Georg Grossmann

Research Interests

Artificial Intelligence Business process management Data engineering and data science Data management and data science Health Informatics Health informatics and information systems Health Information Systems Information modelling, management and ontologies Information Systems Software Engineering

APrf Georg Grossmann

Associate Professor of Digital Health

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Available For Media Comment.

Consultation times for 2026 Semester 1 (9 Feb - 21 Jun 2026): Monday 1-2pm in City West Campus/Yungondi Building/Room Y3-36.
Please contact me per email for other times.
 
I am the leader of the Digital Health theme at the Industrial AI Research Centre and co-director of the Digital Health Innovation and Clinical Informatics (DHICI) Lab.
 
The DHICI Lab was established by the Industrial AI Research Centre and the Rosemary Bryant AO Research Centre in 2025.
I am member of the AI and Software Engineering Lab in the Industrial AI Research Centre and work on the integration of business processes and complex data structures for systems interoperability using AI. As an affiliated researcher at the Centre for Change and Complexity in Learning (C3L) I am working with colleagues on applying AI in teaching & learning. I received my PhD from UniSA in 2008 and was awarded the Ian Davey Research Thesis price for the most outstanding PhD thesis. My current research interests include integration of service processes, ontology-driven integration, information visualisation, management of digital twins, and AI-driven software engineering. I am currently co-investigator in the Digital Health CRC project PreHaRM, Future Energy Export (FEnEx) CRC projects on risk management and data integration/interoperability, and in collaboration with the MIMOSA-led work on the OIIE OGI Pilot. I am also Steering Committee member of the International Conference on Enterprise Design, Operations and Computing (EDOC).
 
Video on OIIE Oil & Gas Interoperability (OGI) Phase 3.1 Pilot Demonstration: https://www.youtube.com/watch?v=U13c9p4GQuw
Video on OIIE Oil & Gas Interoperability (OGI) Phase 1 Pilot Demonstration: https://www.youtube.com/watch?v=ShvX4_C7QJg
 

  • Modelling of business processes and complex data structures for systems interoperability
  • Process Analytics
  • Integration of service processes
  • GenAI- and Ontology-driven integration
  • Model-driven information visualisation
  • Management of Digital Twins
  • GenAI-supported Domain Modelling

Language Competency
French Can read and understand spoken
German Can read, write, speak, understand spoken and peer review

