Dr Matt Selway

Research Fellow

Office of Engineering and Information Technology

College of Engineering and Information Technology


As a member of the AI and Software Engineering Laboratory (now part of the Industrial AI Research Centre) I was awarded my PhD in 2016 for my thesis entitled “Formal Models from Controlled Natural Language via Cognitive Grammar and Configuration”. For my PhD, I developed methods for computer-based understanding of textual software requirements with the aim of reducing errors and ambiguities in requirements, which cost substantial amounts to fix later in the software engineering process. Some of my PhD work was published in Elsevier's Information Systems journal. In 2015, I was awarded with 'Best Student Paper' at the International Conference on Conceptual Modelling (ER'15).
Aside from my PhD topic, I have coauthored publications for projects on data interoperability in the Oil & Gas industry by integrating principles of Ontologies and Multi-level Modelling. The aim of which is to support the lifecycle activities of capital facilities, e.g. oil refineries, including the Digital Handover of design specifications from Engineering/Procurement/Construction organisations to those involved in the operation and maintenance of the such facilities. I am continuing this work as part of UniSA Industrial AI and the Australian OIIE Interoperability Laboratory, through which we provide shared infrastructure for development and testing, research, and conformance testing of systems leveraging the OIIE (Open Industrial Interoperability Ecosystem) Specifications.
My current research as a Foundation Fellow in the Future Energy Exports CRC (FEnEx CRC) supports digital transformation and interoperabilty to enable I4.0 and beyond for hydrogen and the Energy industry more broadly. Projects include the development and demonstration of Specifications for Interoperable Analytics; the digital management and interoperablity of business clusters to improve cooperation and coordination between organisations allowing them to scale and achieve advanced supply chains; and frameworks for dynamic risk evaluation and work optimisation for industrial plants.
I also enjoy teaching and have been running the advanced programming course in C++ for the past few years, in which I introduce students to advanced concepts and try to relate them to the real-world requirements of Software Engineering.

Currently Foundation Fellow in the Future Energy Exports CRC (FEnEx CRC) supporting projects in the area of digital transformation and interoperabilty. The focus is enabling I4.0 and beyond in hydrogen plants and the Energy industry more broadly. Projects include the development and demonstration of Specifications for Interoperable Analytics; the digital management and interoperablity of business clusters to improve cooperation and coordination between organisations allowing them to scale and achieve advanced supply chains; and frameworks for dynamic risk evaluation and work optimisation for industrial plants.

Date Position Institution name
2018 - 2021 Course Coordinator (Software Engineering) University of South Australia
2015 - 2025 Researcher University of South Australia

Date Type Title Institution Name Country Amount
2015 Research Award Best Student Paper Award ER 2015 Springer Nature (Germany) Germany -

Date Institution name Country Title
2016 - 2016 University of South Australia Australia Doctor of Philosophy

Year Citation
2025 Memon, U., Mayer, W., Selway, M., & Stumptner, M. (2025). Interoperability of AI-enhanced digital twins. Journal of Industrial Information Integration, 48(100961), 1-21.
DOI
2024 Doe, R., Kaur, K., Selway, M., & Stumptner, M. (2024). Ecosystem interoperability for the architecture, engineering, construction & operations (AECO) sector. Journal of Information Technology in Construction, 29, 347-376.
DOI
2024 Woods, C., Selway, M., Bikaun, T., Stumptner, M., & Hodkiewicz, M. (2024). Ontology for maintenance activities and its application to data quality. Semantic Web, 15(2), 319-352.
DOI
2023 Morgan, R., Pulawski, S., Selway, M., Ghose, A., Grossmann, G., Mayer, W., . . . Kyprianou, R. (2023). Modelling temporal goals in runtime goal models. Data and Knowledge Engineering, 147(102205), 1-19.
DOI
2022 Doe, R., Kaur, K., Selway, M., & Stumptner, M. (2022). Interoperability in AECO and the oil & gas sectors: object-based standards and systems. Journal of Information Technology in Construction, 27(Special Issue from The Eastman Symposium), 312-334.
DOI
2018 Igamberdiev, M., Grossmann, G., Selway, M., & Stumptner, M. (2018). An integrated multi-level modeling approach for industrial-scale data interoperability. Software and systems modeling, 17(1), 269-294.
DOI
2017 Selway, M., Stumptner, M., Mayer, W., Jordan, A., Grossmann, G., & Schrefl, M. (2017). A conceptual framework for large-scale ecosystem interoperability and industrial product lifecycles. Data and knowledge engineering, 109, 85-111.
DOI
2015 Selway, M., Grossmann, G., Mayer, W., & Stumptner, M. (2015). Formalising natural language specifications using a cognitive linguistic/configuration based approach. Information Systems, 54, 191-208.
DOI

Year Citation
2026 Kularatne, S., Selway, M., Mayer, W., & Stumptner, M. (2026). Automating Perdurant Meta-Property Assignment Using GPT-4. In Event/exhibition information: 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, Australia, 01/12/2025 - 05/12/2025
Source details - Title: AI 2025: Advances in Artificial Intelligence (pp. 40-53). Germany: Springer.

