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
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
Altarawneh, A., Arzoky, M., Swift, S., Al Fayez, RQ., Al-Zoubi, MB., Sowan, B. and et al. (2025) 'ETM-F: an enriched topic modeling and filtration framework integrating ontologies and deep learning for biomedical trend analysis'. Knowledge and Information Systems, 68 (1). pp. 1 - 48. ISSN: 0219-1377
Counsell, S., Swift, S., Arzoky, M., Hall, T., Winter, E., Bennett, G. and et al. (2024) 'Different Strokes for Different Folks: A Comparison of Developer and Tester Views on Testing'.SEAA 2024: 50th Euromicro Conference Series on Software Engineering and Advanced Applications. Paris, France. 28 - 30 August. IEEE. pp. 210 - 213. ISSN: 2640-592X
Marshan, A., Almutairi, AN., Ioannou, A., Bell, D., Monaghan, A. and Arzoky, M. (2024) 'MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain'. Frontiers in Big Data, 7. pp. 1 - 20. ISSN: 2624-909X Open Access Link
Maramazi, F., Odebode, A., Mann, A., Swift, S. and Arzoky, M. (2024) 'How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis'.Intelligent Systems Conference (IntelliSys) 2023. Amsterdam, NL. 19 - 8 September. Springer Nature Switzerland. pp. 169 - 189. ISSN: 2367-3370