Year Citation
2027 Zhang, W., Jiang, B., Fu, Y., Cheng, H., Hummel, M., Scotti, V., . . . Koziolek, A. (2027). Large language models in model-driven engineering: a systematic mapping study. Empirical Software Engineering, 32(1), 67 pages.
DOI
2026 Eckert, M., Sharplin, G., Mayer, W., Grossmann, G., Stanek, J., Gupta, G., . . . Marlow, N. (2026). An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol fora Three-Phase Model Development and Pilot-Testing Study. JMIR RESEARCH PROTOCOLS, 15, 7 pages.
DOI
2026 Gupta, G., Stanek, J., Mayer, W., Grossmann, G., & Stumptner, M. (2026). VarDiff: A Conceptual Model for Representing Variable Differences Between Clinical Decision Support Systems. Applied Sciences Switzerland, 16(7), 3331.
DOI
2026 Zamecnik, A., Febriantoro, W., Cukurova, M., Joksimović, S., Grossmann, G., & Siemens, G. (2026). Linking AI agent architectures to trust antecedents in human-autonomous teams: a scoping review. Artificial Intelligence Review, 59(8), 34 pages.
DOI
2026 Fu, Y., Grossmann, G., Kaur, K., Selway, M., & Stumptner, M. (2026). Handling conflicts in consistency management of multi-level models in collaborative Digital Twins modelling environments. Information and Software Technology, 198, 33 pages.
DOI
2025 Michael, J., Cleophas, L., Zschaler, S., Clark, T., Stumptner, M., & Vangheluwe, H. (2025). Model-driven engineering for digital twins: opportunities and challenges. Systems Engineering, online(5), 1-12.
DOI Scopus34 WoS23
2025 Gupta, G., Stanek, J., Mayer, W., & Grossmann, G. (2025). Clinical decision support systems redeployment - levels of matching between variables in different ecosystems. Studies in Health Technology and Informatics, 329, 1630-1631.
DOI
2024 Zamecnik, A., Kovanović, V., Joksimović, S., Grossmann, G., Ladjal, D., & Pardo, A. (2024). The perceptions of task cohesion in collaborative learning teams. International Journal of Computer-Supported Collaborative Learning, 19(3), 369-393.
DOI Scopus21 WoS17
2024 Buchmann, R. A., Opdahl, A., & Grossmann, G. (2024). Guest editorial: On the convergence of enterprise modelling and knowledge graphs. Enterprise Modelling and Information Systems Architectures, 19(8), 1-4.
DOI
2023 Zamecnik, A., Kovanovíc, V., Joksimovíc, S., Grossmann, G., Ladjal, D., Marshall, R., & Pardo, A. (2023). Using online learner trace data to understand the cohesion of teams in higher education. Journal of Computer Assisted Learning, 39(6), 18 pages.
DOI Scopus7 WoS5
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 Zamecnik, A., Villa-Torrano, C., Kovanović, V., Grossmann, G., Joksimović, S., Dimitriadis, Y., & Pardo, A. (2022). The cohesion of small groups in technology-mediated learning environments: A systematic literature review. Educational Research Review, 35(100427), 1-22.
DOI Scopus21 WoS18
2022 Zamecnik, A., Kovanović, V., Grossmann, G., Joksimović, S., Jolliffe, G., Gibson, D., & Pardo, A. (2022). Team interactions with learning analytics dashboards. Computers and Education, 185(104514), 14 pages.
DOI Scopus31 WoS22
2022 Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2022). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216(article no. 119456), 1-21.
DOI Scopus527 WoS361
2021 Feng, Z., Mayer, W., He, K., Kwashie, S., Stumptner, M., Grossmann, G., . . . Huang, W. (2021). A schema-driven synthetic knowledge graph generation approach with extended graph differential dependencies (GDDxs). IEEE Access, 9(9311121), 5609-5639.
DOI Scopus14 WoS5
2021 Pika, A., ter Hofstede, A. H. M., Perrons, R. K., Grossmann, G., Stumptner, M., & Cooley, J. (2021). Using big data to improve safety performance: an application of process mining to enhance data visualisation. Big Data Research, 25(100210), 1-14.
DOI Scopus33 WoS16
2021 Lagerström, R., Grossmann, G., & Nurcan, S. (2021). Preface to the EDOC 2017/2018 Special Issue. Information Systems, 101(101802), 1.
DOI
2020 Grossmann, G., & Ram, S. (2020). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12584 LNCS, v-vi.
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 Scopus27 WoS27
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 Scopus29 WoS29
2016 Grossmann, G., & Rinderle-Ma, S. (2016). Guest Editorial: Enterprise Computing. International Journal of Cooperative Information Systems, 25(2), 2 pages.
DOI
2016 Atkinson, C., Grossmann, G., & Clark, T. (2016). Preface. Ceur Workshop Proceedings, 1722, 1-2.
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 Scopus39 WoS29
2015 Grossmann, G., Mafazi, S., Mayer, W., Schrefl, M., & Stumptner, M. (2015). Change propagation and conflict resolution for the co-evolution of business processes. International journal of cooperative information systems, 24(1), 1-38.
DOI Scopus12 WoS7
2015 Mafazi, S., Grossmann, G., Mayer, W. E., Schrefl, M., & Stumptner, M. (2015). Consistent abstraction of business processes based on constraints. Journal on Data Semantics, 4(1), 59-78.
DOI Scopus4 WoS3
2015 Ghose, A., & Grossmann, G. (2015). Message from the General Chairs. Proceedings IEEE International Enterprise Distributed Object Computing Workshop Edocw, 2015-November, viii-ix.
DOI
2015 Ghose, A., & Grossmann, G. (2015). Message from the EDOC 2015 General Chairs. Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations Edocw 2015, viii-ix.
DOI
2015 Atkinson, C., Grossmann, G., Kühne, T., & De Lara, J. (2015). Preface. Ceur Workshop Proceedings, 1505, 1-2.
Scopus1
2014 Flavio, F., Grossmann, G., Schewe, K. D., & Wang, Q. (2014). Conceptual modelling with specific focus on service-oriented systems. Journal of universal computer science, 20(3), 254-256.
2014 Ferrarotti, F., Grossmann, G., Schewe, K. D., & Wang, Q. (2014). Conceptual modelling with specific focus on service-oriented systems J.UCS special issue. Journal of Universal Computer Science, 20(3), 254-256.
2014 Grossmann, G., & Saeki, M. (2014). Preface. Conferences in Research and Practice in Information Technology Series, 154, vii-viii.
2014 Grossmann, G., & Rinderle-Ma, S. (2014). Message from the EDOC Program Co-Chairs. Proceedings IEEE 18th International Enterprise Distributed Object Computing Conference, 2014-December(December), xi.
DOI
2014 Atkinson, C., Grossmann, G., Kühne, T., & De Lara, J. (2014). Preface. Ceur Workshop Proceedings, 1286, 1.
2013 Grossmann, G., Schrefl, M., & Stumptner, M. (2013). Design for service compatibility. Software and Systems Modeling (SoSyM), 12(3), 489-515.
DOI Scopus5 WoS1
2013 Ferrarotti, F., & Grossmann, G. (2013). Preface. Conferences in Research and Practice in Information Technology Series, 143, vii.
2013 Grossmann, G., Schrefl, M., & Stumptner, M. (2013). Erratum to: Design for service compatibility: Behavioural compatibility checking and diagnosis (Softw Syst Model, 10.1007/s10270-012-0229-0). Software and Systems Modeling, 12(1), 221.
DOI
2012 Grossmann, G., Gaševic, D., & Van Den Heuvel, W. J. (2012). Message from the EDOC program co-chairs and workshops chair. Proceedings of the 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops Edocw 2012, 10.
DOI
2012 Gašević, D., Grossmann, G., Hallé, S., & Rosenberg, F. (2012). Message from the EVL-BP 2012 workshop co-chairs. Proceedings of the 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops Edocw 2012, xxiv-xxvi.
DOI
2011 Gasevic, D., Grossmann, G., & Halle, S. (2011). Dynamic and declarative business processes (DDBP), and vocabularies, ontologies and rules in the enterprise (VORTE). Journal of Research and Practice in Information Technology, 43(1), 1-4.
2011 Mayer, W., Stumptner, M., Killisperger, P., & Grossmann, G. (2011). A declarative framework for work process configuration. AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 25(2), 143-162.
DOI Scopus7 WoS4
2011 Grossmann, G., Chi, C. H., & Johnson, P. (2011). Message from the EDOC program co-chairs and workshops chair. Proceedings IEEE International Enterprise Distributed Object Computing Workshop Edoc, xi.
DOI
2011 Gašević, D., Grossmanny, G., Hallé, S., & Rosenberg, F. (2011). Message from the EVL-BP 2011Workshop Co-chairs. Proceedings IEEE International Enterprise Distributed Object Computing Workshop Edoc, 143-145.
DOI
2011 Gašević, D., Grossmann, G., & Hallé, S. (2011). Guest editorial: Dynamic and declarative business processes (DDBP), and vocabularies, ontologies and rules in the enterprise (VORTE). Journal of Research and Practice in Information Technology, 43(1), 1-4.
2010 Grossmann, G., Schrefl, M., & Stumptner, M. (2010). Modelling and enforcement of inter-process dependencies with business process modelling languages. Journal of research and practice in information technology, 42(4), 289-322.
Scopus5 WoS5
2010 Gašević, D., Grossmann, G., Hallé, S., & Rosenberg, F. (2010). Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC: Message from the DDPB 2010 workshop co-chairs. Proceedings IEEE International Enterprise Distributed Object Computing Workshop Edoc, xxiv-xxvii.
DOI
2007 Shen, J., Grossmann, G., Yang, Y., Stumptner, M., Schrefl, M., & Reiter, T. (2007). Analysis of business process integration in web service context. Future generation computer systems, 23(3), 283-294.
DOI Scopus49 WoS27
2005 Grossmann, G., Ren, Y., Schrefl, M., & Stumptner, M. (2005). Behaviour based integration of composite business processes. Lecture notes in computer science, 3649, 186-204.
DOI Scopus24 WoS17

