Dr Mahir Arzoky
Lecturer in Computer Science
Wilfrd Brown Building 218
- Email: mahir.arzoky@brunel.ac.uk
- Tel: +44 (0)1895 265471
Summary
Dr Mahir Arzoky is a Lecturer in the Department of Computer Science at Brunel University London. Prior to this he was a Post-doctoral Research Fellow working on a research project titled Assessing the Quality of Test Suites in Industrial Code (AQUATIC - EPSRC: EP/M024083/1). He was a core member of the Fault Analyses in Industry and Academic Research Network (FIAR-NET - EPSRC: EP/N011627/1), where he promoted collaborations between industry and academic research in software engineering through a series of national and international workshops. Prior to this, he was a Research Associate in Machine Learning at the Cognitive Digital System Engineering Centre, Birmingham City University, where he worked on a collaborative Data-driven Smart City project that aimed to simplify complex decision making, informing policy and strategic service developments using unified data, and state of the art machine learning simulation and modelling. He was also part of an Innovation Engine project, part-funded by the European Regional Development Fund, that aimed at stimulating demand for new or improved services, processes and products from local SME businesses and start-up companies by bringing and helping to solve existing challenges within the Life Sciences, Digital and Creative sectors. Dr Arzoky obtained his PhD from the Department of Computer Science at Brunel University London in 2015.
His research interest lies in the areas of Artificial Intelligence, Intelligent Data Analysis, Data Mining and Software Engineering, in specific Search Based Software Engineering.
Newest selected publications
Altarawneh, A., Swift, S., Tucker, A. and Arzoky, M. (2026) 'Ontology-Enriched Abstract Topic Modelling for Biomedical Trend Discovery: A MeSH-based LDA Framework with BI Visual Analytics'.2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA). Amman, Jordan. 12 - 14 May. Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 8.Open Access Link
Altarawneh, A., Tucker, A., Swift, S. and Arzoky, M. (2026) 'Ontology-based Keyword Enriched Topic Modelling for Biomedical Research Trends: A Business Intelligence Perspective'.2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA). Amman, Jordan. 12 - 14 May. Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 8.Open Access Link
Mallah, E., Altarawneh, A., Bardees, R., Arzoky, M., Swift, S. and Mansoor, K. (2026) 'The Invisible Hand of Artificial Intelligence: Polishing Diagnosis in Personalized Medicine – A Structured Review'.2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE. pp. 1 - 8.
Mallah, E., Altarawneh, A., Omari, K., Swift, S. and Arzoky, M. (2026) 'Integrating Literature and Learning: A Graph Neural Network Framework for Herb-Drug Interaction Prediction Toward Sustainable and Clinically Informed Pharmaceutical Safety'.2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE. pp. 1 - 5.
Destefanis, G., Yousefi, L., Shepperd, M., Tucker, A., Swift, S., Counsell, S. and et al. (2026) 'An audit of machine learning experiments on software defect prediction'. Empirical Software Engineering, 31 (4). pp. 1 - 36. ISSN: 1382-3256 Open Access Link