A silicon-compatible light source on a silicon-on-insulator platform. Silicon is emerging as an important photonic material owing to the cheap processing methods developed for electronics. This project aims to capture key technology for integrating photonic components onto silicon. It can bring social and commercial benefits to Australia such as high-level research as well as opportunities for commercialisation.
Nonlinear and tunable topological states of light and sound. This project aims to provide deep theoretical insights into the physics of electromagnetic and mechanical topological states by bridging fundamental concepts of optics, optomechanics and nonlinear physics. The rapidly expanding digital world calls for a new generation of photonic devices to transmit and process information without losses. Recently discovered topological phases open unique opportunities to realise topological states of ....Nonlinear and tunable topological states of light and sound. This project aims to provide deep theoretical insights into the physics of electromagnetic and mechanical topological states by bridging fundamental concepts of optics, optomechanics and nonlinear physics. The rapidly expanding digital world calls for a new generation of photonic devices to transmit and process information without losses. Recently discovered topological phases open unique opportunities to realise topological states of light that are inherently immune to scattering losses. This multidisciplinary project aims to bridge fundamental topological physics with nonlinear nanophotonics and optomechanics by developing novel concepts of topological systems, dynamically tunable by nonlinearity. An expected outcome of this project is new approaches to control both light and sound dynamically in complex nanoscale structures, and uncover disorder-immune technologies for applications in on-chip communications and information processing.Read moreRead less
Selective area nano-epitaxy. A new major program will be initiated to investigate the epitaxial growth of certain semiconductor nanowires on patterned substrates, without the use of a catalyst. It will result in the ability to produce nanowires of high quality and uniformity. This will lead the way for new and advanced concept nanowire-based devices for future applications.
Antimonide-based nanowires for infra-red and energy applications. This project will investigate and to understand the fundamental growth mechanisms of antimonide-based semiconductor nanowires. It will result in the ability to produce nanowires of high quality and uniformity for applications in infra-red technologies such as photodetectors and solar cells.
Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte ....Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.Read moreRead less
Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory a ....Declarative Networks: Towards Robust and Explainable Deep Learning. The aim of this project is to develop declarative machine learning techniques that exploit inherent structure and models of the world. Deep learning has become the dominant approach for machine learning with many products and promises built on this technology. But deep learning is expensive, opaque, brittle and relies solely on human labelled data. This project intends to make deep learning more reliable by establishing theory and algorithms that allow physical and mathematical models to be embedded within a deep learning framework, providing performance guarantees and interpretability. This would likely benefit machine learning based products that can understand the world and interact with humans naturally through vision and language.Read moreRead less
Plasma touches life: advancing plasma technologies for the life sciences. The aim of this project is to develop a mechanistic understanding of how electrically excited gas (plasma) jets deliver reactive oxygen and nitrogen species into tissue, ensuring safety and precision in their use to combat disease. Overcoming barriers in delivery is intended to help realise the full potential of plasma in the life sciences. The project is expected to generate new knowledge across physics, chemistry and bio ....Plasma touches life: advancing plasma technologies for the life sciences. The aim of this project is to develop a mechanistic understanding of how electrically excited gas (plasma) jets deliver reactive oxygen and nitrogen species into tissue, ensuring safety and precision in their use to combat disease. Overcoming barriers in delivery is intended to help realise the full potential of plasma in the life sciences. The project is expected to generate new knowledge across physics, chemistry and biology, leading to new approaches for the future development of plasma technologies. This should provide significant benefits by expanding the human capacity of research in plasma, and in growing the advanced manufacturing of plasma devices for future applications in engineering, biology and health.Read moreRead less
Optimisation for next generation machine learning. As more and more data are being collected, it is important to build intelligent systems which will can analyse these data efficiently. This project will take design and analyse new algorithms which take advantage of emerging paradigms in hardware such as multicore processors, graphic processing units (GPU), and cluster computers to achieve this goal.
Topological data analysis for enhanced modelling of the physical properties of complex micro-structured materials. The way water flows through sandstone depends on the connectivity of its pores, the balance of forces in a grain silo on the contacts between individual grains, and the impact resistance of metal foam in a car door on the arrangement of its cells. These structural properties are described mathematically by topology. Advanced three-dimensional X-ray imaging can now reveal the interna ....Topological data analysis for enhanced modelling of the physical properties of complex micro-structured materials. The way water flows through sandstone depends on the connectivity of its pores, the balance of forces in a grain silo on the contacts between individual grains, and the impact resistance of metal foam in a car door on the arrangement of its cells. These structural properties are described mathematically by topology. Advanced three-dimensional X-ray imaging can now reveal the internal detail of micro-structured materials. Recent developments in image analysis mean it is possible to compute accurate topological information from such images. This project aims to investigate how fundamental measures of shape influence the physical properties of complex materials and clarifies the mathematics that underpins these relationships.Read moreRead less
Understanding grassy woodlands as whole ecosystems. Restoring Australia's once vast grassy woodlands needs a sound understanding of the whole ecosystem and robust scientific evidence to inform conservation action. This project will generate such evidence by establishing a National Outdoor Laboratory to inform the sustainable management of our nation's precious remaining woodlands.