Dr Sander Leemans
This person does not currently hold a position at QUT.
Personal details
Keywords
process mining, stochastic process mining, robotic process automation
Research field
Artificial intelligence, Information systems, Applied mathematics
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD in process mining (Eindhoven University of Technology)
- Master of Science Education and Communication (Eindhoven University of Technology)
- Master of Computer Science and Engineering (Eindhoven University of Technology)
Teaching
IAB320 - Business Process Improvement [2018s2]
IFN515 - Fundamentals of Business Process Management [2019s2]
Publications
- Suriadi, S., Leemans, S., Carrasco, C., Keeney, L., Walters, P., Burrage, K., ter Hofstede, A. & Wynn, M. (2018). Isolating the impact of rock properties and operational settings on minerals processing performance: A data-driven approach. Minerals Engineering, 122, 53–66. https://eprints.qut.edu.au/117409
- Leemans, S., Fahland, D. & van der Aalst, W. (2018). Scalable process discovery and conformance checking. Software and Systems Modeling, 17(2), 599–631. https://eprints.qut.edu.au/222944
- Leemans, S., Fahland, D. & van der Aalst, W. (2015). Exploring processes and deviations. Business Process Management Workshops: BPM 2014 International Workshops, Revised Papers [Lecture Notes in Business Information Processing, Volume 202], 304–316. https://eprints.qut.edu.au/107387
- van Eck, M., Lu, X., Leemans, S. & van der Aalst, W. (2015). PM2: A process mining project methodology. Advanced Information Systems Engineering: 27th International Conference, CAiSE 2015, Proceedings [Lecture Notes in Computer Science, Volume 9097], 297–313. https://eprints.qut.edu.au/107398
- Leemans, S., Fahland, D. & van der Aalst, W. (2015). Scalable process discovery with guarantees. Enterprise, Business-Process and Information Systems Modeling: 16th International Conference, BPMDS 2015, 20th International Conference, EMMSAD 2015, Proceedings (Lecture Notes in Business Information Processing, Volume 214), 85–101. https://eprints.qut.edu.au/107386
- Leemans, S., Fahland, D. & van der Aalst, W. (2014). Discovering block-structured process models from event logs containing infrequent behaviour. Business Process Management Workshops: BPM 2013 International Workshops, Revised Papers [Lecture Notes in Business Information Processing, Volume 171], 66–78. https://eprints.qut.edu.au/107383
- Leemans, S., Fahland, D. & van der Aalst, W. (2014). Discovering block-structured process models from incomplete event logs. Application and Theory of Petri Nets and Concurrency: 35th International Conference, PETRI NETS 2014, Proceedings [Lecture Notes in Computer Science, Volume 8489], 91–110. https://eprints.qut.edu.au/107385
- Leemans, S., Fahland, D. & van der Aalst, W. (2014). Process and deviation exploration with inductive visual miner. BPM Demo Sessions 2014: Proceedings of the BPM Demo Sessions 2014 [CEUR Workshop Proceedings, Volume 1295], 46–50. https://eprints.qut.edu.au/107382
- Hwong, Y., Keiren, J., Kusters, V., Leemans, S. & Willemse, T. (2013). Formalising and analysing the control software of the Compact Muon Solenoid Experiment at the Large Hadron Collider. Science of Computer Programming, 78(12), 2435–2452. https://eprints.qut.edu.au/107448
- Leemans, S., Fahland, D. & van der Aalst, W. (2013). Discovering block-structured process models from event logs - A constructive approach. Application and Theory of Petri Nets and Concurrency: 34th International Conference, PETRI NETS 2013, Proceedings (Lecture Notes in Computer Science, Volume 7927), 311–329. https://eprints.qut.edu.au/107381
QUT ePrints
For more publications by Sander, explore their research in QUT ePrints (our digital repository).