Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology a ....Topology Optimisation for Three-dimensional Periodic Nanophotonic Structures. Three-dimensional dielectric and/or metallic nanophotonic structures are of critical importance to a wide variety of applications ranging from sensing and biomedicine to imaging and information technology. This project aims to establish effective and efficient topology optimisation algorithms for the designs of nanophotonic structures with specific functional properties. The expected outcome will be a new methodology and an advanced design tool for scientists and engineers to create novel nanophotonic structures to improve capabilities in devices such as waveguides, sensors, optical computer chips, superlenses and so on.Read moreRead less
Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes inc ....Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes include the creation of intelligent photonic sensors that can, in principle, measure any environmental parameter using any optical waveguide material. It will create new critically needed measurement capabilities for challenging harsh environments, such as extreme temperature and in-vivo biochemical sensing.Read moreRead less
Beyond Spectral Detection: Engineering SUPER Dot Probes for High-Throughput Discovery. Molecules that are altered as a result of a pathological condition are generally present in very low abundance, and pose a “needle-in-a-haystack” problem. Current detection, quantification and localisation technologies use fluorescent probes that are limited by sensitivity and analysis time. This project will develop a new generation of nanophotonic luminescent probes (Strong Upconversion Photo-stable Encoded ....Beyond Spectral Detection: Engineering SUPER Dot Probes for High-Throughput Discovery. Molecules that are altered as a result of a pathological condition are generally present in very low abundance, and pose a “needle-in-a-haystack” problem. Current detection, quantification and localisation technologies use fluorescent probes that are limited by sensitivity and analysis time. This project will develop a new generation of nanophotonic luminescent probes (Strong Upconversion Photo-stable Encoded nano-Radiators (SUPER) Dots), based on purpose-engineered up-conversion nanocrystals that are ultra-bright and have low background interference, high specificity, speed, and large-scale multiplexing capacity. These probes will allow microscopy and flow cytometry to measure hitherto undetectable rare-event molecules and cells, opening new frontiers for the discovery of new biomarkers.Read moreRead less
Autonomous body sensors in humans: investigating new bio-sensing techniques with self-power generation. Using advanced integrated electronic and mechanical systems, it is now possible to design small biomedical sensors that can be inserted into the body to take biological measurements. This project introduces a new kind of bio-sensors with self-energy generation capability and reduces the need for periodic battery replacement. New wireless and circuit techniques are investigated to reduce power ....Autonomous body sensors in humans: investigating new bio-sensing techniques with self-power generation. Using advanced integrated electronic and mechanical systems, it is now possible to design small biomedical sensors that can be inserted into the body to take biological measurements. This project introduces a new kind of bio-sensors with self-energy generation capability and reduces the need for periodic battery replacement. New wireless and circuit techniques are investigated to reduce power consumption and physical dimensions, while providing a better performance and a safer wireless link. The project aims to deliver high level of comfort, better mobility and better patient care.Read moreRead less
Mechanics of innovative high precision rolling technology in micromanufacturing. This project will focus on the establishment of high precision rolling technology for manufacturing microparts in Australia by using a unique profile and flexible rolling method. A successful outcome will provide an important breakthrough in the microrolling area and new knowledge for advanced micromanufacturing technology and its applications.
Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the ....Dynamic multi-modal x-ray imaging. This project aims to create sensitive new methods of x-ray imaging that capture multiple image modalities with a single snapshot. Conventional x-ray imaging is widely used in a range of industries, but captures only a fraction of the rich information that is available in the x-ray wavefield. This project expects to extract additional image modalities to reveal x-ray-transparent features, and detect microscopic textures. By combining these capabilities with the ability to capture images of a moving sample, this project will enable innovative biomedical and materials research studies, and develop new imaging technologies for use in security, hospitals and manufacturing. New methods of x-ray imaging will have wide-ranging benefits for society, the economy and healthcare.Read moreRead less
Non-destructing X-ray testing. This project aims to improve imaging with X-rays, providing better image quality with higher throughput at a lower radiation dose. It will develop an X-ray imaging system that provides orders of magnitude greater sensitivity for detecting low-density objects that are often invisible with conventional X-ray scanners, and quantitative image analysis tools that can isolate materials from complex multi-material samples and detect individual chemical elements. Significa ....Non-destructing X-ray testing. This project aims to improve imaging with X-rays, providing better image quality with higher throughput at a lower radiation dose. It will develop an X-ray imaging system that provides orders of magnitude greater sensitivity for detecting low-density objects that are often invisible with conventional X-ray scanners, and quantitative image analysis tools that can isolate materials from complex multi-material samples and detect individual chemical elements. Significant benefits from these technologies are expected in industries including airport security, mining, agriculture, manufacturing quality control, and in research fields from medicine to geology.Read moreRead less
Advanced biosensing in the terahertz (THz) sub-wavelength regime. This project will build on Australian excellence in photonics, exploiting the advanced use of T-rays for sensing of biological substances such as proteins and DNA. For the first time, this will enable contactless automated sensing for high-speed medical screening of diseases, a critical step toward the ultimate vision of customised medicine.
Advanced Hybrid Fibres for Functional Biomedical Imaging. This project expects to develop new techniques and devices for biomedical imaging. Biomedical imaging is widely used for medical diagnosis and treatment, with different types of imaging providing different information. This project aims to develop techniques that will allow imaging using safer nonionising terahertz radiation, with better resolution than ever before. It plans to combine this with optical, visible and infrared imaging to gi ....Advanced Hybrid Fibres for Functional Biomedical Imaging. This project expects to develop new techniques and devices for biomedical imaging. Biomedical imaging is widely used for medical diagnosis and treatment, with different types of imaging providing different information. This project aims to develop techniques that will allow imaging using safer nonionising terahertz radiation, with better resolution than ever before. It plans to combine this with optical, visible and infrared imaging to give very broad spectral information. It also aims to develop probes for direct interfacing to tissue to collect and deliver electrical signals, light and fluids, and to image neural activity. The intended outcome of the project is to allow single cancer cells within tissue to be identified to allow early stage cancer detection, and to develop implantable devices for neuroscience research and pain management.Read moreRead less
Revealing how the human brain coordinates body movements for applications in health and technology. This project will extend the basic understanding about how the brain controls the movements of our bodies, and how it changes to allow us to adapt and refine our movements. This project will generate information that is critical for applications in the fields of health (e.g. rehabilitation) and technology (e.g. human-machine interfaces).