Fatima, A., and Elmitwally, N. S. (2021). Cloud-based diabetes decision support system using machine learning fusion. Computers, Materials & Continua, 68(1), 1341–1357. https://doi.org/10.32604/cmc.2021.016814 (Impact Factor 4.89, ISI Indexed, Q1)
Complete list:
https://scholar.google.co.uk/citations?user=-22U0A4AAAAJ&hl=en&authuser=1
- Sabry, N., & Krause, P. (2012a). A digital ecosystem view on cloud computing. 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST), 1–6. https://doi.org/10.1109/DEST.2012.6227905
- Sabry, N., & Krause, P. (2012b). Potential CO₂ mitigation in digital ecosystems. 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST), 1–6. https://doi.org/10.1109/DEST.2012.6227916
- Sabry, N., & Krause, P. (2013). Optimal green virtual machine migration model. International Journal of Business Data Communications and Networking, 9(3), 35–52. https://doi.org/10.4018/jbdcn.2013070103
- Alsayat, A., & Elmitwally, N. (2020). A comprehensive study for Arabic sentiment analysis (challenges and applications). Egyptian Informatics Journal, 21(1), 7–12. https://doi.org/10.1016/j.eij.2019.06.001
- Elmitwally, N. S. (2020). Building a multi-class XGBoost model for Arabic figurative language. 2020 2nd International Conference on Computer and Information Sciences (ICCIS), 1–4. https://doi.org/10.1109/ICCIS49240.2020.9257669
- Elmitwally, N. S., & Alanazi, S. (2020). Arabic corpus for figurative sentiment analysis. International Journal of Advanced Science and Technology, 29(3)
- Elmitwally, N. S., & Alsayat, A. (2020). The multi-class classification for the first six Surats of the Holy Quran. International Journal of Advanced Computer Science and Applications, 11(1). https://doi.org/10.14569/IJACSA.2020.0110141
- Ibrahim, M., Aftab, S., Ahmad, M., Iqbal, A., Shoaib, B., Iqbal, M., Najim, B., & Sabri, N. (2020). Presenting and evaluating scaled extreme programming process model. International Journal of Advanced Computer Science and Applications, 11(11). https://doi.org/10.14569/IJACSA.2020.0111121
- Aftab, S., Alanazi, S., Ahmad, M., Adnan Khan, M., Fatima, A., & Sabri Elmitwally, N. (2021). Cloud-based diabetes decision support system using machine learning fusion. Computers, Materials & Continua, 68(1), 1341–1357. https://doi.org/10.32604/cmc.2021.016814
- Ahmad, M., Alfayad, M., Aftab, S., Adnan Khan, M., Fatima, A., Shoaib, B., Sh. Daoud, M., & Sabri Elmitwally, N. (2021). Data and machine learning fusion architecture for cardiovascular disease prediction. Computers, Materials & Continua, 69(2), 2717–2731. https://doi.org/10.32604/cmc.2021.019013
Dr Nouh has built substantial experience in working with industry through a combination of funded collaborations, Knowledge Transfer Partnerships, professional training, and applied AI development. His industry-facing portfolio includes partnerships with organisations such as METCLOUD, NHS, Microsoft, Cognizant, Birmingham City Council, Mindset Associates, Meer Labs, Liaison Group, and DPC. In these roles, he has contributed to projects that connect academic research with practical business and societal needs, particularly in artificial intelligence, machine learning, digital inclusion, and skills development.
A key example is his role as KB Academic Supervisor for the UKRI-funded KTP with METCLOUD, where he helped lead a 27-month project to develop an AI- and machine-learning-driven multimodal support system for technical and cybersecurity queries. His work involved shaping the strategic vision, guiding system development, supervising the KTP Associate, and ensuring effective collaboration between the university and industry partner. He has also contributed to ChainAI as Co-Investigator, supporting the development of GenAI and LLM-based tools for smarter supply chain workflows, and to EcRoFit through CPD leadership that produced training materials with impact across more than 70 SMEs. More broadly, his industry engagement reflects a strong ability to translate research into practice, build productive partnerships, and deliver innovation with real-world value.
