Multivariate Algorithmics: Meeting the Challenge of Real World computational complexity. This Project will result in better methods for designing the algorithms that all computer applications depend on. Algorithms are the instruction sets that tell computers how to process information. Some information processing tasks are intrinsically difficult, even for computers working at enormous speeds. This Project will deliver new mathematical approaches to overcome these difficulties. More efficient al ....Multivariate Algorithmics: Meeting the Challenge of Real World computational complexity. This Project will result in better methods for designing the algorithms that all computer applications depend on. Algorithms are the instruction sets that tell computers how to process information. Some information processing tasks are intrinsically difficult, even for computers working at enormous speeds. This Project will deliver new mathematical approaches to overcome these difficulties. More efficient algorithmic approaches for difficult problems enable advances in all areas of computer applications such as medical diagnosis and health prediction, national security, communications efficiency, industrial productivity and all fields of science and engineering.Read moreRead less
Local reoptimization for turbocharging heuristics. Theoretical computer science has up until now had little impact on the design of effective heuristics. While data sets may be large, significant structure is almost always present and important to take into account when designing algorithms. Parameterised complexity considers the underlying structure by parameterising not only on the size of the input but also on structural parameters. This project aims to take advantage of the many opportunitie ....Local reoptimization for turbocharging heuristics. Theoretical computer science has up until now had little impact on the design of effective heuristics. While data sets may be large, significant structure is almost always present and important to take into account when designing algorithms. Parameterised complexity considers the underlying structure by parameterising not only on the size of the input but also on structural parameters. This project aims to take advantage of the many opportunities for new theories in the design of new heuristics and in turbocharging existing heuristics for computationally hard problems.Read moreRead less
Skin Microbes and Animal Health: Understanding the Ecological Context. This project aims to understand the fundamental ecological relationships between animal hosts (frogs, geckos) and bacteria on their skin by separating host effects from environmental factors that determine skin microbiome composition. The research is significant because it will generate new knowledge needed to understand how skin microbes function in providing protection against disease. Expected outcomes include the provisio ....Skin Microbes and Animal Health: Understanding the Ecological Context. This project aims to understand the fundamental ecological relationships between animal hosts (frogs, geckos) and bacteria on their skin by separating host effects from environmental factors that determine skin microbiome composition. The research is significant because it will generate new knowledge needed to understand how skin microbes function in providing protection against disease. Expected outcomes include the provision of essential information that will guide future research efforts on the factors that determine a healthy skin microbial community (which is needed before skin diseases can be combated). The research will provide significant benefits, including more targeted conservation efforts to combat wildlife skin diseases.Read moreRead less
Collaborative science for monitoring of Northern Territory marine megafauna. The project’s aim is to map population connectivity and critical habitat for coastal marine megafauna in remote northern Australian waters, providing a more informed scientific base for biodiversity monitoring and management. The project will employ cutting edge methods in genetics and movement ecology and unite Indigenous rangers with marine national park managers and scientists. Expected outcomes include enhanced capa ....Collaborative science for monitoring of Northern Territory marine megafauna. The project’s aim is to map population connectivity and critical habitat for coastal marine megafauna in remote northern Australian waters, providing a more informed scientific base for biodiversity monitoring and management. The project will employ cutting edge methods in genetics and movement ecology and unite Indigenous rangers with marine national park managers and scientists. Expected outcomes include enhanced capacity for monitoring and conservation planning and new partnerships that will improve research capacity in remote environments. Benefits include environmental management led by Indigenous Traditional Owners, sea rangers and marine park managers, and conservation benefits to coastal dolphin and sea turtle species.Read moreRead less