Karamjit Kaur
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Karamjit Kaur has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Markus Stumptner
University of South Australia
8 shared publications - Matt Selway
University of South Australia
8 shared publications Rinkle Rani
4 shared publications- Georg Grossmann
Adelaide University, Adelaide, Australia
3 shared publications - Robert Doe
University of South Australia
3 shared publications - Yuhong Fu
Industrial AI Research Centre, University of South Australia, Mawson Lakes, SA, Australia
2 shared publications
Latest Publications
- Open Access
- 1 October 2026
- Published by Elsevier in Journal of Industrial Information Integration
- Vol. 54
Towards a reliability-aware virtual sensor framework for smart water infrastructure: An offline residual-based change-point analysis
- 1 October 2026
- Published by Elsevier in Journal of Industrial Information Integration
- Vol. 54
Open AccessTowards a reliability-aware virtual sensor framework for smart water infrastructure: An offline residual-based change-point analysis
- Open Access
- 30 June 2026
- Published by Elsevier in Information and Software Technology
- Vol. 198
Handling conflicts in consistency management of multi-level models in collaborative Digital Twins modelling environments
- 30 June 2026
- Published by Elsevier in Information and Software Technology
- Vol. 198
Open AccessHandling conflicts in consistency management of multi-level models in collaborative Digital Twins modelling environments
- Open Access
- 19 February 2026
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 31 (6) , 129-148
A CDE ecosystem for the architecture, engineering & construction (AECO) sector
Building Information Modelling (BIM) workflows are increasingly managed by multiple Common Data Environments (CDE) which effectively comprise distributed sources of truth. However, interoperability of the AECO ecosystem is constrained by normative contractual relationships and by technical incompatibilities between systems and applications. Our aim is to improve interoperability in the AECO sector by introducing a system of systems (SoS) approach - a CDE ecosystem that combines standards-based messaging services with API adapters to enable object-based exchanges of information. Our research design has evolved over the past five years through literature reviews, fieldwork with industry partners, and implementation of a proof-of-concept CDE ecosystem. Engagement with AECO industry partners GHD and DBM Vircon focused research design and helped refine the research question. This paper also leverages prior research by the authors to improve interoperability in the process industry. CDE ecosystem benefits which support the AECO sector's complex interactions and distributed organisational workflows include: vendor-agnosticism, allowing organisations to choose their preferred or specialised software tools; fine-grained transactions, which anticipate IFC5 inter-sector (buildings and infrastructure) interoperability; connectivity across multiple systems; event-driven, timely and reliable, many-to-many messaging services.
- 19 February 2026
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 31 (6) , 129-148
Open AccessA CDE ecosystem for the architecture, engineering & construction (AECO) sector
Building Information Modelling (BIM) workflows are increasingly managed by multiple Common Data Environments (CDE) which effectively comprise distributed sources of truth. However, interoperability of the AECO ecosystem is constrained by normative contractual relationships and by technical incompatibilities between systems and applications. Our aim is to improve interoperability in the AECO sector by introducing a system of systems (SoS) approach - a CDE ecosystem that combines standards-based messaging services with API adapters to enable object-based exchanges of information. Our research design has evolved over the past five years through literature reviews, fieldwork with industry partners, and implementation of a proof-of-concept CDE ecosystem. Engagement with AECO industry partners GHD and DBM Vircon focused research design and helped refine the research question. This paper also leverages prior research by the authors to improve interoperability in the process industry. CDE ecosystem benefits which support the AECO sector's complex interactions and distributed organisational workflows include: vendor-agnosticism, allowing organisations to choose their preferred or specialised software tools; fine-grained transactions, which anticipate IFC5 inter-sector (buildings and infrastructure) interoperability; connectivity across multiple systems; event-driven, timely and reliable, many-to-many messaging services.
- Open Access
- 22 September 2024
- Published by Association for Computing Machinery (ACM)
- p. 828-837
Modelling a Warehouse with SLICER: A Contribution to the MULTI Warehouse Challenge
In this paper we apply the SLICER multi-level modelling framework on the MULTI 2024 Warehouse Challenge. SLICER was first introduced at the ER 2015 conference[17] and formally specified in [18]. It has been implemented in an object-oriented knowledge representation and reasoning system and the framework identifies additional semantic subcategories for the traditional object-oriented relationship types and uses these distinctions for a new style of formal characterisation of level relationships. The framework is executable via its implementation in a dynamic metamodeling and object logic environment. We first introduce SLICER, then describe its application on the Warehouse Challenge requirements and then discuss the advantages of the SLICER representation.
