Relationship of retinal directionality to human retinal anatomy variations. This project aims to improve measurement of retinal directionality, which is the reduction in brightness when a light beam’s entry into the human eye is shifted from the centre to the edge of the pupil. This influences retinal image quality and can be used to measure changes in shape of the peripheral eye. This project will apply advanced technologies in holography, and heads-up displays to explore how retinal directiona ....Relationship of retinal directionality to human retinal anatomy variations. This project aims to improve measurement of retinal directionality, which is the reduction in brightness when a light beam’s entry into the human eye is shifted from the centre to the edge of the pupil. This influences retinal image quality and can be used to measure changes in shape of the peripheral eye. This project will apply advanced technologies in holography, and heads-up displays to explore how retinal directionality changes during accommodation (focusing). The expected outcome is improved understanding of retinal stretching changes during focusing. The benefit is that the project will lead to advancements in retinal imaging.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, ....Square Eyes or All Lies? Understanding Children's Exposure to Screens. This project will examine Australian parents’ number one concern about their children’s health and behaviour – their interactions with electronic screens. Current screen time guidelines are based on low-quality evidence and lack the nuance required to address this complex issue. This project will use innovative technology to resolve these weaknesses. Wearable cameras will measure what children are doing on screens, and where, when, and how long they are doing it. The project will also investigate how screen time impacts children’s development and how it is influenced by their environment. This evidence will benefit children by improving screen time guidelines, and help parents understand the impact of screen time on children’s development.
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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
How brains become lateralised. This project aims to understand how the left and right sides of the brain become specialised for different cognitive functions, a phenomenon called lateralisation. Lateralisation is one of the least understood organisational principles of the brain, yet is crucial to the way we think and behave. Manifested most clearly as handedness, the brain is lateralised for many cognitive tasks such as language, reasoning, memory and emotion. However, the developmental origin ....How brains become lateralised. This project aims to understand how the left and right sides of the brain become specialised for different cognitive functions, a phenomenon called lateralisation. Lateralisation is one of the least understood organisational principles of the brain, yet is crucial to the way we think and behave. Manifested most clearly as handedness, the brain is lateralised for many cognitive tasks such as language, reasoning, memory and emotion. However, the developmental origin and anatomical substrate of most cognitive asymmetries are unknown. This project will use a chick model of brain lateralisation to quantify and localise to specific brain circuits the patterns of differential gene expression that give rise to anatomical and functional asymmetries.Read moreRead less
Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honey ....Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honeybees to provide essential ecosystem services is informed by transferable, standardised data acquisition and management techniques that maintain bee health and maximise pollination. The anticipated outcomes are higher fruit yields and quality, and a beneficial step-change in industry productivity and profitability.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100975
Funder
Australian Research Council
Funding Amount
$415,775.00
Summary
Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, ....Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, scalable and versatile light-based 3D–4D printing technique combined with discrete element modelling. Outcomes will be toughened ceramics and new knowledge on processing-architecture-performance relationships, with significant benefits for biomaterials, defence, transport, high-temperature and aerospace applications.Read moreRead less
Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide ....Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide a non-surgical method of contraception in companion/feral species, which should address the large unmet need for fertility control in these animals.
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