Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection ....Deep Learning Architecture with Context Adaptive Features for Image Parsing. This project aims to develop a novel deep learning network architecture with contextual adaptive features for image parsing that can improve the object detection accuracy in real-world applications. A number of innovative methods for deep learning, contextual features and network parameter selection will be developed and investigated. The impact of the proposed architecture and features will be improved object-detection accuracy and advances in deep learning network architecture for image parsing. The intended outcomes are deep learning network architecture, contextual feature extraction techniques and network parameter optimisation techniques for image parsing.Read moreRead less
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less
Attention vs Perception: When is selection optimal, when relational? This project aims to investigate an important, newly discovered dissociation between early visual selection and perceptual decision-making. Contrary to current theories, attentional and perceptual processes are tuned to different stimulus attributes described in the relational vs. optimal account, which implies that current theories of attention do not describe early attention but later, decisional processes. This project will ....Attention vs Perception: When is selection optimal, when relational? This project aims to investigate an important, newly discovered dissociation between early visual selection and perceptual decision-making. Contrary to current theories, attentional and perceptual processes are tuned to different stimulus attributes described in the relational vs. optimal account, which implies that current theories of attention do not describe early attention but later, decisional processes. This project will provide an accurate description of these processes, which promises important theoretical breakthroughs. Work on this project will also significantly advance methods to detect and describe early attentional processes, by identifying error-prone methods of Psychophysics and Neuroscience studies, and proposing remedies.Read moreRead less
Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The pr ....Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The project will provide fundamental advances in our knowledge of the nutrient transport during pregnancy that is required to produce a healthy baby.Read moreRead less
Precision ecology: the modern era of designed experiments in plant ecology. This project aims to develop the field of precision ecology, forging a new era of designed experiments where sampling is informed by research questions and what is known about the ecological process being studied. Through the development of novel statistical methods, new experiments globally will be designed to answer important ecological questions including what influence abiotic and biotic factors have on plant commun ....Precision ecology: the modern era of designed experiments in plant ecology. This project aims to develop the field of precision ecology, forging a new era of designed experiments where sampling is informed by research questions and what is known about the ecological process being studied. Through the development of novel statistical methods, new experiments globally will be designed to answer important ecological questions including what influence abiotic and biotic factors have on plant communities over time and different spatial scales. Expected outcomes include new methods and tools that will modernise how future experiments will be conducted in plant ecology. This will provide significant transdisciplinary benefits including new statistical methods that target scientific discovery in ecological studies.Read moreRead less
Fundamental neurocognitive mechanisms underpinning creative thought. The project aims to understand the neural and cognitive bases of creative thought by using a novel approach and recent framework that has emerged from the study of semantic cognition and executive control functions. Creative thought is fundamental to human advances throughout history and it is the foundation to all arts and sciences. Expected outcomes are a framework that can explain the source of knowledge and the evaluative ....Fundamental neurocognitive mechanisms underpinning creative thought. The project aims to understand the neural and cognitive bases of creative thought by using a novel approach and recent framework that has emerged from the study of semantic cognition and executive control functions. Creative thought is fundamental to human advances throughout history and it is the foundation to all arts and sciences. Expected outcomes are a framework that can explain the source of knowledge and the evaluative mechanisms needed to generate new and useful ideas. Significant benefits will be to advance our understanding of the neurocognitive mechanisms of creative thought, which can enhance Australia’s scientific capability through training and collaboration and broader society by enhancing capacity for innovative thinking. Read moreRead less
Combining biomechanics and movement ecology of kangaroos and relatives. Kangaroos and their relatives are unique in their body form, hopping gait and by the fact that increased speed does not come at an increased energetic cost. This project aims to build 3D musculoskeletal models to understand how muscles and tendons interact, enabling greater distances to be travelled using less energy. Further, it will use animal tracking devices and machine-learning tools to quantify movements in the wild. T ....Combining biomechanics and movement ecology of kangaroos and relatives. Kangaroos and their relatives are unique in their body form, hopping gait and by the fact that increased speed does not come at an increased energetic cost. This project aims to build 3D musculoskeletal models to understand how muscles and tendons interact, enabling greater distances to be travelled using less energy. Further, it will use animal tracking devices and machine-learning tools to quantify movements in the wild. This framework will provide novel insights into how energetics, morphology, and habitat have shaped the evolution of this unique group. This may open doors to a range of future ecological, physiological, and conservation studies and provide biological inspiration for energetically efficient robotic and assistive devices.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
Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.Read moreRead less
The ecological impact of large carnivore restoration. This project aims to assess the ecological changes that have arisen due to the repatriation of estuarine crocodiles to Australian ecosystems. It is significant because the restoration provides a rare opportunity to empirically test changes in ecosystem processes under varying degrees of large carnivore predation pressure. Expected outcomes include improved understanding of the processes that govern the strength of predator-ecosystem interacti ....The ecological impact of large carnivore restoration. This project aims to assess the ecological changes that have arisen due to the repatriation of estuarine crocodiles to Australian ecosystems. It is significant because the restoration provides a rare opportunity to empirically test changes in ecosystem processes under varying degrees of large carnivore predation pressure. Expected outcomes include improved understanding of the processes that govern the strength of predator-ecosystem interactions and an ability to quantify the biomass, social structure, and behaviours of predators required to influence these processes. Benefits should include improvements in how the ecological role of large carnivores is measured, and when and where carnivore populations should be culled or conserved.Read moreRead less