Dr Mahir Arzoky
Associate Lecturer (Academic Education)
Wilfrd Brown Building 218
- Email: email@example.com
- Tel: +44 (0)1895 265471
DR MAHIR ARZOKY is a Research Fellow in the College of Engineering, Design and Physical Sciences working on a research project titled Assessing The Quality Of Test Suites In Industrial Code (AQUATIC). Prior to this, he was a Research Associate in Machine Learning at the Cognitive Digital System Engineering Centre, Birmingham City University. Dr Arzoky obtained his PhD from the Department of Computer Science at Brunel University London in 2015. It was centred on applying Search Based Software Engineering and Intelligent Data Analysis techniques to a large real world software engineering dataset to model development trends and to predict changes. 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
Amer Jid Almahri, F., Bell, D. and Arzoky, M. (2019) 'Personas Design For Conversational Systems In Education'. Informatics. ISSN: 2227-9709
Shepperd, M., Guo, Y., Li, N., Arzoky, M., Capiluppi, A., Counsell, S., (2019) 'The Prevalence of Errors in Machine Learning Experiments'.20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Open Access Linket al.
Counsell, S., Arzoky, M., Destefanis, G. and Taibi, D. (2019) 'On the Relationship Between Coupling and Refactoring: An EmpiricalViewpoint'.ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Brazil. 2019. Porto de Galinhas, BR. 5 - 20 September. ACM/IEEE International Symposium on Empirical Software Engineeringand Measurement (ESEM). Brazil. 2019.Open Access Link
Yousefi, L., Swift, S., Arzoky, M., Sacchi, L., Chiovato, L. and Tucker, A. (2019) 'Opening the black box: Exploring temporal pattern of type 2 diabetes complications in patient clustering using association rules and hidden variable discovery'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 198 - 203. ISSN: 1063-7125
Counsell, S., Swift, S., Arzoky, M. and Destefanis, G. (2019) 'An empirical study of the AGIS visual field metric and its seasonal variations'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 527 - 530. ISSN: 1063-7125