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Group Members


Professor Steve Counsell Professor Steve Counsell
Steve Counsell is a Professor in the Department of Computer Science at Brunel University London. He received his PhD from Birkbeck, University of London in 2002. Before joining Brunel University London, he was a Lecturer in the Department of Computer Science at Birkbeck and prior to his PhD was a developer in industry. Professor Counsell is a Fellow of the British Computer Society. Professor Counsell’s research interests are in the areas of empirical software engineering, software fault-analyses, refactoring, software metrics, the agile methodology, industry perspectives on software engineering problems and the role of research impact. Much of his research involves collaboration with industry and helping to understand the problems that industry developers and project managers face. CS1701 Level 1 Group Project: Module Leader and Tutor. CS1005 Level 1 Logic and Computation: Team teaching role. CS2555 Level 2 Placement: Tutor.CS307x Level 3 Final Year Project: Supervisor and Second Reader.
Dr Nour Ali Dr Nour Ali
Senior Lecturer
Dr Nour Ali is a Senior Lecturer in the Department of Computer Science at Brunel University London since June 2017. She currently co-heads the Brunel Software Engineering Lab ( and is the Director of Undergraduate Placements, She received her PhD in Software Engineering from Universidad Politecnica de Valencia – Spain and has a Major in Computer Science from Bir-Zeit University- Palestine. Before moving to Brunel, she was a Principal Lecturer in Software Engineering at University of Brighton and held research fellowships at Lero, the Irish Software Engineering Research Centre and the Politecnico di Milano. She also has been a visiting researcher at Leicester University and Free University of Bolzen. She has been Principal Investigator and member of several research and knowledge transfer projects. Her research focuses on developing software architecture techniques, methods and tools and applying them to different challenging systems and situations such as distributed, mobile and adaptive. She has over 70 publications in journals, books and conferences. Here are links to her publications on dblp and google scholar . She also is a reviewer for top journals and national funding bodies such as EPSRC. She serves in several Programme and Organization Committees of conferences and workshops in her area and has co-edited 4 books. Dr Ali has experience of Higher Education teaching, from undergraduate to MSc level. She has a PG Certificate in Teaching and Learning in Higher Education from the University of Brighton. She is also Fellow of the Higher Education Academy (HEA). Module Leader: CS3100 Software Project Management Other Modules: CS1005 Computation and Logic, Group Project Level 1 CS307x Level 3 Final Year Project.
Professor Martin Shepperd Professor Martin Shepperd
Professor - Software Tech & Modelling
Martin Shepperd received a PhD in computer science from the Open University in 1991 for his work in measurement theory, many sorted algebras and their application to empirical software engineering. He was seconded to the Parliamentary Office of Science & Technology. Presently he is Head of Department and holds the chair of Software Technology and Modelling at Brunel University London, UK. He has published more than 150 refereed papers and three books in the areas of software engineering and machine learning. He is a fellow of the British Computer Society. Previously Martin has worked as a software developer for HSBC. Introductory data science (CS5702 Modern Data) to the MSc students and Research methods to the doctoral students (CS5767).
Dr Stephen Swift Dr Stephen Swift
Dr. Stephen Swift is a Research Lecturer in the School of Information Systems, Computing and Mathematics at Brunel University London. He received a B.Sc. degree in Mathematics and Computing from the University of Kent, Canterbury, U.K., an M.Sc. in Artificial Intelligence from Cranfield University, Cranfield, U.K. and a Ph.D. degree in Intelligent Data Analysis from Birkbeck College, University of London, London, U.K. He has four years post-doctoral research experience on an EPSRC funded project entitled “Modelling Short Multivariate Time Series” (involving Moorfields Eye Hospital) GR/M94120) and a BBSRC funded project entitled “Analysing Virus Gene Expression Data to understand Regulatory Interactions” (BIO14300) in collaboration with the Departments of Virology and Biochemistry at University College London and the School of Computer Science and Information Systems, Birkbeck College. He has also spent four years in industry as a web designer, programmer and technical architect.
