I am pleased to introduce myself as an Associate Professor of the DMB/DS group.  I am interested in the use of event-driven intelligent techniques such as process mining to improve the efficiency and effectiveness of information compliance while keeping in view the normative auditing perspective. Privacy concerns have altered the course of data science research especially when it comes to private data such as patient records and import/export procedures. In this scenario, compliance with privacy policies becomes an absolute necessity. The problem necessitates the development of frameworks to automatize compliance checking to discover irregularities for timely remedial actions. I am open to collaboration on innovative ideas that are closely related to my area of expertise.

 Being the daughter of teachers, teaching is an inheritance for me. This inheritance makes me an enthusiastic teacher, who believes in interaction with students to foster their interest in the subject and bring the ideas onto them in their simplest form. I believe the concepts explained without real-world examples are difficult to grasp and hence hard to apply. Being an international student of UT in the year 2008, I understand the struggles and hesitation of international students in the Dutch education system. This understanding helps me to create a class environment suitable for the multi-national audience using my experience of teaching in the Netherlands and Pakistan.

 On the personal side, I am a friendly person who loves to talk about cooking, the kid's education, the Dutch school system, and the Dutch language. This introduction cannot be complete without mentioning the welcoming attitude towards me whether I worked as a master student, Postdoc researcher, or now as an Assistant professor.

Organisations

Publications

2025

Drivers and Metrics for Quantifying IT Landscape Complexity (2025)In Enterprise Design, Operations, and Computing (EDOC 2024) (pp. 219-236) (Lecture Notes in Computer Science; Vol. 15409). Springer. Stoica., E., Rebelo Moreira, J. L., Piest, J. P. S. & Bukhsh, F. A.

2024

The evolution of data storage architectures: examining the secure value of the Data Lakehouse (2024)Journal of Data, Information and Management, 6(4), 309-334. Janssen, N., Ilayperuma, T., Jayasinghe, J., Bukhsh, F. & Daneva, M.https://doi.org/10.1007/s42488-024-00132-1IterSHAP: An XAI-Based Feature Selection Method for Small High-Dimensional Datasets (2024)In Proceedings of the Future Technologies Conference (FTC) 2024, Volume 2 (pp. 526-545) (Lecture Notes in Networks and Systems; Vol. 1155 LNNS). Springer. van Mourik, F., Haeri, M. A., Bukhsh, F. A. & Ahmed, F.https://doi.org/10.1007/978-3-031-73122-8_35Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand? (2024)Machine Learning and Knowledge Extraction, 6(3), 1997-2017. van Mourik, F., Jutte, A., Berendse, S. E., Bukhsh, F. A. & Ahmed, F.https://doi.org/10.3390/make6030098Security Approaches in Model-Driven Engineering for Web Applications: The State-of-the-art in the Last 10 Years (2024)In Proceedings - 32nd IEEE International Requirements Engineering Conference Workshops, REW 2024 (pp. 155-163). IEEE. Siderova, A., Daneva, M., Bukhsh, F. A. & Arachchige, J. J.https://doi.org/10.1109/REW61692.2024.00026Squeezing the Lemon: Using Accident Analysis for Recommendations to Improve the Resilience of Telecommunications Organizations (2024)In Proceedings of the 26th International Conference on Enterprise Information Systems: April 28-30, 2024, in Angers, France (pp. 149-158). SCITEPRESS. Wienen, H., Bukhsh, F. A., Vriezekolk, E., Ferreira Pires, L. & Wieringa, R. J.https://doi.org/10.5220/0012562900003690Survey of Explainability within Process Mining: A case study of BPI challenge 2020 (2024)In Proceedings - 2023 International Conference on Frontiers of Information Technology, FIT 2023 (pp. 43-48). IEEE. Hoogendoorn, T., Arachchige, J. J. & Bukhsh, F. A.https://doi.org/10.1109/FIT60620.2023.00018A Cascade of Consequences: Improving an Accident Analysis Method by Learning from a Real Life Telecommunications Accident (2024)In Proceedings of the 13th International Conference on Data Science, Technology and Applications, DATA 2024 (pp. 62-70). SCITEPRESS. Wienen, H. C. A., Bukhsh, F. A., Vriezekolk, E. & Pires, L. F.https://doi.org/10.5220/0012762800003756Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining (2024)In Proceedings of the 26th International Conference on Enterprise Information Systems (pp. 85-94) (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. Rademaker, F. M., Bemthuis, R. H., Jayasinghe, J. & Bukhsh, F. A.https://doi.org/10.5220/0012600700003690Exploring the Integration of Agent-Based Modelling, Process Mining, and Business Process Management through a Text Analytics–Based Literature Review (2024)In The Oxford Handbook of Agent-based Computational Management Science. Oxford University Press. Bukhsh, F. A., Govers, R., Bemthuis, R. H. & Iacob, M. E.https://doi.org/10.1093/oxfordhb/9780197668122.013.20

Research profiles

Ph.D. Students (co)/Supervision: 

  • Syeda Sohail (2020-Present)
  • Hans Wenin(2015-Present)

Master Students Supervision:

Bachelor Research Project:

CREATE Bachelor:

  • Niels Bos
  • German Savchenko

Affiliated study programs

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2023/2024

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