Dr Mahir Arzoky
Lecturer in Computer Science
Wilfrd Brown Building 218
- Email: email@example.com
- Tel: +44 (0)1895 265471
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.
He part of the local organising commitee of SMSE (SEAA 2018), FIAREX (XP 2018), FIAR-NET 2018, IDA 2017, FIAR-NET 2017, DISC 2016, EASE 2014, IDA 2013. Dr Arzoky serves on the following program commitees SMSE (SEAA/DSS), CBMS, WETSEB, IDA, ISCC (ICTS4eHealth), and a reviewer for ITIIS, IET, IBS and The Computer journal.
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
Nagaria, B., Evans, BC., Mann, A. and Arzoky, M. (2021) 'Using an Instant Visual and Text Based Feedback_Tool to Teach Path Finding Algorithms A Concept'.SEENG 2021 Third International Workshop on Software Engineering Education for the Next Generation. Virtual. 1 - 24 May. IEEE. pp. 11 - 15.Open Access Link
Counsell, S., Destefanis, G., Swift, S., Arzoky, M. and Taibi, D. (2020) 'On the Link between Refactoring Activity and Class Cohesion through the Prism of Two Cohesion-Based Metrics'.2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS). Macau, PEOPLES R CHINA. 1 - 14 December. IEEE. pp. 91 - 98.
Capiluppi, A., Ajienka, N., Ali, N., Arzoky, M., Counsell, S., Destefanis, G., (2020) 'Using the Lexicon from Source Code to Determine Application Domains'.International Conference on Evaluation and Assessment in Software Engineering. Trondheim, Norway. 17 - 17 April. ACM. pp. 110 - 119.Open Access Linket al.
Yousefi, L., Swift, S., Arzoky, M., Saachi, L., Chiovato, L. and Tucker, A. (2020) 'Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules'. Computational Intelligence, 0 ((in press)). ISSN: 0824-7935 Open Access Link
Counsell, S., Swift, S., Arzoky, M. and Destefanis, G. (2020) 'Is complexity of re-test a reason why some refactorings are buggy? an empirical perspective'. Springer International Publishing. pp. 83 - 90. ISSN: 1865-0929