Key details
Dr Irfan Chishti
Lecturer in Computer Science
Irfan Chishti has over 25 years of teaching experience in higher education. He has PhD in Computer Science from the University of Westminster, London, and an MSc in Distributed Information Systems from Brunel University, London, UK.
He has been a visiting lecturer from 2012-2022 at various London Universities including the University of Westminster, East London University and Arden University. He has been a head of a computing school, and programme director of the University of Portsmouth affiliated Master in Strategic Business IT at a private college in London between 1998-2012. He is a fellow member of the Higher Education Academy (FHEA) and a member of the British Computer Society (MBCS).
Dr Irfan’s PhD research was multidisciplinary, combining formal and informal process modelling approaches utilising temporal theories to extend the current formal modelling approaches to design and manage systems optimally. Some highlights include 3 three-year NHS project where the A&E patient flows optimised reducing the waiting times of the King’s College Hospital patients using a novel framework developed during PhD. His research interests include Process Modelling for Optimisation using machine learning techniques, Cybersecurity Risk Management, and AI implications for Privacy and Ethics.
Responsibilities within the university
Module Leader
COMP1843 Principles of Security
COMP1856 Software Engineering
COMP1860 IT Security and Privacy Risk Management
Project Supervision
MSc Project Supervisor
UG Final Year Project Supervisor
Awards
Received Inspirational Teaching Award 2024 organised by the University of 杏吧app下载 student union
Recognition
Professional Member of the British Computer Society (MBCS)
Fellow of Higher Education Academy (FHEA)
Research / Scholarly interests
Process Modelling & Optimisation
Cyber Security Risk Management
AI implications to Privacy and Ethics
Recent publications
Chishti, Irfan, Ma, Jixin, Knight, Brian (2014). Ontology Mapping of Business Process Modelling based on temporal logic, in International Journal of Advanced Computer Science and Applications, Volume 5 Issue 7, pp 95-104, ISSN 2156 5570, (doi 10.14569/IJACSA.2014.050715)
Presentations
- Chishti I., Basukoski A., Chaussalet T., Beeknoo N. (2019) Transformation of UML Activity Diagram for Enhanced Reasoning. In: Arai K., Bhatia R., Kapoor S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 881. Springer, Cham.
- Chishti, I., Basukoski, A. and Chaussalet, T.J. (2018). Modeling Patient Flows: A Temporal Logic Approach. Journal On Computing, 6 (2). ISSN 2251-3043.
- Chishti, I., Basukoski, A. and Chaussalet, T.J. (2017). Modeling and Optimizing Patient Flows. In: 8th Annual International Conference on ICT: Big Data, Cloud & Security, 21-22 August 2017, Singapore (Best Paper award).
- Chishti, I., Chaussalet, T. J., Basukoski, A., (2017). Patient Flow Modelling and Scheduling using Point Interval Logic (poster) at Informatics for Health 24th April 2017, Manchester, UK.
- Chishti, I., Basukoski, A., & Chaussalet, T. J. (2016). Business Process Modelling based on formal temporal theory with an application to hospital patient flows. In 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Institute of Mathematics and its Applications.
- Chishti, I. (2015). Towards a general framework for business process modelling, in International Journal of Intelligent Computing Research, Volume 5 Issue ¾, pp 457 – 467.
- Chishti, I. (2014). A grounding of business process modeling based on temporal logic, in International Conference on Information Society (i-Society 2014). pp. 266-273. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA
- Chishti, I, Ma, J,, and Knight, B. (2014). Ontology Mapping of Business Process Modelling based on temporal logic, in International Journal of Advanced Computer Science and Applications, Volume 5 Issue 7, pp 95-104.