PhD (Queensland University of Technology)
Kanika is a lecturer in the School of Information Systems at Queensland University of Technology. She has a computer science background and completed her PhD in the area of Business Process Management. She coordinates continuing professional education program for Business Process Management (BPM) units, which provides BPM education to industry professionals. She is a Lean Six Sigma (LSS) green belt certified trainer and delivers LSS training. Kanika is also the coordinator of BIT Honours (IN10) and Masters of Philosophy (IN80).
Kanika' s research interests include process-oriented data analytics, data governance, data quality, and process management. She has published work in high quality journals and top AIS conferences. Since completing her PhD, Kanika has been involved in and has led a number of industry funded projects in areas related to her research interests. She has worked with several industries such as health, retail, asset management, equipment sales and manufacturing, and education. Kanika has over 9 years of teaching experience and has worked as a lecturer at multiple universities. At QUT, Kanika is a unit coordinator and lecturer of Business Process Technologies and Modern Data Management. She is also a Fellow of the Higher Education Academy (FHEA).
Kanika is passionate about applied industry projects. She has led and has been involved in several industry projects in areas of data quality, data governance, process mining, data mining, and process management.
- Reference year
- Vice-Chancellor's Award for Excellence - 2019 (in a group)Category: Innovation and creative practice excellenceThe award was granted for the impactful and innovative partnership between Research Management Systems Upgrade and Business Process Management that supported high quality research for implementing systems for researchers and research administration.
- Goel, K., Bandara, W. & Gable, G. (2021). A Typology of Business Process Standardization Strategies. Business and Information Systems Engineering, 63(6), 621–635. https://eprints.qut.edu.au/208304
- Martin, N., Fischer, D., Kerpedzhiev, G., Goel, K., Leemans, S., Röglinger, M., van der Aalst, W., Dumas, M., La Rosa, M. & Wynn, M. (2021). Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Business and Information Systems Engineering, 63(5), 511–527. https://eprints.qut.edu.au/214249
- Goel, K. & ter Hofstede, A. (2021). Privacy-Breaching Patterns in NoSQL Databases. IEEE Access, 9, 35229–35239. https://eprints.qut.edu.au/208330
- Goel, K., Sindhgatta Rajan, R., Ilavarasan, V. & Kumar Kar, A. (2021). Building a Knowledge Society: Learnings from a Digital Literacy Program. Proceedings of the Twenty-Ninth European Conference on Information Systems (ECIS 2021). https://eprints.qut.edu.au/210142
- Goel, K., Emamjome, F. & ter Hofstede, A. (2021). Data Governance for Managing Data Quality in Process Mining. Proceedings of the 42nd International Conference on Information Systems (ICIS 2021). https://eprints.qut.edu.au/226279
- Fischer, D., Goel, K., Andrews, R., van Dun, C., Wynn, M. & Roglinger, M. (2020). Enhancing event log quality: Detecting and quantifying timestamp imperfections. Business Process Management: 18th International Conference, BPM 2020 Proceedings, 309–326. https://eprints.qut.edu.au/203443
- Wurm, B., Goel, K., Bandara, W. & Rosemann, M. (2019). Design patterns for business process individualization. Business Process Management: 17th International Conference, BPM 2019, Proceedings (Lecture Notes in Computer Science, Volume 11675), 370–385. https://eprints.qut.edu.au/130599
- Gibson, J., Goel, K., Barnes, J. & Bandara, W. (2019). Towards a process reference model for research management: An action design research effort at an Australian university. Business Process Management: 17th International Conference, BPM 2019, Proceedings (Lecture Notes in Computer Science, Volume 11675), 338–353. https://eprints.qut.edu.au/130629