Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, i ....Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms. Read moreRead less
The formation of stars and planets. This project will identify the mechanisms that create stars and planets, providing a sound basis for studying the birth of planetary systems with next-generation telescopes. It will maintain Australia's position at the forefront of astronomy and the advanced computational methods we shall develop will have applications in many other fields.
Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The ....Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The knowledge and models developed in this project should help design and develop a microfluidic device for efficient fractionation of complex fluids into valuable components.Read moreRead less
Particle segregation and dynamics in inertial microfluidics systems. This project aims to produce microfluidic devices suitable for high-throughput cell sorting and cellular therapy in the biopharmaceutical industry. This project will combine state-of-the-art experimental approaches with advanced modelling techniques to design and develop the new generation of filtration systems for the pharmaceutical industry. The knowledge and models developed in this project will assist design and development ....Particle segregation and dynamics in inertial microfluidics systems. This project aims to produce microfluidic devices suitable for high-throughput cell sorting and cellular therapy in the biopharmaceutical industry. This project will combine state-of-the-art experimental approaches with advanced modelling techniques to design and develop the new generation of filtration systems for the pharmaceutical industry. The knowledge and models developed in this project will assist design and development of a unique platform for scalable, high-throughput, low-cost and continuous cell separation.Read moreRead less
Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave sec ....Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave security scanners. This should provide benefits such as the capability to scan a crowd without a checkpoint, which will have the potential to improve security in public places.Read moreRead less