Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technolo ....Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technologies such as fuel cells, metal air batteries and water splitting.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100383
Funder
Australian Research Council
Funding Amount
$344,446.00
Summary
Plasmonic hot-electron technologies for nanoscale energy conversion. This project aims to improve the efficiency of plasmonically enhanced hot-electron photodiodes for solar fuel generation and targeted photo-detection. This project is expected to make advances towards the development of effective devices which will directly impact a range of applications of local and global importance including alternative energy production, and the next generation of imaging and sensing technologies for the bi ....Plasmonic hot-electron technologies for nanoscale energy conversion. This project aims to improve the efficiency of plasmonically enhanced hot-electron photodiodes for solar fuel generation and targeted photo-detection. This project is expected to make advances towards the development of effective devices which will directly impact a range of applications of local and global importance including alternative energy production, and the next generation of imaging and sensing technologies for the biomedical and health industries.Read moreRead less
A new approach to stability analysis for economic systems. This project will provide a new methodology for analysing stability in economic systems. By enhancing our understanding of stability and instability in markets for assets, credit, commodities and natural resources, this project will help economists forecast likely outcomes and improve the formulation of related economic policy.
Discovery Early Career Researcher Award - Grant ID: DE130101605
Funder
Australian Research Council
Funding Amount
$289,000.00
Summary
Composing machine learning via market mechanisms. This project aims to better understand connections between learning algorithms and markets as aggregators of information and develop new, principled techniques for combining predictions. This will improve our ability to construct systems that make predictions based on multiple, complex and structured sources of data.
Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in e ....Generalised Energy Based Robust and Nonlinear Control Systems. This project aims to develop new energy-based theories of robust stability analysis and controller design for both linear and nonlinear systems, building on passivity and negative imaginary system theories and their physical interpretations along with stochastic optimal control theory. These control theories would allow for a wide range of plant dynamics in the design of high-performance robust control systems, enabling advances in emerging technologies including nanopositioning, micro-electromechanical systems and opto-mechatronics. The project plans to combine these theoretical advances with numerical methods involving advanced optimisation tools and the experimental implementation of nanopositioning control systems in atomic force microscopy.Read moreRead less
Governance of information technology programmes: achieving accountability, control and success. This project aims to improve the effectiveness with which IT-enabled programmes are managed by public and private organisations. The theoretical knowledge and guides for good practice emerging from this study will contribute to increased success in managing and delivering complex and vital programmes across Australia.
Information consensus and coordination of multiagent systems. Revolutions in information and communication technologies create a complex 'network of everything'. This project will develop advanced control techniques for such networks, to make the nation's power systems safer, to fly formations of unmanned airborne vehicles, and to extract key information from networks of environmental monitoring sensors.
Unified framework of intestinal motility. The project aims to establish how a few fundamental mechanisms determine the large repertoire of intestinal motor patterns responsible for moving nutrients along the digestive tract. The project will combine experimental and theoretical data, with biomechanical and electrophysiological models to create a new understanding of this essential function of the body.
Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measu ....Sensing a complex world: Infinite dimensional observer theory for robots. This project aims to develop the foundational theory and design paradigms to support the new generation of sensor systems crucial to enabling widespread robotic automation in unstructured environments such as mining, agriculture and urban transport. Modern dense robotic sensor modalities such as CMOS (complementary metal oxide semiconductor) sensors, LIDAR and dense acoustic arrays are best modelled as a fine grid of measurements from an infinite dimensional dynamical system. The project plans to develop infinite dimensional invariant observer theory to formulate implementable algorithms that run in real-time on embedded hardware, providing detailed information that enables robots to undertake tasks that are presently impossible with state-of-the-art sparse sensing paradigms.Read moreRead less
Geometric observer theory for mechanical control systems. The safety and performance of mechatronic systems such as autonomous drone aircraft and submersibles crucially depends on the algorithms controlling the system. By developing novel observer algorithms that are more stable and more robust this project will contribute to the competitiveness of Australian high-tech companies with mechatronic products.