Year Citation
2024 Grossmann, G., Beale, A., Singh, H., Smith, B., & Nichols, J. (2024). Enhanced material management: application of natural language processing and rule-based modelling for simplifying storage requirements in a museum. In J. Nichols, & B. Mehra (Eds.), Source details - Title: Data Curation and Information Systems Design from Australasia: Implications for Cataloguing of Vernacular Knowledge in Galleries, Libraries, Archives, and Museums (Vol. 54, pp. 41-55). UK: Emerald Publishing.
DOI Scopus1
2023 Dawoud, A., Mahala, G., Islam, C., Mayer, W., Ghose, A., Babar, M. A., . . . Grossmann, G. (2023). A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations. In C. Cabanillas, & F. Pérez (Eds.), Intelligent Information Systems (Vol. 477 LNBIP, pp. 77-85). Cham, Switzerland :: Springer International Publishing.
DOI
2020 Grossmann, G., & Ram, S. (2020). Preface - Advances in Conceptual Modeling: ER 2020 Workshops CMAI, CMLS, CMOMM4FAIR, CoMoNoS, EmpER. In Source details - Title: Advances in Conceptual Modeling: ER 2020 Workshops CMAI, CMLS, CMOMM4FAIR, CoMoNoS, EmpER (Lecture Notes in Computer Science 12584 ed.). US: Springer.
DOI
2019 Pika, A., ter Hofstede, A. H. M., Perrons, R. K., Grossmann, G., Stumptner, M., & Cooley, J. (2019). Analysing an industrial safety process through process mining: A case study. In Source details - Title: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies (pp. 491-500). Switzerland: Springer.
DOI Scopus4
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 Scopus6
2015 Jordan, A., Selway, M., Grossmann, G., Mayer, W., & Stumptner, M. (2015). Ontology-Based Process Modelling for Design. In Design Computing and Cognition 14 (pp. 551-569). Springer International Publishing.
DOI Scopus1
2011 Grossmann, G., Thiagarajan, R., Schrefl, M., & Stumptner, M. (2011). Conceptual modeling approaches for dynamic web service composition. In R. Kaschek, & L. Delcambre (Eds.), Source details - Title: The evolution of conceptual modeling (Vol. 6520, pp. 180-204). Germany: Springer.
DOI Scopus5 WoS4
2006 Grossmann, G., Schrefl, M., & Stumptner, M. (2006). Verification of business process integration options. In Source details - Title: International Conference on Business Process Management (BPM) (Vol. 4102 LNCS, pp. 432-438). Germany: Springer.
DOI
2004 Grossmann, G., Schrefl, M., & Stumptner, M. (2004). Classification of business process correspondences and associated integration operators. In Event/exhibition information: ER 2004 Workshops CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO, Shanghai, China, 08/11/2004 - 12/11/2004
Source details - Title: Conceptual Modeling for Advanced Application Domains (Vol. 3289, pp. 653-666). Germany: Springer-Verlag.
DOI Scopus10 WoS6

