Discovery Early Career Researcher Award - Grant ID: DE150100104

Funding Activity

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Funded Activity Summary

Towards transforming data streams into real-time knowledge. This project aims to address a key problem of interpreting and providing meaningful information in real-time from large volumes of multivariate, noisy and incomplete data in fine-scale monitoring applications. Specifically, it targets air quality monitoring within a workplace. The project aims to significantly advance the current models for online data clustering and real-time anomaly detection in streaming data. The project aims to produce computational models for the two aforementioned tasks and a complete system prototype for indoor air quality monitoring. This system has major health benefits for workers and the showcased computational models have various industrial potentials with significant socio-economic benefits to Australia.

Funded Activity Details

Start Date: 01-04-2015

End Date: 31-10-2017

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $330,000.00

Funder: Australian Research Council