DOI
2025 Memon, U., Mayer, W., Stumptner, M., & Selway, M. (2025). Challenges in composite Digital Twin models and their impact on interoperability. In M. Dassisti, K. Madani, & H. Panetto (Eds.), Event/exhibition information: 5th International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2024, Porto, 21/11/2024-22/11/2024
Source details - Title: Innovative Intelligent Industrial Production and Logistics : 5th International Conference, IN4PL 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part II Communications in Computer and Information Science (Vol. 2373, pp. 413-425). Cham, Switzerland: Springer.

DOI
2023 Schuetz, C. G., Schrefl, M., Selway, M., & Thalmann, S. (2023). Discovering actionable knowledge for industry 4.0: from data mining to predictive and prescriptive analytics. In B. Vogel-Heuser, & M. Wimmer (Eds.), Source details - Title: Digital Transformation Core Technologies and Emerging Topics from a Computer Science Perspective (pp. 337-362). Germany: Springer Vieweg, Berlin, Heidelberg.
DOI
2023 Kaur, K., Selway, M., Stumptner, M., Johnston, A., & Mathew, J. (2023). Standards-based interoperable digital twin in industry 4.0 - a pilot demonstration. In A. Marquez (Ed.), Event/exhibition information: 16th World Congress on Engineering Asset Management, WCEAM 2022, Seville, 05/10/2022-07/10/2022
Source details - Title: World Congress on Engineering Asset Management: WCEAM 2022: 16th WCEAM Proceedings (pp. 726-735). Switzerland: Springer.

DOI
2018 Mayer, W., Grossmann, G., Selway, M., Stanek, J., & Stumptner, M. (2018). Variety management for big data. In T. Hope, B. Humm, & A. Reibold (Eds.), Source details - Title: Semantic applications: methodology, technology, corporate use (pp. 47-62). Germany: Springer.
DOI

