Locations

Enhancing cybersecurity with AI and Large Language Models 

This project will explore the integration of artificial intelligence (AI) and large language models (LLMs) to predict organisational cybersecurity risks and mitigate threats in advance. The expected outcomes are an enhanced cybersecurity framework, better threat intelligence techniques and user-centric designs, and an adaptable solution. This may help businesses to identify cyber risks and prevent cyber incidents prior to happening and avoid financial losses and brand damage.   

Fingerprinting critical minerals development in continental margins

This project will study how critical minerals develop in the Andean-type plate margins through case studies in eastern Australia. The expected outcomes are results that characterise signature minerals in a polymetallic minerals province in Far North Queensland. This may result in supplying new data-driven mineralisation models for key exploration regions.

Crop disease management

This project aims to integrate novel automated disease surveillance technology into real-time management of crop diseases for improved yield and sustainability outcomes. The expected outcome is grower recommendations for crop diseases informed by real-time automated disease surveillance. The potential benefit is improved productivity and sustainability through reduced crop losses and chemical inputs.

Compostable plastics

This Project aims to design and develop compostable plastics. The expected outcome is to produce new materials and compositions from sustainable sources to make plastics. This could benefit Australia to find new ways to make plastics that are sustainable and circular.