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
Discovery Early Career Researcher Award - Grant ID: DE200101832
Funder
Australian Research Council
Funding Amount
$425,941.00
Summary
Mechanisms of immune protection for infectious laryngotracheitis virus. This project aims to investigate the mechanisms of immune protection against infectious laryngotracheitis virus. This will be achieved by investigating the role of local and systemic immunity and the immune cells associated with long-term protection against disease. The mechanisms of protection against this virus remain unknown which impairs the development of efficacious vaccines. Expected outcomes of this project are a mor ....Mechanisms of immune protection for infectious laryngotracheitis virus. This project aims to investigate the mechanisms of immune protection against infectious laryngotracheitis virus. This will be achieved by investigating the role of local and systemic immunity and the immune cells associated with long-term protection against disease. The mechanisms of protection against this virus remain unknown which impairs the development of efficacious vaccines. Expected outcomes of this project are a more rational approach to vaccination resulting in the generation of more effective and safer vaccination strategies that should benefit our important poultry industry. Additionally, the new methodologies and knowledge on mucosal immune markers could be utilised for the study of other pathogens.Read moreRead less
Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirem ....Visual Simultaneous Localisation and Mapping in Deformable Environments. This project aims to investigate the problem of building a three-dimensional map of a deformable environment in real-time using images and at the same time localising the camera within the map. This project expects to generate new knowledge in the area of simultaneous localisation and mapping in deformable environments using visual sensors. Expected outcomes include in-depth understanding of the fundamental sensing requirements for the problem to be solvable, the achievable accuracy, and efficient algorithms for achieving accurate three-dimensional reconstruction of deformable environments. The research outcomes from this project offer significant benefits to diverse areas such as minimally invasive robotic surgery.Read moreRead less
Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping a ....Robotic Perception with Unconventional Sensors . Autonomy in robotic systems currently relies on conventional sensors such as lasers and cameras. Alternative sensing modalities as in the case of active electromagnetic sensors are commonly used to detect flaws, cracks and assess infrastructure’s integrity, however, fundamental research questions preclude their use for robotic perception. This project will develop the theory and algorithms to enable perception tasks such as localisation, mapping and recognition with unconventional sensors. The outcomes of this research have the potential to improve the effectiveness of critical civil infrastructure maintenance technology through accurate and reliable inspections, and the reduced need for human intervention.Read moreRead less
Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdiscipli ....Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdisciplinary expertise in ethics, artificial intelligence and serious game design. Expected outcomes of the Project include a new framework and technologies for cybersecurity training. This should provide significant benefits through deeper understanding of the ethical impact of new cybertechnologies and training solutions.Read moreRead less
Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with ....Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with a higher material recovery efficiency and a lower cost due to the significantly reduced labor cost; hence substantially reduce the environmental footprint associated with EOL treatment of these batteries.Read moreRead less
Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construct ....Self-organised communication as a foundation of large, complex societies. This Project aims to investigate how evolution has shaped the self-organisation of robust communication networks that emerge in large animal collectives from the actions of individuals following only simple, local rules. It expects to generate new knowledge into the fundamental principles guiding the self-organisation of networks that can sustain a complex society. Empirical work with ant colonies will inform the construction of simulation models to push the investigation beyond experimental limits. The Project should significantly advance our understanding of how communication networks enable the development of large societies, and thus of how to better manage autonomous man-made networks, most importantly the Internet-of-Things.Read moreRead less
New guardians of the mucosa: Molecular characterisation of M cell biology. We aim to completely define the cellular and molecular biology of gut and lung M cells for the first time. We will elucidate how they develop, are regulated and function at a molecular level, and how M cells maintain normal gut and lung tissues and induce immune responses to protect against microbial challenges. In the future, the new insights will be essential pre-requisites for the development of mucosal-based intervent ....New guardians of the mucosa: Molecular characterisation of M cell biology. We aim to completely define the cellular and molecular biology of gut and lung M cells for the first time. We will elucidate how they develop, are regulated and function at a molecular level, and how M cells maintain normal gut and lung tissues and induce immune responses to protect against microbial challenges. In the future, the new insights will be essential pre-requisites for the development of mucosal-based interventions and vaccines that protect the gut and lung from infectious and inflammatory issues. The harnessing of effective immune responses to control such challenges, are of enormous fundamental and long-standing biological interest, and are amongst the most important areas of current scientific research.Read moreRead less
Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how indi ....Swarm construction: ant-inspired processes for teams of building robots. Construction and manufacturing can be dangerous, wasteful industries—prime candidates for automation by teams of mobile robot builders. However, our understanding of how to program robots for teamwork is limited. This project aims to understand how colonies of weaver ants build complex nest structures, using novel 3D-imaging and ant tracking techniques. The anticipated outcomes of the project are i) a framework for how individual-level behaviour drives structure-level outcomes, applicable to many complex systems, and ii) novel software and hardware for robot swarms that can 3D-print structures using ant inspired teamwork strategies. Benefits of the project include new construction technologies that are safer, greener, cheaper and faster.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100858
Funder
Australian Research Council
Funding Amount
$344,896.00
Summary
Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to eff ....Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to effectively engage human in robot’s instruction. Expected outcomes include new methods for trainers to assess robot learning, and to improve their engagement and feedback. This should provide significant human-robot interaction benefits for accessibility of learning robots.Read moreRead less