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
2023
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 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.
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 192199978 - Final Project CS
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta Software Technology
- 201500371 - Capita Selecta BIT
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900234 - Internship I-Tech
- 202001233 - Probability Theory for TCS/BIT
- 202001434 - Internship EMSYS
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202200021 - Machine Learning for Datatypes
- 202200022 - KKR & DQ
- 202200023 - Explainable AI & Ethics
- 202200024 - DS&AI Project
- 202200251 - Capita Selecta DST
- 202200267 - Capita Selecta EngD (tailored assignm.2)
- 202300070 - Final Project EMSYS
- 202300200 - Data Science
- 202300201 - Data Science - Additional Topics
- 202300202 - Data Science for ATLAS
- 202400203 - Data Science for GZW
- 202400425 - Graduation Project II
Courses academic year 2023/2024
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 192199978 - Final Project CS
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300074 - REDI
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta Software Technology
- 201500371 - Capita Selecta BIT
- 201600017 - Final Project Preparation
- 201600191 - Conference - EngD
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900200 - Final Project EMSYS
- 201900234 - Internship I-Tech
- 202000029 - Empirical and Design Science Research
- 202001045 - Social Network Structure and Dynamics
- 202001047 - Web Science Final Project
- 202001233 - Probability Theory for TCS/BIT
- 202001434 - Internship EMSYS
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202001614 - MSc Final Project CS + I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202100161 - Graduation Project Part II
- 202101028 - Data & Information Core
- 202200021 - Machine Learning for Datatypes
- 202200022 - KKR & DQ
- 202200023 - Explainable AI & Ethics
- 202200024 - DS&AI Project
- 202200251 - Capita Selecta DST
- 202200259 - Data & Information Core
- 202200267 - Capita Selecta EngD (tailored assignm.2)
- 202300070 - Final Project EMSYS
- 202300200 - Data Science
- 202300201 - Data Science - Additional Topics
- 202300202 - Data Science for ATLAS
- 202300363 - Internship BIT - CS
Address
University of Twente
Zilverling (building no. 11), room 4037
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 4037
P.O. Box 217
7500 AE Enschede
Netherlands
Organisations
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