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Find Sareh Sadeghianasl on
Doctor of Philosophy (Queensland University of Technology)
Sareh Sadeghianasl is a Research Fellow in Process Science in the School of Information Systems at QUT. 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.
Additional information
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.
- 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