Year Citation
2025 Maruvada, V., Kaur, K., Selway, M., & Stumptner, M. (2025). Evaluating deep learning methods for virtual sensors in water infrastructure digital twins. In 2025 17th International Conference On Computer And Automation Engineering, Iccae (pp. 236-240). US: IEEE.
DOI
2024 Fu, Y., Selway, M., Grossmann, G., Kaur, K., & Stumptner, M. (2024). Modelling a warehouse with SLICER: a contribution to the MULTI warehouse challenge. In 27th International Conference On Model Driven Engineering Languages And Systems: Companion Proceedings, Models 2024 (pp. 828-837). US: IEEE.
DOI
2023 Fu, Y., Grossman, G., Kaur, K., Selway, M., & Stumptner, M. (2023). Towards the integration of multi-level and multi-view modelling for interoperability. In J. E. Guerrero (Ed.), Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023 (pp. 679-688). US: IEEE.
DOI
2022 Morgan, R., Pulawski, S., Selway, M., Mayer, W., Grossmann, G., Stumptner, M., . . . Kyprianou, R. (2022). Modeling rates of change and aggregations in runtime goal models. In J. Ralyte (Ed.), Conceptual Modeling (Er 2022) (pp. 397-412). Switzerland: Springer.
DOI
2022 Fu, Y., Grossmann, G., Kaur, K., Selway, M., & Stumptner, M. (2022). Multi-level risk modelling for interoperability of risk information. In H. Panetto (Ed.), IN4PL 2022 - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics (pp. 242-249). Portugal: SciTePress.
DOI
2021 Doe, R. M., Kaur, K., Selway, M., & Stumptner, M. (2021). A review of interoperability in the AECO sector compared with the oil & gas sector. In Proceedings of the 38th International Conference of CIB W78 (pp. 282-293). Luxembourg: Luxembourg Institute of Science and Technology.
2021 Woods, C., Selway, M., Hodkiewicz, M., Ameri, F., Stumptner, M., & Sobel, W. (2021). On the notion of maintenance state for industrial assets. In D. Šormaz, & W. Terkaj (Eds.), CEUR Workshop Proceedings Vol. 2969 (pp. 1-14). Germany: CEUR.
2021 Selway, M., Stumptner, M., & Mayer, W. (2021). Towards formalisation of concept descriptions and constraints. In F. Neuhaus, & B. Brodaric (Eds.), Formal Ontology in Information Systems (pp. 18-32). Netherlands: IOS Press.
DOI
2018 Selway, M., Owen, K. R., Dexter, R. M., Grossmann, G., Mayer, W., & Stumptner, M. (2018). Automated techniques for generating behavioural models for constructive combat simulations. In Data and decision sciences in action (pp. 103-115). Switzerland: Springer.
DOI
2018 Kaur, K., Selway, M., Grossmann, G., Stumptner, M., & Johnston, A. (2018). Towards an open-standards based framework for achieving condition-based predictive maintenance. In ACM International Conference Proceeding Series (pp. 1-8). US: ACM.
DOI
2018 Selway, M., Grossman, G., Stumptner, M., Owen, K. R., & Dexter, R. M. (2018). Integration of visual contracts and model transformation for enhanced MDE development. In Proceedings - 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2018 (pp. 415-425). US: ACM.
DOI
2017 Selway, M., Stumptner, M., Schrefl, M., & Jordan, A. (2017). Level-aware ecosystem transformations for industrial lifecycle interoperability. In Lecture notes in computer science Vol. 10650 (pp. 173-181). US: Springer.
DOI
2015 Selway, M., Stumptner, M., Mayer, W. E., Jordan, A. A., Grossmann, G., & Schrefl, M. (2015). A conceptual framework for large-scale ecosystem interoperability. In P. Johannesson (Ed.), Conceptual modeling : 34th International Conference, ER 2015, Stockholm, Sweden, October 19–22, 2015, proceedings (pp. 287-301). New York: Springer.
DOI
2015 Selway, M., Stumptner, M., Mayer, W., Jordan, A., Grossman, G., & Schrefl, M. (2015). Multilevel mapping of ecosystem descriptions. In C. Dubruyne (Ed.), OTM 2015: On the Move to Meaningful Internet Systems: OTM 2015 Conferences (pp. 257-266). Switzerland: Springer International Publishing.
DOI
2014 Jordan, A., Selway, M., Grossmann, G., Mayer, W., & Stumptner, M. (2014). Re-engineering the ISO 15926 Data Model: A Multi-level Metamodel Perspective. In A. Lomuscio, S. Nepal, F. Patrizi, B. Benatallah, & I. Brandic (Eds.), SERVICE-ORIENTED COMPUTING - ICSOC 2013 WORKSHOPS Vol. 8377 (pp. 248-255). Switzerland: SPRINGER-VERLAG BERLIN.
WoS1
2014 Selway, M., Mayer, W., & Stumptner, M. (2014). Semantic interpretation of requirements through cognitive grammar and configuration. In Proceedings 13th Pacific Rim International Conference on Artificial Intelligence (pp. 496-510). Germany: Springer.
DOI
2014 Jordan, A. A., Selway, M. R., Mayer, W. E., Grossmann, G., & Stumptner, M. (2014). An ontological core for conformance checking in the engineering life-cycle. In P. Garbacz, & O. Kutz (Eds.), Formal Ontology in Information Systems : Proceedings of the Eighth International Conference (FOIS 2014) (pp. 358-371). US: IOS Press.
DOI
2013 Selway, M., Grossmann, G., Mayer, W., & Stumptner, M. (2013). Formalising natural language specifications using a cognitive linguistics/configuration based approach. In Proceedings : 17th IEEE International Enterprise Distributed Object Computing Conference : EDOC 2013 (pp. 59-68). California: IEEE Computer Society.
DOI
2013 Selway, M., Mayer, W., & Stumptner, M. (2013). Configuring domain knowledge for natural language understanding. In M. Aldanondo, & A. Falkner (Eds.), Proceedings of the 15th International Configuration Workshop (pp. 63-70). France: École des Mines d'Albi-Carmaux.
2013 Grossmann, G., Jordan, A., Muruganandha, R., Selway, M., & Stumptner, M. (2013). Enabling information interoperability through multi-domain modeling. In F. Harmsen, & H. A. Proper (Eds.), Practice-Driven Research On Enterprise Transformation, PRET 2013 proceedings Vol. 151 (pp. 16-33). Germany: Springer.
DOI WoS4
2012 Jordan, A., Grossmann, G., Mayer, W., Selway, M., & Stumptner, M. (2012). On the application of software modelling principles on ISO 15926. In MOTPW'12 Proceedings of the Modelling of the Physical World Workshop (pp. 1-6). US: Association for Computing Machinery.
DOI
  • FEnEX 21.RP3.0106:  Asset Reliability and Risk Interoperability to Optimise Maintenance Execution and Improve Risk Management of Energy Producers, Future Energy Exports CRC Limited, 01/07/2022 - 01/01/2026

  • Supporting research projects in relation to 108940 - Asset Institute, Asset Institute Limited, 11/07/2023 - 11/01/2024

Date Role Committee Institution Country
2021 - ongoing Member EL-069 - Automation systems and integration (Mirror Committee to ISO TC184/SC1,4,5 and TC82/SC8) Standards Australia Australia

Date Role Membership Country
2012 - ongoing Member Australian Computer Society -

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