Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing ....Insect-inspired flapping wing robots: autonomous flight control systems. This project aims to design a novel control scheme for insect-inspired, flapping-wing, micro aerial vehicles. This type of micro aerial vehicle has complex, periodic, time-varying and inherently unstable dynamics, which are practically challenging to model and implement in hardware. This project will design energy-based automatic stabilization and task-dependent control, and develop the insect-inspired platform for testing nonlinear control strategies. The expected outcomes will include new system and control theories, concepts, principles and technologies in controller design that can provide reliable flight control for bio-inspired, flapping-wing systems.Read moreRead less
Contact Networks, Immunity, and Evolution in Competing Cancer Epidemics. The project aims to evaluate evolutionary interactions between two transmissible cancer epidemics affecting Tasmanian devils and quantify their feedback on infection risk and epidemic behaviour. Using contact tracing and a phylogenetic framework we aim to quantify how tumour lineages evolve with each generation of infection and their effects on susceptibility to infection and disease progression. We expect to reveal the hos ....Contact Networks, Immunity, and Evolution in Competing Cancer Epidemics. The project aims to evaluate evolutionary interactions between two transmissible cancer epidemics affecting Tasmanian devils and quantify their feedback on infection risk and epidemic behaviour. Using contact tracing and a phylogenetic framework we aim to quantify how tumour lineages evolve with each generation of infection and their effects on susceptibility to infection and disease progression. We expect to reveal the host immuno-genetic basis underpinning cancer suppression and the adaptive capacity of populations in response to infectious diseases. This should significantly improve our ability to understand and manage this and other epidemic outbreaks in wildlife, as well as advancing our knowledge in cancer ecology and evolution.Read moreRead less
Some like it hot: the genetics of rapid adaptation to climate change. This project investigates the genetics of rapid evolutionary adaptation by utilising genomes sampled over unparalleled temporal and spatial scales in a highly invasive and agriculturally significant weed. This project expects to generate new knowledge about the genetic mechanisms that facilitate adaptation to climate change by developing new theory and genomic predictions, and then testing them under realistic field conditions ....Some like it hot: the genetics of rapid adaptation to climate change. This project investigates the genetics of rapid evolutionary adaptation by utilising genomes sampled over unparalleled temporal and spatial scales in a highly invasive and agriculturally significant weed. This project expects to generate new knowledge about the genetic mechanisms that facilitate adaptation to climate change by developing new theory and genomic predictions, and then testing them under realistic field conditions. Expected outcomes include a deeper understanding of the genetic basis of adaptation, and a powerful framework to predict the evolutionary consequences of climate change. This should provide significant benefits, including improved capacity to anticipate the effects of climate change on noxious and threatened species.Read moreRead less
Eco-evolutionary drivers of niche dynamics in invasive weeds. The project aims to understand how and why invasive species become invasive. Many exotic species are known to expand their ecological niches in their novel range, exploiting habitats that ancestral populations never used. Using a unique approach that combines field transplant and quantitative genetics experiments, this study will identify the drivers of niche expansion in invasive Australian capeweed, and predict if the invasive popul ....Eco-evolutionary drivers of niche dynamics in invasive weeds. The project aims to understand how and why invasive species become invasive. Many exotic species are known to expand their ecological niches in their novel range, exploiting habitats that ancestral populations never used. Using a unique approach that combines field transplant and quantitative genetics experiments, this study will identify the drivers of niche expansion in invasive Australian capeweed, and predict if the invasive populations are likely to further expand their niches. By delivering key insights into mechanisms of adaptive evolution in invasive species, this research should benefit efforts to effectively limit the spread of invasive plants that threaten the native environment. Read moreRead less
Using genetic Allee effects to manage invasive populations. An invasion can be started with only a small number of individuals, and it is very difficult to reliably detect these individuals. This project aims to develop new genetic technology that can send small founder populations extinct without affecting large populations. This technology removes the problem of having to detect small populations; these small populations will go extinct on their own, without the need for management interventio ....Using genetic Allee effects to manage invasive populations. An invasion can be started with only a small number of individuals, and it is very difficult to reliably detect these individuals. This project aims to develop new genetic technology that can send small founder populations extinct without affecting large populations. This technology removes the problem of having to detect small populations; these small populations will go extinct on their own, without the need for management intervention. This technology could be used to prevent establishment and spread of invasive species and agricultural pests. Through a combination of experimentation and modelling, the project develops this technology and assesses its use in applied problems ranging across environment, agriculture, and health.Read moreRead less
Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected ....Human-Robot Co-Evolution: Achieving the full potential of future workplaces. Physical human-robot systems are widely used to amplify the capability of human labourers and improve ergonomics in the workplace. This project aims to develop robot controllers that shape the co-evolution of these systems. Through physical human-robot interaction studies it will generate new knowledge of how humans adapt to working with robots, which will then be incorporated into the robot controller design. Expected outcomes include a better understanding of human adaptation and a systematic approach to shaping human-robot interaction over time. This should provide significant benefits across different skill and labour-intensive industries in Australia, such as improved worker productivity and safer human-robot collaboration.Read moreRead less
How do MACPF/CDC proteins punch giant holes in lipid membranes? This project aims to study the Membrane Attack Complex (MAC)/Perforin-like/Cholesterol Dependent Cytolysins (MACPF/CDC) family which form unusually large holes in membranes. This project aims to define the exact molecular shape of a monomer in comparison with the exact molecular shape of the pore of the MACPF/CDC family. This project will also provide new information about the intermediate steps in pore formation. This will have maj ....How do MACPF/CDC proteins punch giant holes in lipid membranes? This project aims to study the Membrane Attack Complex (MAC)/Perforin-like/Cholesterol Dependent Cytolysins (MACPF/CDC) family which form unusually large holes in membranes. This project aims to define the exact molecular shape of a monomer in comparison with the exact molecular shape of the pore of the MACPF/CDC family. This project will also provide new information about the intermediate steps in pore formation. This will have major benefits to agribusiness and nanotechnology applications.Read moreRead less
Motor control of the upper airway muscle genioglossus. This project aims to evaluate a recent proposal about the motor control of the upper airway muscle Genioglossus. The upper airway muscles, the most complex in the human body, are critical for breathing and speaking, but are not well understood. Genioglossus draws the base of the tongue forward to maintain airway patency. This project will study genioglossus during wakefulness and sleep in normal healthy individuals. It is anticipated that th ....Motor control of the upper airway muscle genioglossus. This project aims to evaluate a recent proposal about the motor control of the upper airway muscle Genioglossus. The upper airway muscles, the most complex in the human body, are critical for breathing and speaking, but are not well understood. Genioglossus draws the base of the tongue forward to maintain airway patency. This project will study genioglossus during wakefulness and sleep in normal healthy individuals. It is anticipated that the project will suggest improved avenues for treatment of sleep related respiratory disorders.Read moreRead less
My enemy’s enemy is my friend: The genetics of major plant pathogen killers. Fungi are devastating agents of crop diseases. These plant pathogens, in turn, are often parasitized by other fungi in the field. The project will focus on such interactions between powdery mildews, important pathogens of many crops and wild plants, and their common fungal parasites (Ampelomyces spp.) that have already been utilised as
biocontrol agents in crop protection. Genetic and genomic tools will be used to deter ....My enemy’s enemy is my friend: The genetics of major plant pathogen killers. Fungi are devastating agents of crop diseases. These plant pathogens, in turn, are often parasitized by other fungi in the field. The project will focus on such interactions between powdery mildews, important pathogens of many crops and wild plants, and their common fungal parasites (Ampelomyces spp.) that have already been utilised as
biocontrol agents in crop protection. Genetic and genomic tools will be used to determine if these parasites evolved by switching host from plants to plant pathogens. The project has the potential to make a ground-breaking discovery in this field, and also establish the starting point for new innovative methods to protect a wide diversity
of crops using these fungi or specific compounds derived from them.Read moreRead less
Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithm ....Accelerated Finite-time Learning and Control in Cyber-Physical Systems. Efficient learning and control in cyber-physical systems such as smart grids and robotic systems are very important for achieving economic and social benefits. This project aims to establish a breakthrough accelerated finite-time dynamics theory and technology to assist in delivering efficient learning and control. Expected outcomes include new distributed accelerated finite-time dynamics based learning and control algorithms and tools for optimal operations in cyber-physical systems. This should provide significant benefits including a practical technology for industry applications in smart grids and robotic systems, and training of the next generation engineers in this technology for Australia.Read moreRead less