Year Citation
2026 Michael, J., Cleophas, L., Zschaler, S., Clark, T., Combemale, B., Godfrey, T., . . . Vangheluwe, H. (2026). About Opportunities and Challenges in Model-Driven Engineering for Digital Twins - (Extended Abstract). In Lecture Notes in Informatics Lni Proceedings Series of the Gesellschaft Fur Informatik Gi Vol. P-378 (pp. 155-156).
2025 Fu, Y., Grossmann, G., Kaur, K., Selway, M., & Stumptner, M. (2025). Conflict Management for Multi-Level Models in Collaborative Modelling Environments. In Proceedings 2025 ACM IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion Models C 2025 (pp. 502-511). MI, Grand Rapids: IEEE COMPUTER SOC.
DOI Scopus2 WoS1
2024 Gupta, G., Stanek, J., Mayer, W., & Grossmann, G. (2024). Adaptive semantic framework for CDSS to a new environment. In D. Abramson, S. Vassar, & C. Jin (Eds.), ACM International Conference Proceeding Series (pp. 75-77). US: ACM.
DOI Scopus3 WoS2
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 Scopus4 WoS4
2023 Zamecnik, A., Joksimovic, S., Kovanovic, V., Grossmann, G., Ladjal, D., & Pardo, A. (2023). Exploring the Feedback Provision of Mentors and Clients for Teams in Work-Integrated Learning Environments. In ACM International Conference Proceeding Series (pp. 566-571). US: ACM.
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 Scopus6 WoS6
2022 Hoang, T., Grossmann, G., Stanek, J., & Stumptner, M. (2022). Challenges in discovering patient journey processes. In ACM International Conference Proceeding Series (pp. 216-223). US: Association for Computing Machinery.
DOI Scopus2 WoS2
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) Vol. 13607 LNCS (pp. 397-412). Switzerland: Springer.
DOI Scopus4 WoS3
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 Scopus3
2021 Feng, Z. W., Xu, J. K., Mayer, W., Huang, W. Y., He, K. Q., Stumptner, M., . . . Ling, L. (2021). Automatic semantic modeling for structural data source with the prior knowledge from knowledge graph. In Proceedings 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 (pp. 2034-2041). US: IEEE.
DOI Scopus5
2021 Feng, Z., Mayer, W., Stumptner, M., Grossmann, G., Kwashie, S., Ning, D., & He, K. (2021). ASMaaS: automatic semantic modeling as a service. In N. Atukorala (Ed.), Proceedings - 2021 IEEE World Congress on Services, SERVICES 2021 (pp. 33-40). US: IEEE Computer Society Press.
DOI Scopus1
2019 Morgan, R., Grossmann, G., Schrefl, M., & Stumptner, M. (2019). A model-driven approach for visualisation processes. In ACM International Conference Proceeding Series (pp. 1-10). US: ACM Digital Library.
DOI Scopus6 WoS3
2019 Morgan, R., Grossmann, G., Stumptner, M., & Schrefl, M. (2019). Modelling the semantics for model-driven interactive visualizations. In Proceedings - 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference, EDOC 2019 (pp. 132-141). US: IEEE.
DOI
2018 Stumptner, M., Mayer, W., Grossmann, G., Liu, J., Li, W., Casanovas, P., . . . Bainbridge, B. (2018). An Architecture for Establishing Legal Semantic Workflows in the Context of Integrated Law Enforcement. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 10791 (pp. 124-139). Switzerland: Springer.
DOI Scopus5
2018 Feng, Z., Mayer, W., Stumptner, M., Grossmann, G., & Huang, W. (2018). Relationship matching of data sources: A graph-based approach. In Advanced information systems engineering Vol. 10816 LNCS (pp. 539-553). Estonia: Springer.
DOI Scopus2 WoS1
2018 Li, W., Feng, Z., Mayer, W., Grossmann, G., Kashefi, A. K., & Stumptner, M. (2018). FEDSA: A data federation platform for law enforcement management. In Proceedings - 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference, EDOC 2018 (pp. 21-27). US: IEEE.
DOI Scopus4 WoS3
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 WoS2
2018 Morgan, R., Grossmann, G., Schrefl, M., Stumptner, M., & Payne, T. (2018). VizDSL: A visual DSL for interactive information visualization. In J. Krogstie, & H. A. Reijers (Eds.), CAiSE 2018: Advanced information systems engineering Vol. 10816 LNCS (pp. 440-455). US: Springer.
DOI Scopus14 WoS10
2018 Morgan, R., Grossman, G., Schrefl, M., & Stumptner, M. (2018). Using VizDSL for modelling visualization processes. In Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW Vol. 2018-October (pp. 212-215). US: IEEE.
DOI Scopus1 WoS1
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 Scopus30 WoS25
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 Scopus2 WoS1
2018 Grossmann, G., Clark, T., Frank, U., & Kulkarni, V. (2018). Dynamic aspects of multi-level modelling. In Dagstuhl Seminar 17492 Multi-Level Modelling-Proceedings (pp. 35-41). Germany: Federal University of Espírito Santo.
2017 Burgstaller, F., Stabauer, M., Morgan, R., & Grossman, G. (2017). Towards customised visualisation of ontologies: state of the art and future applications for online polls analysis. In ACSW '17 Proceedings of the Australasian Computer Science Week Multiconference (pp. 1-10). US: ACM.
DOI Scopus2
2017 Morgan, R., Grossmann, G., & Stumptner, M. (2017). VizDSL: Towards a graphical visualisation language for enterprise systems interoperability. In International symposium on big data visual analytics, BDVA 2017 (pp. 1-8). US: IEEE.
DOI Scopus7
2017 Wondoh, J., Grossmann, G., & Stumptner, M. (2017). Dynamic temporal constraints in business processes. In ACM International Conference Proceeding Series (pp. 1-10). US: ACM Press.
