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
Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes a ....Gravity and quantum-limited measurements with a fundamental minimum length. This project aims to investigate the effects of a fundamental minimum length on the nature of gravity and on how accurately we can make measurements in our world. The key challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired by information theory. The expected outcomes are new connections between fundamental limitations on measurements, the nature of gravitation, and ultra-small-scale quantum physics. The benefit of this work is breaking the logjam in answering the most important open question in all of physics: how to unite quantum theory and gravitation.Read moreRead less
Reaching new frontiers of quantum fields and gravity through deformations. This project aims to reach new frontiers in quantum field and gravity theories. These underpin systems ranging from semi-conductors to particle collisions and the quantum behavior of black holes. An obstacle is that these theories are notoriously hard to solve. This project proposes to tackle this longstanding problem by using new deformations, symmetries and dualities that have attracted widespread attention. Expected ou ....Reaching new frontiers of quantum fields and gravity through deformations. This project aims to reach new frontiers in quantum field and gravity theories. These underpin systems ranging from semi-conductors to particle collisions and the quantum behavior of black holes. An obstacle is that these theories are notoriously hard to solve. This project proposes to tackle this longstanding problem by using new deformations, symmetries and dualities that have attracted widespread attention. Expected outcomes will include innovative techniques that will greatly enhance and interconnect our knowledge of field theories and quantum gravity, together with new discoveries in quantum-corrected geometries. A new network of domestic and international experts will largely benefit the fields of theoretical and mathematical physics.Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Context dependent flower choice in honey bees. This project aims to discover the strategies honey bees use when choosing between multiple flowers. The choices that honey bees make about which flowers to visit and which to avoid has significant impacts on crop yields, the spread of invasive weeds, and the conservation of native plants. This project expects to generate new knowledge in the fields of behavioural and pollination ecology through a combination of field experiments and modelling. Expec ....Context dependent flower choice in honey bees. This project aims to discover the strategies honey bees use when choosing between multiple flowers. The choices that honey bees make about which flowers to visit and which to avoid has significant impacts on crop yields, the spread of invasive weeds, and the conservation of native plants. This project expects to generate new knowledge in the fields of behavioural and pollination ecology through a combination of field experiments and modelling. Expected outcomes of this project include enhanced capacity in the field of pollination ecology, and new insight into flower preferences in the world’s most important commercial pollinator. This should provide significant benefits to food production and security as one third of the world’s crops benefit from insect pollination.Read moreRead less
Improving plant reproductive success under heat stress: A sweet approach. This project aims to determine how genetic manipulation of cell wall invertase (CWIN) activity could regulate pollen germination, elongation and fruit set under heat stress using tomato as a model. Plant reproductive processes are highly susceptible to heat stress, which often leads to pollination failure and fruit and seed abortion, hence irreversible yield loss. Research has established that CWIN-mediated sugar metabolis ....Improving plant reproductive success under heat stress: A sweet approach. This project aims to determine how genetic manipulation of cell wall invertase (CWIN) activity could regulate pollen germination, elongation and fruit set under heat stress using tomato as a model. Plant reproductive processes are highly susceptible to heat stress, which often leads to pollination failure and fruit and seed abortion, hence irreversible yield loss. Research has established that CWIN-mediated sugar metabolism and signaling may play crucial roles in pollen growth and fruit set under heat stress. The intended outcome is the generation of critical knowledge that will advance understanding on reproductive development under heat stress, thereby providing significant benefits, such as novel ideas and solutions for improving crop yield.Read moreRead less
Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticul ....Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticultural programs to more easily breed varieties with desirable and highly marketable new colours, and could assist in conserving these amazing Australian plants.Read moreRead less
High-throughput single-molecule directed evolution. DNA polymerases are essential enzymes in many biotechnological tools, including DNA sequencing and PCR tests. However, existing DNA polymerases have limitations, resulting in inaccuracies and inefficiencies. Existing methods to improve polymerases lack sensitivity to screen for subtle, yet pivotal traits. This project aims to overcome this limitation by developing a new single-molecule directed-evolution system to evolve better polymerases. Wit ....High-throughput single-molecule directed evolution. DNA polymerases are essential enzymes in many biotechnological tools, including DNA sequencing and PCR tests. However, existing DNA polymerases have limitations, resulting in inaccuracies and inefficiencies. Existing methods to improve polymerases lack sensitivity to screen for subtle, yet pivotal traits. This project aims to overcome this limitation by developing a new single-molecule directed-evolution system to evolve better polymerases. With this new technology we aim to identify DNA polymerases with improved performance that benefit biotechnological applications. Additionally, these single-molecule directed-evolution methods will benefit the wider scientific community and lay the foundation for further advances in directed evolution.Read moreRead less
Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farm ....Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farming footprints. This innovative and first-of-its-kind project aims to develop a cost-effective, carbon negative fertiliser that reduces fertiliser inputs and increases soil carbon storageRead moreRead less
Physical realisation of enriched quantum symmetries. This project aims to investigate fundamental mathematical structures in modern category theory, providing an algebraic description of physical systems including topological order and conformal field theory. The project will study quantum symmetry, and classify and construct new classes of conformal field theories, using novel tools from enriched category theory, modular forms, and lattice gauge theory.
The main goal is to understand the lands ....Physical realisation of enriched quantum symmetries. This project aims to investigate fundamental mathematical structures in modern category theory, providing an algebraic description of physical systems including topological order and conformal field theory. The project will study quantum symmetry, and classify and construct new classes of conformal field theories, using novel tools from enriched category theory, modular forms, and lattice gauge theory.
The main goal is to understand the landscape of topological and conformal field theories, laying the foundation for new technologies based on topological order. This timely project capitalises on the recent arrival of subfactor experts in Australia, and builds capacity in mathematical research and international links in a cutting edge field.Read moreRead less