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PhD (Queensland University of Technology), MInfoTech (Queensland University of Technology), GDComComp (Queensland University of Technology), BEd (Brisbane College of Adv. Ed.), DipT (Kelvin Grove C.A.E)
Robert Andrews first joined QUT in 1990. During the period 1990-2001 he worked as an academic in the School of Information Systems, teaching mainly in relational database, and researching in the area of machine learning and explainable neural networks. He gained his PhD in this area in 2003 and spent the next 13 years as an IT consultant. In 2016, Robert Andrews re-joined the School of Information Systems' Business Process Management group in 2016 as a research fellow working on applying process mining techniques in the healthcare and insurance sectors. He is currently a senior research fellow working on projects involving pre-hospital transport and retrieval, patient journeys and outcomes following major trauma, and hospital capacity and case mix planning. Robert has a special interest in process-data quality.
Additional information
1990 - COBOL Programmer - SciTech (State Government Computing)
2001 - 2016 - IT Consultant (Access Management Consultants, MYP Corporation)
- System analysis & design
- Requirements specifications
- Tender management
- ERP System/supplier selection & implementation
- Forensic computing
- Data mining – intelligent systems
- Software system verification
- Systems audit
- Web development
- Application development (including mobile applications)
2016 - 2018 Research Fellow (School of Information Systems) Application of process mining and data science techniques in
- healthcare (St Andrews' War Memorial Hospital, Princess Alexandra Hospital, Queensland Ambulance Service, Retrieval Services Queensland, Queensland Health)
- CTP insurance (Motor Accident Insurance Commission)
- wildlife hazard risk management (Brisbane Airport Corporation)
2019 - Senior Lecturer (School of Information Systems)
- Modelling Techniques for Information Systems
2020 - Senior Research Fellow (School of Information Systems). Application of process mining and data science techniques in
- healthcare (Queensland Ambulance Service, Retrieval Services Queensland, Queensland Health, Princess Alexandra Hospital, Queensland Children's Hospital, Mater Hospital)
- Andrews R, van Dun C, Wynn M, Kratsch W, Roglinger M, ter Hofstede A, (2020) Quality-informed semi-automated event log generation for process mining, Decision Support Systems, 132.
- Emamjome F, Andrews R, ter Hofstede A, (2019) A case study lens on process mining in practice, 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), pp. 127-145.
- Andrews R, Wynn M, ter Hofstede A, Xu J, Horton K, Taylor P, Plunkett-Cole S, (2018) Exposing impediments to insurance claims processing: Compulsory third party insurance in Queensland. In J Mendling & J vom Brocke, Business process management cases: Digital innovation and business transformation in practice (Management for Professionals), Springer, pp. 275-290.
- Andrews R, Suriadi S, Wynn M, ter Hofstede A, (2018) Healthcare process analysis. In C Combi, G Pozzi & P Veltri, Process modeling and management for healthcare (Chapman and Hall/CRC Healthcare Informatics Series), CRC Press, pp. 165-194.
- Andrews R, Suriadi S, Wynn M, ter Hofstede A, Rothwell S, (2018) Improving patient flows at St. Andrew's War Memorial Hospital's emergency department through process mining. In J Mendling & J vom Brocke, Business process management cases: Digital innovation and business transformation in practice (Management for Professionals), Springer, pp. 311-333.
- Andrews R, Wynn M, (2017) Shelf time analysis in CTP insurance claims processing, Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Revised Selected Papers (Lecture Notes in Artificial Intelligence, Volume 10526), pp. 151-162.
- Andrews R, Geva S, (2002) Rule Extraction from Local Cluster Neural Nets, Neurocomputing, 47, pp. 1-20.
- Andrews R, Diederich J, Tickle A, (1995) Survey And Critique Of Techniques For Extracting Rules From Trained Artifical Neural Networks., Knowledge-Based Systems, pp. 373-390.