dr. F.A. Bukhsh (Faiza)

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

Research profiles

Ph.D. Students (co)/Supervision: 

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

Master Students Supervision:

• Pingel, M.S. (2021) Leveraging machine learning and process mining to predict anaemia with the help of biomarker data.
• Inoue Nakagawa, P. (2021) Semantic Description of Explainable Machine Learning Workflows. 
• Boersma, E. (2020) Intelligent process automation framework: supporting the transformation of a manual process to an automation.
• Yasmin, Fitri Almira (2019) Enhancement in process mining: guideline for process owner and process analyst.
• Nurlatifah, Eva (2019) Information audit triangle for practitioners. 

Bachelor Research Project:

• Graumans, Lisan (2021) Subpopulation Process Mining in the ICU for Patients Diagnosed with a type of Pneumonia.
• Cutina, Jennifer (2020) Assessing the use of process mining techniques to monitor the work process of commercial drivers.
• Schrijver, G. (2020) Using process mining to compare different variants of the same reimbursement process : A case study.
• Arends, Simon Daniël (2020) Quantity meets quality for mined process models through simulated events.
• Slooten, N. van (2020) A maturity level assessment of process mining bottleneck analysis techniques.
• Filipovic, Simona (2020) Subpopulation process mining in healthcare.
• Richter, N.G. (2019) Process mining in programming game logs to differentiate between skill levels.

CREATE Bachelor:

• Niels Bos
• German Savchenko

Affiliated study programs

Courses academic year 2026/2027

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 2025/2026

Courses academic year 2024/2025

Address

University of Twente

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

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