Water Quality Anomaly Detection Team
- Rob Hyndman, Monash*
- Catherine Leigh, RMIT*
- Erin Peterson, past QUT, now private consulting*
- Edgar Santos-Fernandez, QUT*
- Puwasala Gamakumara, Monash*
- Claire Kermorvant, University of Pau et des Pays de l'Adour
- Kerrie Mengersen, QUT*
- James McGree, QUT*
- Kate Smith-Miles, UoM*
- Benoit Liquet, University of Pau et des Pays de l'Adour, Macquarie University*
- Sevvandi Kandanaarachchi, RMIT*
- Priyanga Dilini Talagala, University of Moratuwa, Sri Lanka*
- Javier Rodriguez-Perez, University of Pau et des Pays de l'Adour
- Jay ver Hoef, Alaska Fisheries Science Center of NOAA Fisheries, U.S. Dept. of Commerce
*current ACEMS member (and pictured)
The team is a stellar example of engagement between researchers across ACEMS nodes, ACEMS AIs in other universities, collaborators in other countries and industry affiliates. The team includes ACEMS CIs, AIs and early career researchers in mathematical and statistical modelling, computation, time series and ecology. This project focuses on the issue of detecting anomalies in high-dimensional streaming data obtained from new data sources, namely in-situ water quality monitors. The outputs will be important in the immediate area of water quality monitoring, and also in the wider research field of high-dimensional anomaly detection.
** The Impact and Engagement Award acknowledges and celebrates ACEMS members who actively engage in the translation of their research findings/outputs/insights to applications, use and uptake outside of academia. This award recognises research interactions with industry, government, non-governmental organisations, communities and community organisations, and research contributions to the economy, society and environment.