Memetic algorithms for multiobjective optimisation problems in bioinformatics. Many questions of paramount importance in life sciences can be formulated as optimisation problems but using just a single criterion can be misleading. This project will address this problem using multiobjective optimisation and leveraging Australia's investment in supercomputing with algorithms that mimic evolutionary processes in silico.
Multiview Complete Space Learning for Sparse Camera Network Research. Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in ....Multiview Complete Space Learning for Sparse Camera Network Research. Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in a wide area of surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (for example, overcrowding, trespassing), criminal, and terrorist situations. Results will be applicable internationally and enhance Australia’s role in machine learning and computer vision communities.Read moreRead less
Big Data Machines: Internet-Scale Machine Learning Techniques to Combat the Curse of Big Data. The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data ma ....Big Data Machines: Internet-Scale Machine Learning Techniques to Combat the Curse of Big Data. The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data machine learning framework and open source website. The outcomes of this project will provide frontier technologies for big data analysis that will have social and economic impact in such areas as social media computing, bioinformatics and business intelligence, and enhance Australia’s global position in the pattern recognition and data mining communities.Read moreRead less
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.
The radio transient sky in real time. This project plans to use three new Australian telescopes to conduct the most comprehensive search ever made for transient sources. Transient phenomena (astronomical objects that appear and disappear or change rapidly) are laboratories for exploring some of the most extreme processes in the Universe. Radio astronomy is on the verge of a revolution in the study of transients, made possible by new technology. The project aims to leverage the learnings from the ....The radio transient sky in real time. This project plans to use three new Australian telescopes to conduct the most comprehensive search ever made for transient sources. Transient phenomena (astronomical objects that appear and disappear or change rapidly) are laboratories for exploring some of the most extreme processes in the Universe. Radio astronomy is on the verge of a revolution in the study of transients, made possible by new technology. The project aims to leverage the learnings from the new technology by developing intelligent algorithms able to extract weak signals from massive datasets to find rare and exotic objects ranging from extra-solar planets to gamma-ray bursts, exploring the unknown in ways that have previously not been possible. These algorithms may have broad impact in astronomy.Read moreRead less
Autonomous Agents and Systems with General Intelligence. Autonomous software agents and robotic systems with general intelligence are frontier technologies that have the potential to significantly enhance Australia's leading role in information and communication technology. A new generation of intelligent software is provided by computer programs that can adapt fully automatically to previously unknown situations without the need to be re-programmed. Innovative products will also emerge from a n ....Autonomous Agents and Systems with General Intelligence. Autonomous software agents and robotic systems with general intelligence are frontier technologies that have the potential to significantly enhance Australia's leading role in information and communication technology. A new generation of intelligent software is provided by computer programs that can adapt fully automatically to previously unknown situations without the need to be re-programmed. Innovative products will also emerge from a new generation of autonomous systems that are able to adapt to different environments.Read moreRead less
Mining multi-typed and dynamic graphs. Large volumes of data collected nowadays from real-world applications are often represented as graphs. The nodes and the edges of such graphs represent different types of entities and interactions, and they have time information. This project will develop algorithms that mine efficiently such multi-typed and dynamic graphs.
Delivering information suitable for studying spatial and temporal variability in benthic habitats using autonomous underwater vehicles. This project will develop the tools required to transform observations, made from autonomous underwater vehicles (AUV) of benthic habitats, into information that supports a better understanding of variability in benthic environments. This will allow for a coordinated and collaborative approach for data analysis and mapping to be undertaken.
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
Explicit methods in number theory: Computation, theory and application. This project aims to use explicit estimates to unify three problems in number theory: primitive roots, Diophantine quintuples, and linear independence of zeroes of the Riemann zeta-function. It will use computational and analytic number theory to reduce the quintuples problem to a soluble level. Pursuing relations between the zeta zeroes will overhaul many current results. This project will apply its findings about primitive ....Explicit methods in number theory: Computation, theory and application. This project aims to use explicit estimates to unify three problems in number theory: primitive roots, Diophantine quintuples, and linear independence of zeroes of the Riemann zeta-function. It will use computational and analytic number theory to reduce the quintuples problem to a soluble level. Pursuing relations between the zeta zeroes will overhaul many current results. This project will apply its findings about primitive roots to signal processing, cryptography and cybersecurity.Read moreRead less