DOI Scopus3
2017 Morgan, R., Grossmann, G., & Stumptner, M. (2017). VizDSL Towards a graphical visualisation language for enterprise systems interoperability. In 2017 INTERNATIONAL SYMPOSIUM ON BIG DATA VISUAL ANALYTICS (BDVA) (pp. 31-38). AUSTRALIA, Adelaide: IEEE.
WoS5
2017 Wondoh, J., Grossmann, G., & Stumptner, M. (2017). Contingency management for event-driven business processes. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 10573 LNCS (pp. 314-333). Springer International Publishing.
DOI Scopus1
2016 Wondoh, J., Grossmann, G., & Stumptner, M. (2016). Utilising bitemporal information for business process contingency management. In ACM International conference proceeding series Vol. 01-05-February-2016 (pp. 1-10). Australia: ACM - Association for Computing Machinery Inc.
DOI Scopus3
2016 Wondoh, J., Grossmann, G., & Stumptner, M. (2016). Propagation of event content modification in business processes. In Q. Z. Sheng (Ed.), Service-Oriented Computing: 14th International Conference, ICSOC 2016, Banff, AB, Canada, October 10-13, 2016, Proceedings Vol. 9936 LNCS (pp. 70-84). Switzerland: Springer.
DOI Scopus2
2016 Igamberdiev, M., Grossmann, G., & Stumptner, M. (2016). A feature-based categorization of multi-level modeling approaches and tools. In C. Atkinson, G. Grossmann, & T. Clark (Eds.), CEUR Workshop proceedings Vol. 1722 (pp. 35-44). Germany: Ruzica Piskac.
2016 Stabauer, M., Grossmann, G., & Stumptner, M. (2016). State of the art in knowledge extraction from online polls: a survey of current technologies. In ACSW '16 Proceedings of the Australasian Computer Science Week Multiconference Vol. 01-05-February-2016 (pp. 1-8). US: ACM.
DOI Scopus3
2016 Igamberdiev, M., Grossmann, G., & Stumptner, M. (2016). A feature-based categorization of multi-level modeling approaches and tools. In Ceur Workshop Proceedings Vol. 1722 (pp. 45-55).
Scopus14
2015 Kotamarthi, K., Wang, X., Grossmann, G., Sheng, Q., & Indrakanti, S. (2015). A Framework towards model driven business process compliance and monitoring. In Proceedings of the IEEE 19th International Enterprise Distributed Object Computing Workshop (EDOCW 2015) (pp. 24-32). Piscataway, NJ: IEEE.
DOI Scopus6 WoS5
2015 Igamberdiev, M., Grossman, G., & Stumptner, M. (2015). Verification of the CD2RDBMS transformation case in Flora-2. In M. Amrani, & E. Wimmer (Eds.), CEUR Workshop Proceedings Vol. 1530 (pp. 28-45). Germany: CEUR.
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 Vol. 9381 (pp. 287-301). New York: Springer.
DOI Scopus16 WoS10
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 Vol. 9415 (pp. 257-266). Switzerland: Springer International Publishing.
DOI
2015 Wondoh, J., Grossmann, G., Gasevic, D., Reichert, M., Schrefl, M., & Stumptner, M. (2015). Bitemporal support for business process contingency management. In International conference on conceptual modeling: advances in conceptual modeling Vol. 9382 (pp. 109-118). US: Springer.
DOI Scopus6 WoS3
2015 Igamberdiev, M., Grossmann, G., & Stumptner, M. (2015). Simplification and verification of software and data structure models in the engineering domain. In Proceedings - 2015 24th Australasian Software Engineering Conference, ASWEC 2015 (pp. 138-147). US: IEEE.
DOI
2015 Governatori, G., Grossmann, G., & Kolb, J. (2015). Message from the EVL-BP 2015Workshop Co-Chairs. In Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations Edocw 2015 (pp. 1-3). AUSTRALIA, Adelaide: IEEE.
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.
DOI Scopus2 WoS1
2014 Mafazi, S., Grossmann, G., Mayer, W., & Stumptner, M. (2014). Towards a reference architecture for the co-evolution of business processes. In 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW) (pp. 389-396). US: IEEE.
DOI Scopus4
2014 Igamberdiev, M., Grossmann, G., & Stumptner, M. (2014). An implementation of multi-level modelling in F-Logic. In C. Atkinson (Ed.), Proceedings of the Workshop on Multi-Level Modelling co-located with ACM/IEEE 17th International Conference on Model Driven Engineering Languages & Systems (MoDELS 2014) Vol. 1286 (pp. 33-42). Germany: RWTH Aachen.
Scopus8
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) Vol. 267 (pp. 358-371). US: IOS Press.
DOI Scopus2
2014 Igamberdiev, M., Grossmann, G., Jordan, A., & Stumptner, M. (2014). Model transformation for the digital handover of engineering design documents. In ICMT 2014. Germany: Springer.
2013 Mafazi, S., Grossmann, G., Mayer, W., & Stumptner, M. (2013). On-the-Fly Change Propagation for the Co-evolution of Business Processes. In R. Meersman, H. Panetto, T. Dillon, J. Eder, Z. Bellahsene, N. Ritter, . . . D. Dou (Eds.), ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2013 CONFERENCES Vol. 8185 (pp. 75-93). Germany: SPRINGER-VERLAG BERLIN.
DOI Scopus11 WoS7
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 Scopus5 WoS4
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 Scopus5
2013 Mayer, W., Stumptner, M., Grossmann, G., & Jordan, A. (2013). Semantic interoperability in the oil and gas industry: a challenging testbed for semantic technologies. In 2013 AAAI fall symposium series: semantics for big data: AAAI technical report FS-13-04 Vol. FS-13-04 (pp. 40-43). US: Association for the Advancement of Artificial Intelligence.
Scopus4
