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
Laser emission at the limit of glass transparency using nanocrystal doping . We will create a new composite glass providing strong fluorescence which fully exploits the high transmission of glass in the mid-infrared. When combined with emerging rare earth ion transitions and precise excitation processes, this project will help solve an important problem in optics; that the overall efficiency and power produced from deep mid-infrared light sources is not sufficient for all industries. The primary ....Laser emission at the limit of glass transparency using nanocrystal doping . We will create a new composite glass providing strong fluorescence which fully exploits the high transmission of glass in the mid-infrared. When combined with emerging rare earth ion transitions and precise excitation processes, this project will help solve an important problem in optics; that the overall efficiency and power produced from deep mid-infrared light sources is not sufficient for all industries. The primary outcome will be a series of robust fibre-based gain modules suitable for high power and very short optical pulses in the mid-infrared. These light sources will beneficially impact medicine, defence, sensing and manufacturing providing excellent opportunities for increasing Australian productivity and global competitiveness. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100094
Funder
Australian Research Council
Funding Amount
$220,000.00
Summary
Macromolecular characterisation and purification facility. In-depth characterisation of (bio)macromolecules and nanomaterials is fundamental to understanding their properties and application to advanced materials and technologies. The three new instruments at this facility dedicated to the purification, separation and characterisation of these compounds will provide an essential resource for polymer/materials research.
Compact and versatile chip lasers for three-dimensional mine surveying. This project will bring together a world leading mine survey company, The University of Adelaide and Macquarie University researchers, to develop an 'eye-safe' micro laser for high resolution three-dimensional laser-mapping. The recently developed and patented 'chip' laser will allow the realisation of a compact, enhanced range laser-radar with unmatched resolution.
Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift ....Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.Read moreRead less
Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
Extreme temperature monitoring for minerals and metals processing. This project aims to extend the capabilities of the optical fibre temperature sensor technology developed by the research team, based on microstructured optical fibres and femtosecond laser ablation fibre Bragg gratings, to conduct a range of measurements inside industrial furnace environments that are impossible using existing technology. This device will also be validated within the furnaces located at the minerals and metals p ....Extreme temperature monitoring for minerals and metals processing. This project aims to extend the capabilities of the optical fibre temperature sensor technology developed by the research team, based on microstructured optical fibres and femtosecond laser ablation fibre Bragg gratings, to conduct a range of measurements inside industrial furnace environments that are impossible using existing technology. This device will also be validated within the furnaces located at the minerals and metals processing facility operated by Nyrstar in Port Pirie. This project is designed to enable smelter operators to improve production efficiency, reduce energy consumption, and minimise equipment failure.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100036
Funder
Australian Research Council
Funding Amount
$4,999,600.00
Summary
ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical ....ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical production, more resilient spacecraft and robust regulatory frameworks. Industries and communities will benefit from a future workforce prepared for safe adoption, development and delivery of emerging techniques and advanced radiation technologies, enhancing Australia’s prosperity and security.Read moreRead less