Welcome...

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.

Expertise

Engineering & Materials Science
Compliance
Industry
Logistics
Metadata
Ontology
Mathematics
Literature Review
Ontology
Business & Economics
Auditing

Research


 

Publications

Recent
Maneschijn, D. G. J. C. , Bemthuis, R. H., Arachchige, J. J. , Bukhsh, F. A. , & Iacob, M. E. (2023). Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective. In J. Filipe, M. Śmiałek, A. Brodsky, & S. Hammoudi (Eds.), Enterprise Information Systems. ICEIS 2022 (pp. 3-21). (Lecture Notes in Business Information Processing; Vol. 487). Springer Nature. https://doi.org/10.1007/978-3-031-39386-0_1
Piest, J. P. S. , Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. , & Bukhsh, F. A. (2023). A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques. In 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). (Communications in Computer and Information Science (CCIS); Vol. 1795). Springer Nature. https://doi.org/10.1007/978-3-031-36840-0_7
Zuidema-Tempel, E. , Bukhsh, F. A. , Effing, R. , & van Hillegersberg, J. (2023). Process Mining and Perceived Privacy Violations: A Pilot-Study. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 2, ICEIS 2023 (pp. 289-296). (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 2). SCITEPRESS. https://doi.org/10.5220/0011745200003467
Nae, T., Krabbe, J. , Bukhsh, F. A., Jayasinghe Arachchige, J. , & Ahmed, F. (2023). Covid severity prediction: Who cares about the data quality? In Covid severity prediction: Who cares about the data quality? (pp. 225-230). IEEE. https://doi.org/10.1109/FIT57066.2022.00049
Chiang, W-H., Ahmad, U. , Wang, S. , & Bukhsh, F. A. (2023). Investigating Aha Moment Through Process Mining. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 25th International Conference on Enterprise Information Systems (Vol. 1, pp. 164-172) https://doi.org/10.5220/0011848800003467
Dichev, K. , Bukhsh, F. , & Barrios-Fleitas, Y. (2022). Application of NLP on student's Discord messages for automatic Belbin role identification. In 2022 International Conference on Frontiers of Information Technology (FIT) (pp. 302-307). [10043095] IEEE. https://doi.org/10.1109/FIT57066.2022.00062
Moghaddar, A. , Bukhsh, F. A. , & Bruinsma, G. W. J. (2022). Performance Enhancement of Formula One Drivers with the Use of Group Driven Learning. In G. Wagner, F. Werner, & F. De Rango (Eds.), Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (pp. 260-270). SCITEPRESS. https://doi.org/10.5220/0000163300003274
Sohail, S. A. , Bukhsh, F. A. , van Keulen, M., Krabbe, J. G., & Hruby, P. (2022). Evaluating Clinical-Care Metadata Share and its FAIRification using the REA Ontology. In H. Weigand, T. Prince Sales, & P. Johanesson (Eds.), VMBO 2022, Value Modelling and Business Ontologies 2022: Proceedings of the 16th International Workshop on Value Modelling and Business Ontologies (VMBO 2022), held in conjunction with the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022), June 06–10, 2022, Leuven, Belgium (Vol. 3155). (CEUR Workshop Proceedings). CEUR. http://ceur-ws.org/Vol-3155/paper3.pdf
Maneschijn, D. G. J. C. , Bemthuis, R. H. , Bukhsh, F. A. , & Iacob, M-E. (2022). A Methodology for Aligning Process Model Abstraction Levels and Stakeholder Needs. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 24th International Conference on Enterprise Information Systems (Vol. 1, pp. 137-147). (International Conference on Enterprise Information Systems, ICEIS - Proceedings; Vol. 1). SCITEPRESS. https://doi.org/10.5220/0011029600003179

UT Research Information System

Google Scholar Link

Education

Affiliated Study Programmes

Bachelor

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

Contact Details

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