Find Mythreyi Velmurugan on
Mythreyi Velmurugan's full profile and contact information are available on:
PhD (Queensland University of Technology)
I am passionate about responsible data science and addressing real-world challenges using data. My research interests lie at the intersection of data analytics and process science, with a focus on leveraging data to drive meaningful impact. I completed my PhD thesis on the use of existing Explainable AI (XAI) techniques for tabular data, contributing to the promotion of transparency in machine learning and AI technologies.
Additional information
- Velmurugan, M., Ouyang, C., Moreira, C. & Sindhgatta Rajan, R. (2021). Evaluating Fidelity of Explainable Methods for Predictive Process Analytics. Intelligent Information Systems: CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings, 64–72. https://eprints.qut.edu.au/211176
- Velmurugan, M., Ouyang, C., Pinto Moreira, C. & Sindhgatta, R. (2021). Evaluating Stability of Post-hoc Explanations for Business Process Predictions. Service-Oriented Computing: 19th International Conference, ICSOC 2021, Virtual Event, November 22-25, 2021, Proceedings, 49–64. https://eprints.qut.edu.au/214090
- Velmurugan, M., Watson, J., Obst, T. & Ouyang, C. (2022). Supporting carers in online role-diverse communities: A case study in Australia. Health and Social Care in the Community, 30(6). https://eprints.qut.edu.au/235272
- Velmurugan, M., Ouyang, C., Sindhgatta, R. & Pinto Moreira, C. (2023). Through the looking glass: Evaluating post hoc explanations using transparent models. International Journal of Data Science and Analytics. https://eprints.qut.edu.au/243164
- Velmurugan, M., Watson, J. & Bruce, C. (2017). Online peer-to-peer sobriety support: a conceptualization of the peer to peer social support mechanisms in an online 'Stop Drinking' community. Proceedings of the 28th Australasian Conference on Information Systems, 1–11. https://eprints.qut.edu.au/128683