Dissecting The Pseudoexfoliation Syndrome With Complementary Genetic, Proteomic And Biophysical Strategies
Funder
National Health and Medical Research Council
Funding Amount
$490,352.00
Summary
Pseudoexfoliation syndrome (PEX) is an eye condition in which flaky material deposits in the eye, greatly increasing the risk of cataract and glaucoma which can lead to blindness. PEX is also associated with heart disease, strokes and aneurysms. Cataract surgery in PEX patients has a higher rate of complications. In this project we will determine the nature of PEX material and why it forms. This knowlege will facilitate better diagnosis and treatment of PEX preventing associated blindness.
Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise deve ....Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise developed from the project will provide a competitive edge for Australian industries in aerospace, oceanography, robotics, remote sensing, and biomedical engineering. Read moreRead less
Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift ....Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.Read moreRead less
Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Novel Methods For Promoting Organ Development And Growth
Funder
National Health and Medical Research Council
Funding Amount
$390,203.00
Summary
A revolutionary new therapy for treatment of growth restricted fetuses and premature babies is being developed through the administration of Colony Stimulating Factor (CSF-1). We have evidence that CSF-1 therapy can promote kidneys and lungs to continue development and maturation after birth. This exciting new finding allows for the application of CSF-1 therapy for both the treatment of premature babies and unborn babies with kidney defects.
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Understanding The Causes Of Childhood Congenital Anomalies Of The Kidney And Urinary Tract
Funder
National Health and Medical Research Council
Funding Amount
$609,748.00
Summary
Congenital anomalies of the kidney and urinary tract (CAKUT) is a common cause of renal failure in children. The majority of patients with CAKUT do not know the underlying cause of their renal anomalies. In this proposal we will characterise the developmental events that are perturbed in three mouse models of CAKUT and identify the causal gene responsible in each mouse model. We will translate this information to the clinic by screening patients with CAKUT for mutations in these newly identified ....Congenital anomalies of the kidney and urinary tract (CAKUT) is a common cause of renal failure in children. The majority of patients with CAKUT do not know the underlying cause of their renal anomalies. In this proposal we will characterise the developmental events that are perturbed in three mouse models of CAKUT and identify the causal gene responsible in each mouse model. We will translate this information to the clinic by screening patients with CAKUT for mutations in these newly identified genes.Read moreRead less
Special Research Initiatives - Grant ID: SR0354622
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the early embryo have major consequences for the development of individuals. The aim of this Network is to harness the resources of leading researchers from the previously distinct disciplines of developmental biology and developmental physiology to better understand developmental regulatory networks and how environmental factors impinge on them. The formation of such a Network ....Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the early embryo have major consequences for the development of individuals. The aim of this Network is to harness the resources of leading researchers from the previously distinct disciplines of developmental biology and developmental physiology to better understand developmental regulatory networks and how environmental factors impinge on them. The formation of such a Network is unique, timely and strategic in that it will generate new insights into the mechanisms by which events in early life determine the risk of adverse outcomes in perinatal and adult life.Read moreRead less