Detection and viability of waterborne pathogens using a gut-on-chip. This project aims to resolve a significant problem for water utilities. Microbial pathogens Cryptosporidium, norovirus and adenovirus are the main public health concern for drinking water in developed nations. Water monitoring is limited by the lack of fast, reliable detection methods and viability assays for these pathogens. This project will use a novel gut-on-a-chip to develop for the first time rapid infectivity assays for ....Detection and viability of waterborne pathogens using a gut-on-chip. This project aims to resolve a significant problem for water utilities. Microbial pathogens Cryptosporidium, norovirus and adenovirus are the main public health concern for drinking water in developed nations. Water monitoring is limited by the lack of fast, reliable detection methods and viability assays for these pathogens. This project will use a novel gut-on-a-chip to develop for the first time rapid infectivity assays for Cryptosporidium, norovirus and adenovirus. Significant benefits include improved diagnostics and water disinfection assays, improved water treatment and reduced costs with global impact.Read moreRead less
Unravelling cell wall polysaccharide biosynthesis in pathogenic zygomycetes. This project aims to define mechanisms that control cell wall composition and stability in Rhizopus oryzae, a zygomycete fungus responsible for life-threatening human infections. The biochemical properties and function of vital enzymes involved in a newly discovered cell wall polysaccharide biosynthetic pathway will be determined using innovative approaches at the interface of biochemistry, microbiology, cell biology an ....Unravelling cell wall polysaccharide biosynthesis in pathogenic zygomycetes. This project aims to define mechanisms that control cell wall composition and stability in Rhizopus oryzae, a zygomycete fungus responsible for life-threatening human infections. The biochemical properties and function of vital enzymes involved in a newly discovered cell wall polysaccharide biosynthetic pathway will be determined using innovative approaches at the interface of biochemistry, microbiology, cell biology and structural biology. Expected outcomes include new knowledge on the enzymes that synthesise major fucose-based carbohydrates, to guide the future development of novel strategies for antifungal therapies. The data will also be applicable to animal protection from related zygomycete pathogens.
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Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently ....Learning Robotic Navigation and Interaction from Object-based Semantic Maps. Our project aims to develop new learning algorithms that enable robots to perform high-complexity tasks that are currently impossible. Compared to existing methods that rely on low-level sensor data, we aim to achieve this by learning from a high-level graph representation of the environment that captures semantics, affordances, and geometry. The outcome would be robots capable of using human instructions to efficiently learn complex interaction and navigation behaviours that transfer to unseen environments. Our research should benefit new applications in domains of economic and societal importance that are currently too complex, unsafe, and uncertain for robot assistants, such as aged care, advanced manufacturing and domestic robotics.Read moreRead less
Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previous ....Active Visual Navigation in an Unexplored Environment. This project will develop a new method for robotic navigation in which goals can be specified at a much higher level of abstraction than has previously been possible. This will be achieved using deep learning to make informed predictions about a scene layout, and navigating as an active observer in which the predictions informs actions. The outcome will be robotic agents capable of effective and efficient navigation and operation in previously unseen environments, and the ability to control such agents with more human-like instructions. Such capabilities are desirable, and in some cases essential, for autonomous robots in a variety of important application areas including automated warehousing and high-level control of autonomous vehicles. Read moreRead less
Revealing molecular detail of DNA triplexes to underpin antigene technology. Variations from the classic DNA double helix structure are proposed to play key roles in a range of cellular processes, particularly gene regulation. However, the biological function and therapeutic potential of these unusual DNA structures are poorly explored, since the fundamental molecular details which govern their formation and interactions with cellular machinery are not well described. This project aims to develo ....Revealing molecular detail of DNA triplexes to underpin antigene technology. Variations from the classic DNA double helix structure are proposed to play key roles in a range of cellular processes, particularly gene regulation. However, the biological function and therapeutic potential of these unusual DNA structures are poorly explored, since the fundamental molecular details which govern their formation and interactions with cellular machinery are not well described. This project aims to develop innovative methods to investigate, and importantly modulate, DNA and RNA triple helix assembly, specificity and molecular interactions. Resulting insights will underpin novel approaches to gene regulation, principally in the context of designing new antibacterial agents to address the antibacterial resistance problem.Read moreRead less