Dr Giuseppe Destefanis Dr Giuseppe Destefanis
Senior Lecturer in Computer Science
I am a Senior Lecturer (Associate Professor) in the Department of Computer Science at Brunel University. I have previously held the position of Senior Lecturer in the School of Computer Science at the University of Hertfordshire, and have also served as a postdoctoral Researcher at Brunel University and the Computer Research Institute of Montreal in Canada. During my PhD studies, I had the opportunity to visit the University of Auckland in New Zealand and the Hong Kong University of Science and Technology, and I have also been an instructor of computer science courses at the University of Cagliari. My main area of research is Empirical Software Engineering (ESE), with a focus on improving software quality and the overall software developer experience. I am a core member of the Brunel Software Engineering Laboratory (BSEL) and a member of the Intelligent Data Analysis (IDA) group. My research involves investigating software repositories to gain insights into the development process using data (both source code and any other information written by developers) generated during the software development process. Specifically, I use source code to generate metrics and detect development patterns to improve bug-prediction models, and comments written by developers to understand the human aspects of software engineering and improve teams' productivity and the overall quality of the software development process. In 2016, I entered the Blockchain and Cryptocurrency sector, working to bridge the gap between Blockchain application development and Software Engineering. I advocate for the need of Blockchain Oriented Software Engineering (BOSE) and have submitted 20 patents in collaboration with several companies. I have also published an edited book titled “Blockchain and Web 3.0 Social, Economic, and Technological Challenges” which was awarded “Outstanding Academic Title by CHOICE”. In a paper published in January 2021 in the Journal of System and Software, I was listed among the Top ten blockchain authors for Software Engineering, recognizing my work as a world leader in the field (Vacca, A., Di Sorbo, A., Visaggio, C.A. and Canfora, G., 2020. A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges).
Dr Rumyana Neykova Dr Rumyana Neykova
Senior Lecturer in Computer Science
Dr Rumyana Neykova is a lecturer at Brunel University London. She has a PhD from Imperial College London where she was also a fellow and a research associate. Her PhD focuses on development and applications of a type theory (called session types) for runtime verification of concurrent and distributed systems. Her body of work builds on the foundations of concurrency theory and type systems to offer practical, yet rigorous, verification techniques for distributed systems. She utilises type systems, formal methods, model checkers, compiling techniques, and code generation to help prevent communication faults (such as deadlocks and communication mismatches), increase software reliability, improve performance, assist the software development process, and enhance software understanding. I am teaching on the following modules: Year 1: CS1005 Logic and Computation Year 2: CS2002 Software Developement and Management Year 3: CS3001 Advanced Topics in Computer Science I am supervising Final Year Undergraduate Project, as well as MSc Dissertations Teaching and Industry: I am advisor on Brunel Talent Marketplace, where I am supervising projects between students and Industry.
Dr Mahir Arzoky Dr Mahir Arzoky
Lecturer in Computer Science
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. Artificial Intelligence, Intelligent Data Analysis, Heuristic Search, Search Based Software Engineering, Clustering, Refactoring
Dr Allan Tucker Dr Allan Tucker
Allan Tucker is Reader in the Department of Computer Science where he heads the Intelligent Data Analysis Group consisting of 17 academic staff, 15 PhD students and 4 post-docs. He has been researching Artificial Intelligence and Data Analytics for 21 years and has published 120 peer-reviewed journal and conference papers on data modelling and analysis. His research work includes long-term projects with Moorfields Eye Hospital where he has been developing pseudo-time models of eye disease (EPSRC - £320k) and with DEFRA on modelling fish population dynamics using state space and Bayesian techniques (NERC - £80k). Currently, he has projects with Google, the University of Pavia Italy, the Royal Free Hospital, UCL, Zoological Society of London and the Royal Botanical Gardens at Kew. He is academic lead on an Innovate UK, Regulators’ Pioneer Fund (£740k) with the Medical and Health Regulatory Authority on benchmarking AI apps for the NHS. He serves regularly on the PC of the top AI conferences (including IJCAI, AAAI, and ECML) and is on the editorial board for the Journal of Biomedical Informatics and Medical Informatics and Decision Making. He is hosting a special track on "Explainable AI" at the IEEE conference on Computer Based Medical Systems in 2019. He has been widely consulted on the ethical and practical implications of AI in health and medical research by the NHS, and the use of machine learning for modelling fisheries data by numerous government thinktanks and academia. I have designed and led the following modules: Business Intelligence (MSc) - at Brunel (~150 students) and NITH, Oslo (~30 students) for 1 year. Machine Learning (MSc) - at Brunel (~10 students) for 3 years. Logic and Computation (Level 1) - at Brunel (~200 students) for 4 years. Artificial Intelligence option (level 3) - at Brunel (~200 students) for 4 years. High Performance Computational Infrastructures (MSc) - at Brunel (~30 students) for 1 year. Other teaching: • JAVA programming (level 1) - at Brunel (~200 students) for 5 years. • Masters level Statistics course - at Brunel Graduate School (~10 students) for 1 year.