Discovery Early Career Researcher Award - Grant ID: DE220101075

Funding Activity

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Funded Activity Summary

Fuzzy transfer learning for real-time decision making under uncertainty. This project’s objective is to build new tools for the next generation of real-time decision making. As the datasphere grows more complex, meaningful decision support already requires a strong capacity for knowledge transfer, substantial robustness to uncertainty, and real-time analytics. Today’s methods are struggling to meet these challenges. The new schema to be devised combines fuzzy logic, transfer learning, reinforcement learning and deep neural networks. These integrations will lay the foundations for real-time decision-making solutions over the next decade and will advance machine learning under uncertainty. Immediate applications include structural health monitoring, climate prediction and telecommunications maintenance.

Funded Activity Details

Start Date: 01-01-2022

End Date: 09-04-2025

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $415,820.00

Funder: Australian Research Council