It is a great pleasure to introduce myself as an Assistant 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

2024
Squeezing the Lemon: Using Accident Analysis for Recommendations to Improve the Resilience of Telecommunications OrganizationsIn 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 2020In 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/FIT60620.2023.00018Monitoring Value Chains of Organic BeveragesIn Enterprise Design, Operations, and Computing: Enterprise Design, Operations, and Computing EDOC 2023 Workshops IDAMS, iRESEARCH, MIDas4CS, SoEA4EE, EDOC Forum, Demonstrations Track and Doctoral Consortium Groningen, The Netherlands, October 30 – November 3, 2023 Revised Selected Papers (pp. 81-88). Springer Nature. Santos, H. D., Silva, P. d. A., Cintra, M. E., Neto, F. M. M. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-54712-6_5Analyzing Sepsis Treatment Variations in Subpopulations with Process MiningIn Proceedings of the 26th International Conference on Enterprise Information Systems (pp. 85-94). 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 ReviewIn 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
2023
A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining TechniquesIn E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers (pp. 118-136). Springer Nature. Piest, J. P. S., Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. & Bukhsh, F. A.https://doi.org/10.1007/978-3-031-36840-0_7Industry 4.0 and healthcare: Context, applications, benefits and challenges, 195-248. Kotzias, K., Bukhsh, F. A., Arachchige, J. J., Daneva, M. & Abhishta, A.https://doi.org/10.1049/sfw2.12074Covid severity prediction: Who cares about the data quality?In Covid severity prediction: Who cares about the data quality? (pp. 225-230). IEEE. Nae, T., Krabbe, J., Bukhsh, F. A., Jayasinghe Arachchige, J. & Ahmed, F.https://doi.org/10.1109/FIT57066.2022.00049Investigating Aha Moment Through Process MiningIn Proceedings of the 25th International Conference on Enterprise Information Systems (pp. 164-172). Chiang, W.-H., Ahmad, U., Wang, S. & Bukhsh, F. A.https://doi.org/10.5220/0011848800003467Process Mining and Perceived Privacy Violations: A Pilot-StudyIn Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2, ICEIS 2023 (pp. 289-296). SCITEPRESS. Zuidema-Tempel, E., Bukhsh, F. A., Effing, R. & van Hillegersberg, J.https://doi.org/10.5220/0011745200003467

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 2023/2024

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 2022/2023

Address

University of Twente

Zilverling (building no. 11), room 4037
Hallenweg 19
7522 NH Enschede
Netherlands

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