- 22 September 2024
- Published by Association for Computing Machinery (ACM)
- p. 828-837
Open AccessModelling a Warehouse with SLICER: A Contribution to the MULTI Warehouse Challenge
In this paper we apply the SLICER multi-level modelling framework on the MULTI 2024 Warehouse Challenge. SLICER was first introduced at the ER 2015 conference[17] and formally specified in [18]. It has been implemented in an object-oriented knowledge representation and reasoning system and the framework identifies additional semantic subcategories for the traditional object-oriented relationship types and uses these distinctions for a new style of formal characterisation of level relationships. The framework is executable via its implementation in a dynamic metamodeling and object logic environment. We first introduce SLICER, then describe its application on the Warehouse Challenge requirements and then discuss the advantages of the SLICER representation.
- Open Access
- 26 April 2024
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 29 (17) , 347-376
Ecosystem interoperability for the architecture, engineering, construction & operations (AECO) sector
Substandard performance between information systems and applications remains a problem for the Architecture, Engineering, Construction, and Operations (AECO) sector leading to significant economic, social and environmental costs. The sector suffers from poor interoperability because it lacks a holistic ecosystem for exchanging data and information. Through qualitative research involving AECO sector industry partners’ views and opinions, this research extends understanding of issues which affect ecosystem interoperability in the AECO sector. Research questions guided a literature review, survey, semi-structured interview, focus group meeting, and interpretation of the results. The authors believe that incorporating AECO sector industry partners' views is essential for meaningful proposals to emerge. Open questions asked of industry partners received candid responses and confirmed key issues including: the need for the Industry Foundation Class (IFC) to be fully interoperable; the side effects and impacts of vendor lock-in; integration problems caused by multiple Common Data Environments (CDEs); handover data and information challenges; the impacts of poor interoperability on sustainable development. Through engagement with industry this research offers better understanding of interoperability challenges in the AECO sector and has generated more meaningful actions and solutions capable of improving the sector’s data and information ecosystem.
- 26 April 2024
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 29 (17) , 347-376
Open AccessEcosystem interoperability for the architecture, engineering, construction & operations (AECO) sector
Substandard performance between information systems and applications remains a problem for the Architecture, Engineering, Construction, and Operations (AECO) sector leading to significant economic, social and environmental costs. The sector suffers from poor interoperability because it lacks a holistic ecosystem for exchanging data and information. Through qualitative research involving AECO sector industry partners’ views and opinions, this research extends understanding of issues which affect ecosystem interoperability in the AECO sector. Research questions guided a literature review, survey, semi-structured interview, focus group meeting, and interpretation of the results. The authors believe that incorporating AECO sector industry partners' views is essential for meaningful proposals to emerge. Open questions asked of industry partners received candid responses and confirmed key issues including: the need for the Industry Foundation Class (IFC) to be fully interoperable; the side effects and impacts of vendor lock-in; integration problems caused by multiple Common Data Environments (CDEs); handover data and information challenges; the impacts of poor interoperability on sustainable development. Through engagement with industry this research offers better understanding of interoperability challenges in the AECO sector and has generated more meaningful actions and solutions capable of improving the sector’s data and information ecosystem.
- 4 September 2023
- Published by Springer Nature
- p. 230-239
Developing Industry-Ready Business Analysts: Guiding Principles for Effective Assessment for Learning (AfL) in a BPM Course
- 4 September 2023
- Published by Springer Nature
- p. 230-239
Developing Industry-Ready Business Analysts: Guiding Principles for Effective Assessment for Learning (AfL) in a BPM Course
- 16 February 2023
- Published by Springer Nature
- p. 726-735
Standards-Based Interoperable Digital Twin in Industry 4.0 – A Pilot Demonstration
- 16 February 2023
- Published by Springer Nature
- p. 726-735
Standards-Based Interoperable Digital Twin in Industry 4.0 – A Pilot Demonstration
- Open Access
- 19 April 2022
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 27 (16) , 312-334
Interoperability in AECO and the oil & gas sectors: object-based standards and systems
Journal of Information Technology in Construction
- 19 April 2022
- Published by International Council for Research and Innovation in Building and Construction in Journal of Information Technology in Construction
- Vol. 27 (16) , 312-334
Open AccessInteroperability in AECO and the oil & gas sectors: object-based standards and systems
Journal of Information Technology in Construction
- Open Access
- 15 October 2018
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Towards an open-standards based framework for achieving condition-based predictive maintenance
- 15 October 2018
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessTowards an open-standards based framework for achieving condition-based predictive maintenance
- 1 March 2018
- Published by Elsevier in Journal of Systems and Software
- Vol. 137, 605-617
Analyzing inconsistencies in software product lines using an ontological rule-based approach
- 1 March 2018
- Published by Elsevier in Journal of Systems and Software
- Vol. 137, 605-617
Analyzing inconsistencies in software product lines using an ontological rule-based approach