ARC Future Fellowships - Grant ID: FT230100121

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT230100121

Funding Status
Active

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Funded Activity Summary

Situated Anomaly Detection in an Open Environment. This project aims to investigate situated anomaly detection in an open environment. Existing anomaly detection techniques follow the setting of conventional machine learning and discover anomalies from a set of collected data. In contrast, this project proposes to develop the next-generation of anomaly detection algorithms by learning from interactions with an open environment, which enables the discovery of new anomalies and the early detection of anomalies. The established theories and developed algorithms will advance frontier technologies in machine intelligence. The success of the project will contribute to a wide range of real applications in cybersecurity, defence and finance, bringing massive social and economic benefits.

Funded Activity Details

Start Date: 30-06-2024

End Date: 29-06-2028

Funding Scheme: ARC Future Fellowships

Funding Amount: $1,140,382.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Deep learning | Data mining and knowledge discovery | Data engineering and data science | Data management and data science

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Application Software Packages | Artificial Intelligence | Data engineering and data science | Data management and data science | Data mining and knowledge discovery | Deep learning

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