PhD (University of Queensland)
Alistair Barros is Head of School and Academic Program Leader of Service Science at QUT’s School of Information Systems at the Faculty of Science, QUT. He has a PhD from the University of Queensland and ICT experience across academic and industry organisations, including being Global Research Leader at SAP AG.
Alistair's research focus is on the design, evolution, interoperability and optimisation of enterprise systems through contemporary cyber-physical settings - enabled by Cloud, Industrial Internet-of-Things and Blockchain platforms. His research interests include service computing methods and techniques applied to: software architectures and microservices; business process management; model-based systems re-engineering; and distributed service optimisation and coordination. His work previously applied to service industries in banking and public sector, and has extended to cyber-physical domains including construction, manufacturing, and supply chains.
Alistair has published 160+ articles, which include 6 edited books, and 120 peer-reviewed journals, conference and book chapter articles. He also has 17 filed US patents. In terms of research publication metrics, he has a h-index of 35 and his articles have attracted 9,821 citations, according to Google Scholar. Among his publication highlights are: the “Workflow Patterns” article, which is the most cited in the Business Process Management (BPM) field; and the “Service Interaction Patterns” which won the “Test of Time” award at international BPM 2015 conference for highest impact BPM 2005-6 paper over ten years.
Alistair has led Australian Research Council, Cooperative Research Centre, EU Framework Program 6, German BMBF and direct industry funded projects. His impacts include: co-authorship of the Business Process Management Notation 2.0 standard; contributions to SAP's Netweaver BPM and Exchange Infrastructure products; business and solution architecture contributions for Federal Government Department of Human Services $1.6b WPIT project; and the TeachConnect platform which won the Wharton Re-Imagining Education Award (Gold category for Asia Pacific Region).
- Whaiduzzaman, M., Hossain, M., Shovon, A., Roy, S., Laszka, A., Buyya, R. & Barros, A. (2020). A Privacy-preserving Mobile and Fog Computing Framework to Trace and Prevent COVID-19 Community Transmission. IEEE Journal of Biomedical and Health Informatics, 24(12), 3564–3575. https://eprints.qut.edu.au/206898
- Barros, A., Ouyang, C. & Wei, F. (2020). Static Analysis for Improved Modularity of Procedural Web Application Programming Interfaces. IEEE Access, 8, 128182–128199. https://eprints.qut.edu.au/206899
- Sindhgatta Rajan, R., Moreira, C., Ouyang, C. & Barros, A. (2020). Exploring Interpretable Predictive Models for Business Processes. Business Process Management: 18th International Conference, BPM 2020 Proceedings, 257–272. https://eprints.qut.edu.au/202073
- De Alwis, A., Barros, A., Fidge, C. & Polyvyanyy, A. (2020). Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering. Advanced Information Systems Engineering: 32nd International Conference, CAiSE 2020, Proceedings, 3–19. https://eprints.qut.edu.au/201012
- Rasmussen, R., Barros, A. & Wei, F. (2018). A likelihood-free Bayesian derivation method for service variants. Journal of Systems and Software, 143, 87–99. https://eprints.qut.edu.au/118268
- Furda, A., Fidge, C. & Barros, A. (2018). A practical approach for detecting multi-tenancy data interference. Science of Computer Programming, 163, 160–173. https://eprints.qut.edu.au/118269
- Furda, A., Fidge, C., Zimmermann, O., Kelly, W. & Barros, A. (2018). Migrating enterprise legacy source code to microservices: On multi-tenancy, statefulness and data consistency. IEEE Software, 35(3), 63–72. https://eprints.qut.edu.au/223133
- De Alwis, A., Barros, A., Polyvyanyy, A. & Fidge, C. (2018). Function-splitting heuristics for discovery of microservices in enterprise systems. Service-Oriented Computing: 16th International Conference, ICSOC 2018, Proceedings (Lecture Notes in Computer Science, Volume 11236), 37–53. https://eprints.qut.edu.au/197013
- Polyvyanyy, A., Ouyang, C., Barros, A. & van der Aalst, W. (2017). Process querying: Enabling business intelligence through query-based process analytics. Decision Support Systems, 100, 41–56. https://eprints.qut.edu.au/106408
- Russell, N., Barros, A. & ter Hofstede, A. (2017). Towards a coordinative theory for flexible work collaboration. Proceedings of the 38th International Conference on Information Systems, 1–21. https://eprints.qut.edu.au/114811