Discovery Early Career Researcher Award - Grant ID: DE200100964

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200100964

Funding Status
Active

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Funded Activity Summary

Early Prediction in Large-scale Time-variant Information Networks. This project aims to develop an early prediction system to predict possible outbreaks of malicious messages in time-variant information networks. The research will primarily leverage deep representations of time-variant subsequence and substructure patterns in large-scale social networks to signal malicious and malevolent messages before it has a chance to propagate. This project will lay the theoretical foundations of this emerging field to strengthen Australia’s world leadership role in data science. Practically, the novel theories and data analytics technologies developed will help to safeguard Australian business, industry, and society from cyberfraud, online rumour-mongering, and financial loss.

Funded Activity Details

Start Date: 16-03-2020

End Date: 15-03-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $427,068.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Expanding Knowledge in Technology |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in Technology | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining

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