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 Scopus10
2012 Mafazi, S., Mayer, W., Grossmann, G., & Stumptner, M. (2012). A knowledge-based approach to the configuration of business process model abstractions. In A. H. M. Hofstede (Ed.), Knowledge-intensive business processes: 1st International Workshop, KiBP 2012: proceedings Vol. 861 (pp. 60-74). Italy: The editors.
Scopus4
2011 Boskovic, M., Bagheri, E., Grossmann, G., Gasevic, D., & Stumptner, M. (2011). Towards integration of semantically enabled service families in the cloud. In Proceedings of the 3rd Canadian Semantic Web Symposium (CSWS2011) Vol. 774 (pp. 58-69). Germany: CEUR.
Scopus3
2011 Grossmann, G., Schrefl, M., & Stumptner, M. (2011). A model-driven framework for runtime adaptation of web service compositions. In SEAMS'11 proceedings of the 6th international symposium on software engineering for adaptive and self-managing systems (pp. 184-189). US: Association for Computing Machinery.
DOI Scopus3
2011 Grossmann, G., Quirchmayr, G., & Stumptner, M. (2011). An architectural concept for the CIEAM enterprise bus. In Engineering asset management and infrastructure sustainability: proceedings of the 5th world congress on engineering asset management (pp. 251-261). UK: Springer.
DOI
2010 Killisperger, P. S., Stumptner, M., Peters, G., Grossmann, G., & Stuckl, T. (2010). A framework for the flexible instantiation of large scale software process tailoring. In J. Munch, Y. Yang, & W. Schafer (Eds.), New Modeling Concepts for Today’s Software Processes: International Conference on Software Process, ICSP 2010 Vol. 6195 LNCS (pp. 100-111). Germany: Springer-Verlag Berlin, Heidelberg.
DOI Scopus3 WoS2
2010 Berger, S., Grossmann, G., Stumptner, M., & Schrefl, M. (2010). Metamodel-based information integration at industrial scale. In P. Petriu, & D. C (Eds.), Proceedings of the 13th international conference on model driven engineering languages and systems Vol. 6395 LNCS (pp. 153-167). Berlin: Springer.
DOI Scopus17 WoS12
2010 Grossmann, G., Schrefl, M., & Stumptner, M. (2010). Model driven orchestration : design for service compatibility. In P. Petriu, & D. C (Eds.), Proceedings of the 13th international conference model driven engineering languages and systems Vol. 6395 LNCS (pp. 17-31). Berlin: Springer.
DOI Scopus2 WoS1
2010 Gasevic, D., Grossmann, G., & Halle, S. (2010). Dynamic and declarative business processes: Editorial. In Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOC (pp. 1-4). NEW ZEALAND, Auckland: IEEE.
DOI Scopus1 WoS9
2010 Grossmann, G., Stumptner, M., Mayer, W. E., & Barlow, M. (2010). A service oriented architecture for data integration in asset management. In K. Dimitris (Ed.), Engineering Asset Lifecycle Management - Proceedings of the 4th World Congress on Engineering Asset Management, WCEAM 2009 (pp. 785-795). UK: Springer.
DOI Scopus2
2010 Grossmann, G., Schrefl, M., & Stumptner, M. (2010). A conceptual modeling approach for web service composition supporting service re-configuration. In S. Link (Ed.), Proceedings of the 7th Asia-Pacific Conference on Conceptual Modelling Vol. 110 (pp. 43-52). Australia: Australian Computer Society.
Scopus5 WoS2
2010 Kew, M. S., Ferris, T. L. J., Grossmann, G., & Stumptner, M. (2010). Enhancing event driven architectures with event-bus types. In Papers from the Australian Software Engineering Conference (pp. 67-76). New Zealand: ASWEC.
2009 Killisperger, P. S., Stumptner, M., Peters, G., Grossmann, G., & Stuckl, T. (2009). Meta model based architecture for software process instantiation. In W. Wang, & Q. Q (Eds.), Trustworthy software development processes - lecture notes in computer science Vol. 5543 LNCS (pp. 63-74). Berlin, Heidelberg: Springer Verlag.
DOI Scopus9 WoS5
2008 Grossmann, G., Schrefl, M., & Stumptner, M. (2008). Modelling inter-process dependencies with high-level business process modelling languages. In Proceedings of the 5th Asia-Pacific conference on conceptual modelling , APCCM. Conceptual modelling 2008 Vol. 79 (pp. 89-102). Australia: Australian Computer Society.
Scopus10
2007 Grossmann, G., Schrefl, M., & Stumptner, M. (2007). Exploiting semantics of inter-process dependencies to instantiate predefined integration patterns. In 26th International Conference on Conceptual Modeling (ER 2007). Australia: Australian Computer Society.
2006 Grossmann, G., Schrefl, M., & Stumptner, M. (2006). A Framework for the Behavior Based Integration of Business Processes. In Proceedings of the CEUR Workshop Vol. 231 (pp. 27-30). Luxembourg: University of Luxembourg.
2006 Grossmann, G., Schrefl, M., & Stumptner, M. (2006). A framework for the behavior based integration of business processes. In Proceedings of the 18th International Forum on Advanced Information Systems Engineering. Luxembourg: University of Luxembourg.
2005 Grossmann, G., Ren, Y., Schrefl, M., & Stumptner, M. (2005). Definition of Business Process Integration Operators for Generalization. In Proceedings of the International Conference on Enterprise Information Systems (ICEIS) (pp. 510-517).
Scopus3
2004 Stumptner, M., Schrefl, M., & Grossmann, G. (2004). On the road to behavior-based integration. In First Asia-Pacific Conference on Conceptual Modelling 2004: Australian Computer Science Communications, Volume 26, Number 6. Sydney, NSW, Australia: Australian Computer Society Inc.

