Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less
Interaction between consolidation and lubrication of biological joints. This project aims to develop a computational model to be used in conjunction with experimental studies to understand complex lubrication systems in biological joints. Nature has equipped biological joints with a remarkable ability to achieve ultralow friction even at relatively high contact force, however the mechanisms used remain uncertain. This project intends to provide a deeper, fundamental understanding of the friction ....Interaction between consolidation and lubrication of biological joints. This project aims to develop a computational model to be used in conjunction with experimental studies to understand complex lubrication systems in biological joints. Nature has equipped biological joints with a remarkable ability to achieve ultralow friction even at relatively high contact force, however the mechanisms used remain uncertain. This project intends to provide a deeper, fundamental understanding of the friction and contact mechanisms occurring in biological joints. The project outcomes could lead to bioinspired innovation in future engineering design and advancements in materials science that have the potential to significantly benefit Australian society.Read moreRead less
A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, th ....A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.Read moreRead less
Neuroimage as biomechanical model: new real-time computational biomechanics of the brain. This project is to extend to medicine the success computational mechanics has enjoyed in traditional engineering. The project will create enabling modelling and computing technologies for Computer-Integrated Surgery Systems that could help to improve clinical outcomes and the efficiency of health care delivery.
Quantitative structural health assessment of large membrane-like structures. This project aims to develop a new approach, based on remote sensing and computational modelling, to assess and manage the structural health of large floating covers used for odour control and biogas harvesting to prevent unexpected failures. The project has potential benefits for high-value-added manufacturing and maintenance of these floating covers by Australian industry.
Benign recovery of precious metals from deep pristine environments. This project aims to extract precious metals from natural deposits conventional mining methods cannot reach. Glycine-peroxide systems can dissolve precious metals without pollution. Understanding these systems’ behaviour in natural orebodies could lead to in-situ leaching methods that complement conventional mining, especially in low grade deposits. This project intends to use a modern scientific workflow based on exploratory, d ....Benign recovery of precious metals from deep pristine environments. This project aims to extract precious metals from natural deposits conventional mining methods cannot reach. Glycine-peroxide systems can dissolve precious metals without pollution. Understanding these systems’ behaviour in natural orebodies could lead to in-situ leaching methods that complement conventional mining, especially in low grade deposits. This project intends to use a modern scientific workflow based on exploratory, descriptive and explanatory phases to model the coupled multi-physics of precious metals transport, introduce a high performance computing strategy for in-situ leaching, develop an experimental protocol that explains the recovery mechanisms, and propose optimal leaching patterns that maximise productivity.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
A stochastic geometric framework for Bayesian sensor array processing. This project develops a mathematical framework, and a new generation of techniques, for sensor array processing to address real-world problems with uncertainty in array parameters and number of signals. The outcomes will enhance the capability of sensors in many application areas including, radar, sonar, astronomy and wireless communications.
Discovery Early Career Researcher Award - Grant ID: DE160100959
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Adsorptive removal of mercury from natural gas by carbonaceous material. The project aims to improve understanding of the adsorption mechanism of mercury removal from natural gas with porous carbon materials, by applying novel molecular simulation tools. An increasing number of Australian gas reservoirs have been found to contain higher levels of mercury than the specified safety, environment and product requirements. Although most of the current methods of mercury removal are based on adsorptio ....Adsorptive removal of mercury from natural gas by carbonaceous material. The project aims to improve understanding of the adsorption mechanism of mercury removal from natural gas with porous carbon materials, by applying novel molecular simulation tools. An increasing number of Australian gas reservoirs have been found to contain higher levels of mercury than the specified safety, environment and product requirements. Although most of the current methods of mercury removal are based on adsorption technology, its development and use to full potential has been impeded by a lack of understanding. This project aims to investigate the fundamental mechanism of mercury removal from natural gas with adsorption methods at the molecular level. The project is intended to pave the way for optimal design of mercury removal systems.Read moreRead less
ARC Centre of Excellence for Engineered Quantum Systems. The future of technology lies in controlling the quantum world. The ARC Centre of Excellence for Engineered Quantum Systems (EQuS) will deliver the building blocks of future quantum technologies and, critically, ensure Australian primacy in this endeavour. Three strategic research programs will target Quantum Measurement and Control; Synthetic Quantum Systems and Simulation; and Quantum-Enabled Sensors and Metrology. Within these programs, ....ARC Centre of Excellence for Engineered Quantum Systems. The future of technology lies in controlling the quantum world. The ARC Centre of Excellence for Engineered Quantum Systems (EQuS) will deliver the building blocks of future quantum technologies and, critically, ensure Australian primacy in this endeavour. Three strategic research programs will target Quantum Measurement and Control; Synthetic Quantum Systems and Simulation; and Quantum-Enabled Sensors and Metrology. Within these programs, our Centre will exploit the deepest principles and resources of quantum physics to solve specific problems in engineering, chemistry biology and medicine, stimulating the Australian scientific and engineering communities to exploit (and benefit from) transformative quantum devices.Read moreRead less