Purification and bioactivity of legume protein as nutritional supplements . Lupin seed is a major Australian high protein legume crop, undervalued at only ~$200 tonne due to its use as an animal feed. However this project aims to add value to the crop by designing a scalable food-grade and commercialisable technology to purify the protein gamma-conglutin from lupin seed waste as a nutraceutical for human blood glucose control. The process optimisation and mechanism of action for gamma-congluti ....Purification and bioactivity of legume protein as nutritional supplements . Lupin seed is a major Australian high protein legume crop, undervalued at only ~$200 tonne due to its use as an animal feed. However this project aims to add value to the crop by designing a scalable food-grade and commercialisable technology to purify the protein gamma-conglutin from lupin seed waste as a nutraceutical for human blood glucose control. The process optimisation and mechanism of action for gamma-conglutin will be informed by proteomic analysis and cellular studies. From the project farmers may benefit through adding a premium to their crop value, a new gamma-conglutin purification technology will be available for processors to commercialise and consumers will have a natural product to help their blood glucose control.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100109
Funder
Australian Research Council
Funding Amount
$291,672.00
Summary
Compound specific isotopes of polar organic molecules in complex mixtures. This project aims to develop a liquid chromatography – isotope ratio mass spectrometry facility for the measurement of stable carbon isotope ratios of individual organic compounds in complex mixtures, most significantly sugars and amino acids. This will be the first such facility in Western Australia, strategically ranked to greatly expand existing world-class capabilities in stable isotope analysis. An important goal of ....Compound specific isotopes of polar organic molecules in complex mixtures. This project aims to develop a liquid chromatography – isotope ratio mass spectrometry facility for the measurement of stable carbon isotope ratios of individual organic compounds in complex mixtures, most significantly sugars and amino acids. This will be the first such facility in Western Australia, strategically ranked to greatly expand existing world-class capabilities in stable isotope analysis. An important goal of this project is the analysis of sugars in high-value foodstuffs such as honey, to develop a robust method of provenancing and authentication for important export markets. Other outcomes include elucidation of modern and ancient biological and ecological systems through the isotope analysis of natural products from microbes.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
ARC Centre of Excellence in Plants for Space. ARC Centre of Excellence in Plants for Space. This Centre aims to create on-demand, zero-waste, high-efficiency plants and plant products to address grand challenges in sustainability for Space and on Earth. Significant advances in plant, food, and sensory science; process and systems engineering; law and policy; and psychology are expected to deliver transformative solutions for Space habitation – and create enhanced plant-derived food and bioresour ....ARC Centre of Excellence in Plants for Space. ARC Centre of Excellence in Plants for Space. This Centre aims to create on-demand, zero-waste, high-efficiency plants and plant products to address grand challenges in sustainability for Space and on Earth. Significant advances in plant, food, and sensory science; process and systems engineering; law and policy; and psychology are expected to deliver transformative solutions for Space habitation – and create enhanced plant-derived food and bioresources to capitalise upon emergent and rapidly expanding domestic and global markets. Anticipated outcomes include industry uptake of innovative plant forms, foods, technologies, and commodities; and an ambitious education and international co-ordination agenda to position Australia as a global leader in research supporting Space habitation.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100050
Funder
Australian Research Council
Funding Amount
$1,681,491.00
Summary
A national network for magnetic resonance spectroscopy. Our proposed network of high-end facilities for solid-state nuclear magnetic resonance spectroscopy aims to establish cutting-edge capabilities nationally for molecular and materials characterisation. The new infrastructure will enable advanced studies in chemistry, drug design, materials science, and environmental sciences. The expected outcomes include new discoveries, innovative applications, and potential commercialisation of new produc ....A national network for magnetic resonance spectroscopy. Our proposed network of high-end facilities for solid-state nuclear magnetic resonance spectroscopy aims to establish cutting-edge capabilities nationally for molecular and materials characterisation. The new infrastructure will enable advanced studies in chemistry, drug design, materials science, and environmental sciences. The expected outcomes include new discoveries, innovative applications, and potential commercialisation of new products, which will bring significant economic benefits to the Australian economy. Additionally, the network will foster collaborations with international researchers and industry partners in areas of biotechnology, energy capture and storage, and environmental sustainability.Read moreRead less
Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-s ....Robust and Explainable 3D Computer Vision. Computer vision is increasingly relying on deep learning which is fragile, opaque and fails catastrophically without warning. This project aims to address these problems by developing new theory in graph representation of 3D geometric and image data, hierarchical graph simplification and novel modules designed specifically for deep learning over geometric graphs. Using these modules, it aims to design graph convolutional network architectures for self-supervised learning that are robust to failures and provide explainable decisions for object detection and scene segmentation. The outcomes are expected to advance theory in robust deep learning and benefit 3D mapping, surveying, infrastructure monitoring, transport and robotics industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100388
Funder
Australian Research Council
Funding Amount
$437,977.00
Summary
Ecological and phylogenomic insights into infectious diseases in animals. This project aims to address major knowledge gaps in our understanding of Clostridium difficile, a leading cause of severe gastrointestinal disease in animals. The project is expected to define the epidemiology of C. difficile infection in Australian horses, characterise the genetic and phenotypic traits of C. difficile strains causing equine disease and develop a new tool for enhanced genomic tracking of C. difficile in a ....Ecological and phylogenomic insights into infectious diseases in animals. This project aims to address major knowledge gaps in our understanding of Clostridium difficile, a leading cause of severe gastrointestinal disease in animals. The project is expected to define the epidemiology of C. difficile infection in Australian horses, characterise the genetic and phenotypic traits of C. difficile strains causing equine disease and develop a new tool for enhanced genomic tracking of C. difficile in animals. These outcomes will support strategies by the veterinary sector to improve the detection, prevention and control of C. difficile infections in animals, providing long-term socio-economic benefits arising from reduced incidence and mortality associated with C. difficile infections in Australian horses and livestock.Read moreRead less
Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with thei ....Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.Read moreRead less
Pyruvate provision for mitochondrial respiration in plants. This project aims to generate new knowledge about pyruvate provision for respiration in plants as it is a major pathway of carbon loss from plants. It will address specific gaps in knowledge about how pyruvate is provided to mitochondria for respiration, how channelling of pyruvate is achieved between components in this pathway and it will seek to engineering a new pyruvate supply pathway to change respiratory processes in plants. It wi ....Pyruvate provision for mitochondrial respiration in plants. This project aims to generate new knowledge about pyruvate provision for respiration in plants as it is a major pathway of carbon loss from plants. It will address specific gaps in knowledge about how pyruvate is provided to mitochondria for respiration, how channelling of pyruvate is achieved between components in this pathway and it will seek to engineering a new pyruvate supply pathway to change respiratory processes in plants. It will develop techniques for analysis of metabolic processes in plants and genetic proof for assumptions of how plant respiration works. Benefits will be training of early career researchers, enhanced international reputation of Australian plant science and new approaches to engineer respiratory rate in plants.Read moreRead less