Year Citation
2014 Grossmann, G., Stumptner, M., & Schrefl, M. (2014). 120160132838, Method and system for information integration in industrial systems.

Year Citation
2025 Eckert, M., Sharplin, G., Mayer, W., Grossmann, G., Stanek, J., Gupta, G., . . . Marlow, N. (2025). An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study (Preprint).
DOI
  • STEM-132: AI Supported Sustainable Standards-Based Interoperability PhD Truong Giang Vu, Future Energy Exports CRC Limited, 15/10/2024 - 22/04/2032
  • Enhancing Asset Reliability and Risk Interoperability for Scale and Sparse Reliability Data, Future Energy Exports CRC Limited, 06/10/2025 - 17/10/2027
  • FEnEx CRC Project Zero - 20.RP0.001, Future Energy Exports CRC Limited, 01/12/2020 - 31/12/2026
  • FEnEx 20.RP3.0048: Open Specification for Analytics Interoperability, Future Energy Exports CRC Limited, 01/04/2021 - 30/06/2026
  • 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
  • DHCRC-0156: A Predictive Harm Response Management algorithmic tool to reduce adverse events in healthcare setting, Digital Health CRC, 20/07/2021 - 31/12/2025
  • Int Policing: Entity Linking & Resolution, D2D CRC Limited, 01/01/2016 - 31/12/2019
  • Techniques of Generating Behavioral Models for Constructive Combat Simulations, Cwth Dept of Defence, 01/09/2016 - 30/05/2017

