Optimising Dual-Stage Fermentation to Eliminate Microalgal Indigestibility and Anti-Nutritional Factors in Commercial Herbivore Fish Feeds
Optimising Dual-Stage Fermentation to Eliminate Microalgal Indigestibility and Anti-Nutritional Factors in Commercial Herbivore Fish Feeds
Global aquaculture urgently requires scalable and sustainable alternatives to conventional feed ingredients, including price-volatile terrestrial crops such as soybean meal…
Deep Learning Algorithms for Metal Surface Defect Detection
This project focuses on deep learning-based detection of surface defects on metal industrial components. These flaws affect not only visual…
Automatic control for safe assisted mechanical ventilation of lungs
Mechanical ventilation is the mechanical delivery of air to a patient’s respiratory system when the patient cannot maintain sufficient ventilation…
Revealing the chemistry of the glycine leaching technologies for metal extraction
A new technology has been developed by Draslovka Mining Process Solutions to extract metals from ores using glycine as the…
Deciphering pathogen interactome and host–pathogen interactions in crops using mass spectrometry techniques
Plant fungal pathogens manipulate host cellular processes through secreted proteins and membrane-associated interactions that remain poorly characterised at the molecular…
Sodium borohydride for solid-state green hydrogen export
Australia’s ambition to become a global leader in low-carbon energy exports depends on developing safe, efficient, and scalable methods for…
Power Law based Cyber Defence
A large number of breaches are the result of misconfigured security and monitoring solutions that fail to detect and alert…
Explainable multimodal AI for paediatric rare disease detection
Rare and neurodevelopmental conditions affect 5–8% of the population, yet children with these conditions routinely wait years for a confirmed…
Cosmic clocks and their application to position, navigation and timing
Pulsars are rapidly-spinning neutron stars that act as extremely stable cosmic clocks. They can be used for stringent tests of…
Theory-informed machine learning for hydrocyclone monitoring and soft sensing in mineral grinding circuits
Comminution is one of the most energy-intensive and critical operations in mineral processing, and the efficiency of grinding circuits has…