QUT - Academic profiles - Dr Sareh Sadeghianasl

Dr Sareh Sadeghianasl is a Lecturer in Information Systems. As part of her PhD studies at QUT, she has developed open-source gamified techniques to detect and remedy data quality issues in event data for process mining. She also has experience working with Australian datasets from the insurance and health domains. She is currently involved in the quality assessment and root cause identification of data quality problems in electronic medical records of patients presenting at the Emergency Department of a Queensland hospital.

+61731381395

s.sadeghianasl@qut.edu.au

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Personal details

Positions

Lecturer in Information Systems
Faculty of Science,
School of Information Systems

Keywords

Process mining, Data quality, Activity labels, Gamification

Research field

Information systems

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

I have worked as a tutor for different units (e.g., IAB206, IAB201, and IAB321) at QUT in the past 3 years.

Experience

I have experience working with Australian datasets from the insurance and health domains. I am currently involved in the quality assessment and root cause identification of data quality problems in electronic medical records of patients presenting at the Emergency Department of a Queensland hospital.

Publications

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

QUT ePrints

For more publications by Sareh, explore their research in QUT ePrints (our digital repository).

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2024

Sadeghianasl, S., ter Hofstede, A., Wynn, M. T. & Turkay, S. (2024). Humans-in-the-loop: Gamifying activity label repair in process event logs. Engineering Applications of Artificial Intelligence, Article 107875, 132. https://eprints.qut.edu.au/246200

2023

Goel, K., Sadeghianasl, S., Andrews, R., ter Hofstede, A., Wynn, M. T., Kapugama Geeganage, D., Leemans, S. J. J., McGree, J., Eden, R., Staib, A., Eley, R. & Donovan, R. (2023). Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023, 3235–3244. University of Hawai'i at Manoa. https://eprints.qut.edu.au/237500
Syed, R., Eden, R., Makasi, T., Chukwudi, I., Mamudu, A., Kamalpour, M., Kapugama Geeganage, D., Sadeghianasl, S., Leemans, S. J. J., Goel, K., Andrews, R., Wynn, M. T., ter Hofstede, A. & Myers, T. (2023). Digital Health Data Quality Issues: Systematic Review. Journal of Medical Internet Research, Article e42615, 25. https://eprints.qut.edu.au/239040
Ter Hofstede, A. H. M., Koschmider, A., Marrella, A., Andrews, R., Fischer, D. A., Sadeghianasl, S., Wynn, M. T., 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, Article 29, 15(3). https://eprints.qut.edu.au/244538

2022

Sadeghianasl, S. (2022). The quality guardian: Improving activity label quality in event logs through gamification. Queensland University of Technology.
Sadeghianasl, S. (2022). The Quality Guardian: Improving Activity Label Quality in Event Logs Through Gamification. Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration and Resources Track at BPM 2022, 1–5. Sun SITE Central Europe (CEUR). https://eprints.qut.edu.au/236028

2021

Sadeghianasl, S., ter Hofstede, A., Wynn, M. T., Turkay, S. & Myers, T. (2021). Process Activity Ontology Learning From Event Logs Through Gamification. IEEE Access, 9, 165865–165880. https://eprints.qut.edu.au/227285

2020

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, 41–48. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/205630

2019

Sadeghianasl, S., ter Hofstede, A., Wynn, M. T. & 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. Springer. https://eprints.qut.edu.au/133873

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/s.sadeghianasl

Dr Sareh Sadeghianasl

Biography