Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi ....Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101331
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Fundamental electromagnetic modelling of light-biological tissue interactions: a platform for future medical microscopy. Methods for modelling the fundamental electromagnetic interaction of light with biological tissue will be developed. This will allow a range of biomedical optical images to be properly interpreted ultimately leading to the holy grail of quick and minimally invasive methods for detecting cancer.
Optimal discrete-valued control strategies: A new direction in nonlinear optimal control. The field of optimal control is concerned with finding ways to manipulate systems in the best possible manner. The latest research in optimal control focuses primarily on systems in which the input variables are continuous-valued, yet many real-world systems are controlled via discrete input variables that assume values from a finite set - such as "On/Off", "Open/Closed", "Gear 1/2/3". This project will rev ....Optimal discrete-valued control strategies: A new direction in nonlinear optimal control. The field of optimal control is concerned with finding ways to manipulate systems in the best possible manner. The latest research in optimal control focuses primarily on systems in which the input variables are continuous-valued, yet many real-world systems are controlled via discrete input variables that assume values from a finite set - such as "On/Off", "Open/Closed", "Gear 1/2/3". This project will revolutionise the field of optimal control through the development of new theory and computational tools for optimising discrete input variables in constrained nonlinear systems. The new results will be applied to solve critical problems in the areas of shale-gas extraction, chromatography, pipeline transportation, and micro-robots.Read moreRead less
Transforming liquefied
natural gas (LNG) plant construction productivity through mobile computing technologies. Australia's liquefied natural gas (LNG) construction industry is plagued by major cost blowouts. This project will investigate a new mobile computing approach for streamlining LNG construction projects, thus yielding significant productivity gains.
Computed microscopy: solving the inverse problem of optical microscopy to image deeper into biological tissue. This project aims to enable 3D optical microscopy to image deeper within tissue, ultimately aiding research fields such as neurobiology. This will be achieved by a foundational approach called computed cicroscopy that combines novel numerical methods, high performance computing and optical microscopy. This project aims to develop a 3D quantitative imaging method that will provide unprec ....Computed microscopy: solving the inverse problem of optical microscopy to image deeper into biological tissue. This project aims to enable 3D optical microscopy to image deeper within tissue, ultimately aiding research fields such as neurobiology. This will be achieved by a foundational approach called computed cicroscopy that combines novel numerical methods, high performance computing and optical microscopy. This project aims to develop a 3D quantitative imaging method that will provide unprecedented insight into the structure of tissue with sub-cellular detail. This information can then be used to computationally reverse light scattering within the sample, allowing fluorescence microscopy at unprecedented depths within tissue.Read moreRead less
Real-time global optimisation for distributed parameter control systems. This project aims to develop real-time optimal control algorithms for distributed parameter systems involving both time and spatial variables and multiple time-delays, with a focus on mining and energy applications. Current optimal control algorithms for such systems are too slow for real-time use and often get trapped at local optima, which can be vastly inferior to the global solution. This project will result in a new op ....Real-time global optimisation for distributed parameter control systems. This project aims to develop real-time optimal control algorithms for distributed parameter systems involving both time and spatial variables and multiple time-delays, with a focus on mining and energy applications. Current optimal control algorithms for such systems are too slow for real-time use and often get trapped at local optima, which can be vastly inferior to the global solution. This project will result in a new optimal control framework, underpinned by recent advances in constraint propagation, switching surface optimisation, and input regularisation. It will result in cutting-edge mathematical tools to complement and exploit new technologies and optimise key processes in natural gas liquefaction and zinc and alumina production, increasing efficiency and reducing the ecological footprint. This project will lead to new cutting-edge control algorithms for replacing the inefficient manual operations endemic in Australia’s natural gas and mineral processing plants.Read moreRead less