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
Do sex steroids regulate tear lipid production in human meibomian glands? This project aims to determine whether production of tear film lipids by meibomian gland cells is regulated by sex steroids. The tear film is essential to eyesight. It protects and nourishes the eye surface to maintain transparency to enable light to reach the retina. To guarantee these functions, exquisite control of tear film composition is required, including the outer lipid layer. Sex hormones, including oestrogen, may ....Do sex steroids regulate tear lipid production in human meibomian glands? This project aims to determine whether production of tear film lipids by meibomian gland cells is regulated by sex steroids. The tear film is essential to eyesight. It protects and nourishes the eye surface to maintain transparency to enable light to reach the retina. To guarantee these functions, exquisite control of tear film composition is required, including the outer lipid layer. Sex hormones, including oestrogen, may control production of the lipid layer by meibomian glands in the eyelid, but this has not been confirmed in humans. This project aims to show whether meibomian glands produce sex hormones, which then control production of tear lipids. This new knowledge will improve our understanding of how the tear film maintains clear vision.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
Beyond Speech: Towards better communication for children with hearing loss. Despite the benefits of early newborn hearing screening and early intervention programs for children with hearing loss, most still experience academic and social challenges at school. This is partly due to ongoing listening effort, leading to communicative breakdown. This project aims to identify the locus of the communicative challenges these children face during daily discourse interactions. The outcomes will identify ....Beyond Speech: Towards better communication for children with hearing loss. Despite the benefits of early newborn hearing screening and early intervention programs for children with hearing loss, most still experience academic and social challenges at school. This is partly due to ongoing listening effort, leading to communicative breakdown. This project aims to identify the locus of the communicative challenges these children face during daily discourse interactions. The outcomes will identify which levels of language are most compromised and will inform future interventions to reduce children’s listening effort. This will be undertaken by bringing together researchers in basic science with hearing service providers, parents and industry, providing an innovative model for solving multidisciplinary challenges.Read moreRead less
A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons fo ....A Machine Learning Framework for Concrete Workability Estimation . Concrete is the most used construction material in Australia. The project aims to develop a system to measure the workability of concrete in transit in agitator trucks using advanced machine vision and machine learning, and provide a reliable alternative to the current practice of visually testing concrete workability by certified testers. Concrete that fails to meet workability requirements is one of the most frequent reasons for rejection at construction sites, resulting in significant costs, waste, and delays. Multimodal data sources will be used to provide a reliable workability estimate in real time, enabling construction teams to identify and rectify workability issues in transit while continuously monitoring the adjustments effects.Read moreRead less
Does word similarity across languages help or hinder bilingual speakers? This project aims to understand in more detail how bilinguals can accurately speak in both their languages. Speaking is a complex skill, particularly if you have two languages to choose from, which will be true for over half of Australia’s population by 2025. This project aims to investigate the factors that influence speech production in both monolinguals and bilinguals including those with language impairment, and develop ....Does word similarity across languages help or hinder bilingual speakers? This project aims to understand in more detail how bilinguals can accurately speak in both their languages. Speaking is a complex skill, particularly if you have two languages to choose from, which will be true for over half of Australia’s population by 2025. This project aims to investigate the factors that influence speech production in both monolinguals and bilinguals including those with language impairment, and develop a better bilingual theory. The benefit of this new theory will be to provide a clear basis for diagnosis and treatment for children in bilingual households who have problems learning to speak, and for bilingual people with language problems after a stroke or dementia.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
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to ....Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to investigate a broad range of cognitive and communication functions. Benefits will include potential technologies and algorithms to assist listening (in devices such as hearing aids), language development and reading.Read moreRead less
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less