Extending fuzzy logic. Fuzzy logic is good for dealing with uncertain data somewhat like people do, and this technique has been used in train braking systems, computer animation etc, but can be slow for problems with large or complex data especially if the data are changing with time. The project will design efficient fuzzy logic algorithms capable of dealing with complex real world problems.
User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating conc ....User-task co-adaptation for effective interactive simulation environments. This project aims to deliver smart interactive simulation environments in which users and simulation tasks work together. This project aims to create novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. Interactive simulation environments are the backbone for evaluating concepts, designs, products and advanced training systems in industry and government organisations. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimised. Intended outcomes include novel dynamic user-task profiling algorithms and new adaptive algorithms for user-task co-adaptation. Practical outcomes may include robust and highly effective simulation environments.Read moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.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.
Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to ....Probabilistic modeling of human responses in complex interaction. The project aims to develop computational ability to reliably detect and hence act on implicit user preferences. It aims to develop techniques combining advanced non-intrusive sensor measures of conscious and non-conscious behaviour during interaction tasks to enable very high-level computerised support for human goal-seeking in complex data and design environments. It plans to use a user’s physiology and preference evaluation to capture their complex interaction with the data they view, probability models to accumulate information to identify their underlying preferences and extract relationships to find possible ‘hidden variables’ which may help explain and leverage the user's choices.Read moreRead less
Discovering Patterns using Near Unsupervised Leaning to Support the Quick Detection of New Animal Disease Outbreaks Caused by Viruses. Without the capability to identify and study the vast majority of extant viruses using traditional laboratory techniques, emerging threats to Australian livestock health cannot be efficiently diagnosed or treated. New approaches based on high-throughput sequencing have recently been developed to study such viruses, but making sense of the sequence data is still a ....Discovering Patterns using Near Unsupervised Leaning to Support the Quick Detection of New Animal Disease Outbreaks Caused by Viruses. Without the capability to identify and study the vast majority of extant viruses using traditional laboratory techniques, emerging threats to Australian livestock health cannot be efficiently diagnosed or treated. New approaches based on high-throughput sequencing have recently been developed to study such viruses, but making sense of the sequence data is still a complex problem. Together with the project's Partner Organisations, including YourGene Biosciences Australia and the CSIRO Australian Animal Health Laboratory, this project aims to develop new computational methods to broaden the scope of detection and analysis of unknown viruses, enhancing the capability for research into the causative viral agents of animal diseases.Read moreRead less
Animals response to extreme climatic events. Climate change is causing extreme climatic events, such as floods and heat waves, to become more frequent. This project will investigate by which mechanism animals can adjust to extreme climatic events and whether the response is fast enough to avoid extinction, thereby providing urgently needed insights into the natural resilience of Australian fauna.
Discovery Early Career Researcher Award - Grant ID: DE140101481
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Integrating ecology and evolution: how does sexual selection affect population fitness and extinction? Improving our understanding of population fitness could produce important new advances in evolutionary and conservation biology. Sexual selection has been proposed to both help and harm population fitness, but unfortunately these opposing effects have been studied in isolation. This project will develop new theory to resolve confusion over the definition of population fitness and its relationsh ....Integrating ecology and evolution: how does sexual selection affect population fitness and extinction? Improving our understanding of population fitness could produce important new advances in evolutionary and conservation biology. Sexual selection has been proposed to both help and harm population fitness, but unfortunately these opposing effects have been studied in isolation. This project will develop new theory to resolve confusion over the definition of population fitness and its relationship with sexual selection. It also proposes ambitious experimental evolution and quantitative genetic studies that will empirically measure the net effect of sexual selection on population fitness and extinction. This project aims to catalyse a change in the study of population fitness and address a conspicuous gap in contemporary evolutionary biology.Read moreRead less
The intensity of sexual selection with density and age and its importance in the evolution of animal populations. Australia is internationally highly regarded for the quality of its research into the basic biology of its fauna. This study will provide information on the breeding biology of an endemic marine species distributed across the Northern tropics of Australia. It addresses a pure research question of great theoretical interest. However, it also provides valuable training opportunities fo ....The intensity of sexual selection with density and age and its importance in the evolution of animal populations. Australia is internationally highly regarded for the quality of its research into the basic biology of its fauna. This study will provide information on the breeding biology of an endemic marine species distributed across the Northern tropics of Australia. It addresses a pure research question of great theoretical interest. However, it also provides valuable training opportunities for postgraduate students in the practicalities of conducting tropical field biology and the execution of field experiments. These are essential skills that can readily be transferred to applied biological problems. Maintaining a pool of skilled field biologists is essential for the on-going success of programmes in conservation and ecosystem management. Read moreRead less
Fighting for space: How do weaker individuals compete? Animals fight for territories and larger, stronger individuals usually win. How then, in fiddler crabs, do small males and weaponless females defend their territories against larger males? I will investigate four contexts in which strength alone may not determine fighting success. I predict that: (a) positional and motivational advantages allow territory owners to repel intruders; (b) weak individuals compete with stronger neighbours by 'nag ....Fighting for space: How do weaker individuals compete? Animals fight for territories and larger, stronger individuals usually win. How then, in fiddler crabs, do small males and weaponless females defend their territories against larger males? I will investigate four contexts in which strength alone may not determine fighting success. I predict that: (a) positional and motivational advantages allow territory owners to repel intruders; (b) weak individuals compete with stronger neighbours by 'nagging' rather than by winning fights; (c) residents form coalitions to fend off intruders; and d) females, who lack the large claws of males, employ novel alternative tactics to maintain territories.This study will test important theories of territoriality and in so doing make a major contribution to behavioural ecology.
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