Karamjit Kaur

Research Interests

Artificial Intelligence Building information modelling and management Complex systems Conceptual Modelling Cyberphysical systems and internet of things Data models, storage and indexing Digital health Distributed computing and systems software Energy transformation Health informatics and information systems Information modelling, management and ontologies Infrastructure engineering and asset management Inter-organisational, extra-organisational and global information systems Knowledge and information management

Dr Karamjit Kaur

Lecturer

School of Computer Science and Information Technology

College of Engineering and Information Technology

Available For Media Comment.

Dr Karamjit Kaur’s expertise lies in the areas of industrial interoperability, digital twins, Industry 4.0, asset life cycle management and condition-based maintenance in the asset-intensive industries such as Oil & Gas industry. She was an FEnEx CRC Foundation Fellow where she shared the responsibility to deliver Commonwealth milestones of FEnEx CRC within the Digital Technologies & Interoperability theme, in addition to working on other industry-driven projects funded through FEnEx CRC.
In her role as research fellow in the Industrial AI Research Centre at UniSA, she has been actively involved in various projects related to achieving standards based interoperability in the Industry 4.0 systems and achieving digital transformation through delivery of digital twins for asset management throughout the lifecycle.
Karamjit obtained her Bachelors, Masters and PhD in Computer Science from Thapar University, India. She completed her PhD in 2015 on the topic “A Novel Framework for Querying Multi-paradigm Databases”. She has successfully supervised research thesis of 11 Masters and 2 PhD students. In addition to research, Karamjit has been involved in teaching wide range of courses related to computers science and engineering since 2009. Currently, she is tutor, practical supervisor and course coordinator of multiple courses that are taught as part of Bachelors and Masters of Information Technology at UniSA.
She has received various research and travel grants such as Google Global scholarship for presenting her research work at GHC twice, International Travel Scheme for Young Scientist from DST, India.

Date Position Institution name
2023 - ongoing Lecturer University of South Australia
2021 - 2022 Foundation Fellow, FEnEx CRC University of South Australia
2017 - 2020 Research Fellow, Big Data Ecosystems University of South Australia
2009 - 2017 Assistant Professor Thapar University
2008 - 2009 Subject Matter Expert Amdocs (India)

Date Institution name Country Title
2011 - 2015 Thapar University India PhD
2006 - 2008 Thapar University India Masters of Engineering
2002 - 2006 Punjab Technical University India Bachelor of Technology

Year Citation
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
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 Bhushan, M., Goel, S., & Kaur, K. (2018). Analyzing inconsistencies in software product lines using an ontological rule-based approach. Journal of systems and software, 137, 605-617.
DOI
2016 Kaur, S., & Kaur, K. (2016). Visualizing class diagram using Orientdb NOSQL data - store. International journal of computer applications, 145(10), 11-15.
DOI
2016 Kaur, K., & Rani, R. (2016). Multi-model persistent solution for healthcare big data. Journal of medical imaging and health informatics, 6(4), 937-947.
DOI
2015 Ramesh, S., Surti, N., & Kaur, K. (2015). A rare case of ovarian ectopic pregnancy with intrauterine device in situ managed laparoscopically. Journal of gynecologic surgery, 31(5), 280-282.
DOI
2015 Kaur, K., & Rani, R. (2015). A smart polyglot solution for big data in healthcare. IT professional, 17(6), 48-55.
DOI
2015 Kaur, K., & Rani, R. (2015). Managing data in healthcare information systems: many models, one solution. Computer, 48(3), 52-59.
DOI
2014 Hazim, D., & Kaur, K. (2014). Comparative analysis of MySQL and MongoDB: a case study of hospital management system. International journal of computer technology and applications, 5(4), 1515-1526.
2014 Singh, S., & Kaur, K. (2014). Comparative analysis of ECC and RSA for document-oriented database MongoDB. International journal of computer technology and applications, 5(4), 1555-1560.
2012 Kaur, T., & Verma, A. K. (2012). Simulation and Analysis of AODV routing protocol in VANETs. International journal of soft computing and engineering, 2(3), 293-301.
2010 Ghai, M., Kaur Cheema, K., & Chopra, V. (2010). Design and reliability analysis of new fault-tolerant irregular multistage interconnection network. International journal of computer applications, 1(1), 1-5.
DOI
2010 Kaur Cheema, K., & Aggarwal, R. (2010). Design scheme and performance evaluation of a new fault-tolerant multistage interconnection network. International Journal of Computer Science and Network Security, 9(9), 270-276.
2010 Ghai, M., Chopra, V., & Kaur Cheema, K. (2010). Performance analysis of fault-tolerant irregular baseline multistage interconnection network. International journal on computer science and engineering, 2(9), 3079-3084.

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 Evans, N., Kaur, K., & Fernando, A. (2023). Developing industry-ready business analysts: guiding principles for effective Assessment for Learning (AfL) in a BPM Course. In Business Process Management: Blockchain, Robotic Process Automation and Educators Forum (pp. 230-239). Switzerland: Springer.
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 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
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
2017 Megha., Negi, A., & Kaur, K. (2017). Method to resolve software product line errors. In S. Kaushik (Ed.), Information, Communication and Computing Technology: Second International Conference, ICICCT 2017, New Delhi, India, May 13, 2017, Revised Selected Papers (pp. 258-268). Singapore: Springer Singapore.
DOI
2017 Kaur, K., & Vaish, A. (2017). Performance evaluation of hybrid saturation weighting and colorcat based color constancy. In IEEE International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 (pp. 224-228). US: IEEE.
DOI
2016 Kaushik, D., & Kaur, K. (2016). Application of Data Mining for high accuracy prediction of breast tissue biopsy results. In 2016 3rd International Conference on Digital Information Processing, Data Mining, and Wireless Communications, DIPDMWC 2016 (pp. 40-45). US: IEEE.
DOI
2015 Garg, B., & Kaur, K. (2015). Integration of heterogeneous databases. In 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA (pp. 1033-1038). US: IEEE.
DOI
2015 Singh, M., & Kaur, K. (2015). SQL2Neo: moving health-care data from relational to graph databases. In Souvenir of the 2015 IEEE International Advance Computing Conference, IACC (pp. 721-725). US: IEEE.
DOI
2013 Kaur, K., & Rani, R. (2013). Modeling and querying data in NoSQL databases. In IEEE International Conference on Big Data, Big Data 2013 (pp. 1-7). US: IEEE.
DOI

  • STEM-132: AI Supported Sustainable Standards-Based Interoperability PhD Truong Giang Vu, Future Energy Exports CRC Limited, 15/10/2024 - 22/04/2032

  • 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

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