Bio-inspired Computing for Problems with Dynamically Changing Constraints. The aim of this project is to design bio-inspired computing methods for dynamically changing environments. Dynamic problems arise frequently in the areas of engineering, logistics, and manufacturing. Such problems are usually subject to a large set of constraints that change over time due to changes in resources. Algorithms that can deal with such dynamic changes would benefit decision-makers. The project aims to provide ....Bio-inspired Computing for Problems with Dynamically Changing Constraints. The aim of this project is to design bio-inspired computing methods for dynamically changing environments. Dynamic problems arise frequently in the areas of engineering, logistics, and manufacturing. Such problems are usually subject to a large set of constraints that change over time due to changes in resources. Algorithms that can deal with such dynamic changes would benefit decision-makers. The project aims to provide a foundational theory as the basis for the design of bio-inspired algorithms dealing with dynamically changing constraints and provide approaches for dealing with important industrial problems.Read moreRead less
Computational Intelligence Methods for Financial Applications. Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as ....Computational Intelligence Methods for Financial Applications. Complex financial problems can be better addressed with software that can learn from available data and adapt to environmental changes. It is therefore essential to develop technologies that enable prediction and optimisation in constrained and dynamic environments. There are currently some limitations in existing business decision support systems despite their ubiquity providing an opportunity for Australia to be at the forefront as new standards in the field are developed. Furthermore, the fund management industry (particularly superannuation) is significant to the Australian economy and development of this technology has the potential to enhance its performance and reputation.Read moreRead less
Evolutionary diversity optimisation. This project aims to build up and establish the area of evolutionary diversity optimisation. The project will cover the design and application of evolutionary diversity optimisation methods to complex problems of significance and high national economic benefit and build up the theoretical foundations of these methods. The project is expected benefit decision makers by providing them a diverse set of high quality alternatives to choose from. This project will ....Evolutionary diversity optimisation. This project aims to build up and establish the area of evolutionary diversity optimisation. The project will cover the design and application of evolutionary diversity optimisation methods to complex problems of significance and high national economic benefit and build up the theoretical foundations of these methods. The project is expected benefit decision makers by providing them a diverse set of high quality alternatives to choose from. This project will allow them to make highly informed decisions and lead to more reliable solutions for optimisation problems, in areas of high economic impact such as manufacturing and supply chain management.Read moreRead less
The Analog Mind: Connectionism, Consciousness and Mental Representation. The aim of our project is to explore novel conjectures about the way information is coded and processed in the brain, and the manner in which the brain manufactures consciousness. This work may eventually pay rich dividends by reducing the incidence of mental illnesses, such as schizophrenia, that disturb conscious experience. It may also lead to the development of more powerful forms of computation in artificial neural ne ....The Analog Mind: Connectionism, Consciousness and Mental Representation. The aim of our project is to explore novel conjectures about the way information is coded and processed in the brain, and the manner in which the brain manufactures consciousness. This work may eventually pay rich dividends by reducing the incidence of mental illnesses, such as schizophrenia, that disturb conscious experience. It may also lead to the development of more powerful forms of computation in artificial neural networks. This will have a significant impact on the artificial intelligence industry, with obvious economic benefits for Australia.
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Parameterized Analysis of Bio-inspired Computing - From Theory to High Performing Algorithms. This project will establish the field of parameterised analysis of bio-inspired computing which includes prominent approaches such as evolutionary algorithms and ant colony optimisation. It will rigorously analyse features of instances of combinatorial optimisation problems and their impact on the runtime behaviour of bio-inspired computing methods. Furthermore, the project will design new bio-inspired ....Parameterized Analysis of Bio-inspired Computing - From Theory to High Performing Algorithms. This project will establish the field of parameterised analysis of bio-inspired computing which includes prominent approaches such as evolutionary algorithms and ant colony optimisation. It will rigorously analyse features of instances of combinatorial optimisation problems and their impact on the runtime behaviour of bio-inspired computing methods. Furthermore, the project will design new bio-inspired computing algorithms that make use of instance features and hardness characteristics. The results will advance the theoretical knowledge of bio-inspired computing, bridge the gap between theory and practice, and provide more powerful algorithms for complex optimisation problems occurring for example in the field of supply chain management for the mining industry.Read moreRead less
Heterodensity neuroimaging techniques for spatiotemporal identification and localization. Australia is at the forefront of research that is taking brain imaging and interfacing out of the lab and into the field. The technology being developed is spawning applications in areas as diverse as health, education, defense and national security, and will lead to resolution of longstanding theoretical debates as well as enabling new breakthroughs in understanding the biological concomitants of psycholo ....Heterodensity neuroimaging techniques for spatiotemporal identification and localization. Australia is at the forefront of research that is taking brain imaging and interfacing out of the lab and into the field. The technology being developed is spawning applications in areas as diverse as health, education, defense and national security, and will lead to resolution of longstanding theoretical debates as well as enabling new breakthroughs in understanding the biological concomitants of psychological function. This is significant given the push to develop biometrics of psychological function with enhanced sensitivity and specificity in clinical diagnosis, along with defense applications in evaluation of critical personnel and training. It also opens up a range of applications for mental control of remote or prosthetic devices.Read moreRead less
Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommenda ....Early career teacher induction: Supporting precarious teachers. This project aims to investigate the ways in which Australian induction policies support precariously employed early career teachers to effectively manage student classroom behaviour. This project expects to generate new knowledge of workforce development and induction experiences of early career teachers employed on casual and short-term contracts. Expected outcomes of this project include alternative policy and practice recommendations to support the transition of insecure replacement teachers within the profession. The benefits of this research include, improving teachers’ classroom management practices; the retention of new teachers; improving teacher workforce development; and building a healthier education system. Read moreRead less
Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, ....Improving flow management for the control of blue-green algal blooms. Cyanobacterial (blue-green algal) blooms are a major water quality problem worldwide. They are toxic, produce odours and are estimated to cost around $200 million/year in Australia alone. Flow management is one of the most promising approaches for combating the cyanobacterial bloom problem in rivers. In this research, a new risk-based approach for quantifying the impact of flow management on cyanobacterial blooms is developed, which can be applied to rivers world wide. The utility of the approach is demonstrated for key sites in the Murray-Darling basin, providing a valuable decision support tool for river managers.Read moreRead less
The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems ....The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems include dynamic scheduling (in the manufacturing sector), resource allocation optimisation (in the defence, mining, and agriculture sectors), and network design optimisation (in the telecommunications and energy sectors).Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less