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Principal Supervisor An end-to-end GenAI-driven system for domain modelling and code generation Master of Research (Computer and Info Sci) Master Full Time Ms Ying Zhu
2025 Co-Supervisor A data driven framework for predicting readmission risk in adults with multimorbidity Doctor of Philosophy Doctorate Full Time Dr Pathirage Perera
2023 Co-Supervisor Ontological Enrichment of Data Standards for Digital Twin Management  Doctor of Philosophy Doctorate Full Time Jutiporn On-Ngam
2023 Co-Supervisor Hybrid clinical decision support system in health care Doctor of Philosophy Doctorate Full Time Mr Gourav Gupta
2022 Co-Supervisor Enhanced risk interoperability in digital twin modelling Doctor of Philosophy Doctorate Part Time Yuhong Fu
2022 Co-Supervisor A framework for natural language communication with uninhabited aerial vehicles in air traffic management Doctor of Philosophy Doctorate Full Time Miss Aradhika Guha

Date Role Research Topic Program Degree Type Student Load Student Name
2019 - 2023 Co-Supervisor The measurement and analysis of team cohesion in technology-mediated environments using learning analytics Doctor of Philosophy Doctorate Full Time Mr Andrew Zamecnik
2017 - 2022 Principal Supervisor VizDSL: a visual Domain Specific Language for modelling visualisation processes Doctor of Philosophy Doctorate Part Time Ms Rebecca Morgan
2014 - 2018 Co-Supervisor Event and temporal constraint management in dynamic business environments Doctor of Philosophy Doctorate Full Time Mr John Wondoh
2013 - 2018 Co-Supervisor An integrated multi-level modelling and verification framework for data interoperability Doctor of Philosophy Doctorate Full Time Mr Muzaffar Igamberdiev
2011 - 2016 Co-Supervisor A conceptual framework for the consistent management of process views Doctor of Philosophy Doctorate Part Time Ms Shamila Mafazi

Date Role Board name Institution name Country
2015 - ongoing Advisory Board Member Steering Committee EDOC International Conference EDOC -

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