dr. F.A. Bukhsh (Faiza)

Assistant Professor

About Me

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.


Literature Review
Big Data
Literature Review




Bemthuis, R. H., van Slooten, N., Arachchige, J. J. , Piest, J. P. S. , & Bukhsh, F. A. (2021). A Classification of Process Mining Bottleneck Analysis Techniques for Operational Support. In F. Wijnhoven, & M. van Sinderen (Eds.), Proceedings of the 18th International Conference on e-Business (ICE-B 2021) (pp. 127-135). SCITEPRESS. https://doi.org/10.5220/0010578601270135
Sohail, S. A. , Bukhsh, F. A. , van Keulen, M., & Krabbe, J. G. (2021). Identifying Materialized Privacy Claims of Clinical-Care Metadata Share using Process-Mining and REA ontology. 111-120. Paper presented at 15th International Workshop on Value Modelling and Business Ontologies, VMBO 2021, Virtual Workshop. http://ceur-ws.org/Vol-2835/paper12.pdf
Piest, J. P. S., Cutinha, J. A. , Bemthuis, R. H. , & Bukhsh, F. A. (2021). Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics. In Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS) (Vol. 1, pp. 290-296). SCITEPRESS. https://doi.org/10.5220/0010477702900296
Lammers, M. , Wijnhoven, F. , Bukhsh, F. A., & Silva, P. D. A. (2020). Automatic Q.A-Pair Generation for Incident Tickets Handling: An Application of NLP. In K. Djemame, J. Á. Bañares, V. Stankovski, J. Altmann, O. A. Ben-Yehuda, & B. Tuffin (Eds.), Economics of Grids, Clouds, Systems, and Services: 17th International Conference, GECON 2020, Izola, Slovenia, September 15–17, 2020, Revised Selected Papers (pp. 15-27). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12441 LNCS). Springer. https://doi.org/10.1007/978-3-030-63058-4_2
Marazza, F. , Bukhsh, F. A., Geerdink, J., Vijlbrief, O. , Pathak, S. , van Keulen, M. , & Seifert, C. (2020). Automatic Process Comparison for Subpopulations: Application in Cancer Care. International journal of environmental research and public health, 17(16), 1-23. [5707]. https://doi.org/10.3390/ijerph17165707
Sohail, S. A. , & Bukhsh, F. A. (2020). From Subjective To Objective Informed Consent In Healthcare: Biobanks In Focus. Poster session presented at Alice & Eve 2020, Enschede, Netherlands.
Sohail, S. A., Krabbe, J., de Alencar Silva, P. , & Bukhsh, F. A. (2020). Privacy Value Modeling: A Gateway To Ethical Big Data Handling. In B. Roelens, W. Laurier, G. Poels, & H. Weigand (Eds.), VMBO 2020: Value Modelling and Business Ontologies (pp. 5-15). (CEUR Workshop Proceedings; Vol. 2574). CEUR. http://ceur-ws.org/Vol-2574/paper1.pdf

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Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4037
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4037
P.O. Box 217
7500 AE Enschede
The Netherlands