Dr Sareh Sadeghianasl
Faculty of Science,
School of Information Systems
Biography
Dr Sareh Sadeghianasl is a Lecturer in Information Systems, specialising in process data quality, process mining and business process management. She designs advanced data transformation techniques to prepare data for organisations like hospitals to make better decisions. Her work includes assessing data quality problems in electronic medical records of patients at a Queensland hospital Emergency Department, so managers can both accurately report activities and receive due government funding. As a Chief Investigator of an industry project, Sareh assessed the accuracy and timeliness of mine incident reports, and the corresponding corrective actions issued to mines, to prevent future incidents. She coordinates and teaches units in process modelling and advanced (NoSQL) databases.Personal details
Positions
- Lecturer in Information Systems
Faculty of Science,
School of Information Systems
Keywords
Process mining, Data quality, Business Process Management (BPM), Data mining
Research field
Information systems, Business process management, Data quality
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
Professional memberships and associations
QUT Centre for Data Science
IEEE Task Force on Process Mining
Australian Women in Technology
Business Process Management Association
Associate Fellow of the Higher Education Academy
Teaching
Unit Coordinator and Lecturer:
- IAB203 Process Modelling (2024 - Current)
- DSB201 Advanced Databases (2026 - Current)
- IAB206 Modern Data Management (2023 - 2025)
Experience
I have worked with Australian datasets from the health, mining, and insurance domains. I assessed data quality problems in electronic medical records of patients at a Queensland hospital Emergency Department, so managers can both accurately report activities and receive due government funding. As a Chief Investigator of an industry project, I assessed the accuracy and timeliness of mine incident reports, and the corresponding corrective actions issued to mines, to prevent future incidents.
Publications
- Sadeghianasl, S., Wynn, M., Andrews, R., van der Aalst, W. & Ko, J. (2026). Object-centric event-data imperfection patterns. Information Systems, 141, Article 102766. https://eprints.qut.edu.au/266139
- Sadeghianasl, S., Fischer, D., Adams, M., Andrews, R., Comuzzi, M., Dijkman, R., Ko, J., Koschmider, A., Wynn, M. & Ziolkowski, T. (2026). PraeclarusPDQ: A Reference Architecture for Process Data Quality Management. Journal of Data and Information Quality, 18(3), Article 11. https://eprints.qut.edu.au/268216
- Sadeghianasl, S., ter Hofstede, A., Suriadi, S. & Turkay, S. (2020). Collaborative and interactive detection and repair of activity labels in process event logs. Proceedings of the 2020 2nd International Conference on Process Mining: ICPM 2020, 41–48. https://eprints.qut.edu.au/205630
- Sadeghianasl, S., ter Hofstede, A., Wynn, M. & Lim, S. (2019). A contextual approach to detecting synonymous and polluted activity labels in process event logs. On the Move to Meaningful Internet Systems: OTM 2019 Conferences: Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Proceedings (Lecture Notes in Computer Science, Volume 11877), 76–94. https://eprints.qut.edu.au/133873
- Sadeghianasl, S., ter Hofstede, A., Wynn, M. & Turkay, S. (2024). Humans-in-the-loop: Gamifying activity label repair in process event logs. Engineering Applications of Artificial Intelligence, 132, Article 107875. https://eprints.qut.edu.au/246200
- Ter Hofstede, A., Koschmider, A., Marrella, A., Andrews, R., Fischer, D., Sadeghianasl, S., Wynn, M., Comuzzi, M., De Weerdt, J., Goel, K., Martin, N. & Soffer, P. (2023). Process-Data Quality: The True Frontier of Process Mining. Journal of Data and Information Quality, 15(3), Article 29. https://eprints.qut.edu.au/244538
QUT ePrints
For more publications by Sareh, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/s.sadeghianasl
Supervision
HDR current supervisions
- A Framework for Explaining and Analysing Root Causes of Process Data Quality Issues
PhD, Associate Supervisor
Other supervisors: Professor Moe Thandar Wynn
Supervision topics
The supervisions listed above are only a selection.