Irfan Chishti

Dr Dr Irfan Chishti BSc, MBA., MSc. MPhil, PhD

Visiting Lecturer

Dr Irfan Chishti has over 20 years of teaching experience in the higher education and has a fellow membership of Higher Education Academy (FHEA). He joined University of Greenwich in 2012 as a visiting lecturer in the School of Computing & Mathematical Sciences (CMS). Irfan is an experienced educationist and entrepreneur who has established and successfully managing a few higher education institutions in London. He has recently competed his PhD in Computer Science from University of Westminster.

Responsibilities within the university

- Module Leader Principles of Security COMP1634

- Module Leader 2017/2018

  • Web Database Applications COMP 1686
  • Application and Web Development COMP 1551

Awards

University of Greenwich Vice Chancellor Scholarship

Recognition

    Fellow member of Higher Education Academy

Research / Scholarly interests

    Irfan's research interests are focused on knowledge discovery, intelligent systems, temporal reasoning, process modelling and mining techniques and their applications in the healthcare domain.

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., Chausselat, 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.