QLD
Building responsible AI: Co-designing knowledge transfer solutions using generative AI
This project will bridge the gap between the principles of responsible AI and their measurable practice, by developing AI knowledge tools to empower end-user community groups. The expected outcomes are to build insights and develop AI tools for information dissemination and knowledge transfer. The potential benefit is to produce responsible AI solutions to help disability groups connect, communicate, share and learn.
AI for Early Detection of Neurodegenerative Disorder in Elderly
This Project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to older adults. The expected outcome is the creation of AI algorithms to detect early signs of neurodegenerative disorders in older adults living independently at home. The potential benefit is early detection of neurodegenerative disorders in older adults, improving quality of life and effective disease management.
Influencing factors of feed intake and digestion in prawns
This Project will investigate poorly understood mechanisms regulating feed consumption in prawns through a multi-disciplinary approach studying feeding behaviour, digestive physiology, nutritional needs and metabolism regulation. The expected outcomes are to better understand dietary factors and physiological mechanisms promoting feed consumption and return of appetite in juvenile prawns. This may lead to the application of new feed and feeding strategies to enhance aquaculture performance and sustainability.
Improving cropping decisions with AI-enhanced weather forecasts
This project will investigate the use of artificial intelligence (AI) to improve weather forecasts and discover how AI forecasts can advance farming decisions by coupling with crop models and smart farming tools. This is an exciting opportunity to develop or integrate novel AI-enhanced weather forecasts into real world modelling applications, for example in the sugarcane industry. With research being undertaken alongside real farm advisors, your research can help industry to optimise resource use and enhance overall farm productivity while minimising environmental impact.
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.
Li-ion battery separator material recovery and utilisation
Sodium battery is a promising alternative for energy storage if precious metal prices for making LIB remain high. This Project will mainly focus on the recovery of LIB separator material and explore economic applications of the recovered separator materials, such as turning it into high-value hard carbon for making sodium battery anode material.