Checking the validity of photographic identification documents: Enhancing the performance of security personnel through increased understanding of unfamiliar face processing. The ability to accurately establish the identity of an individual is central to the national security of Australia. Identity checking often relies on facial photographs contained on passports and other documents. Despite the introduction of automated systems, the decision whether a photograph is of a person rests with human ....Checking the validity of photographic identification documents: Enhancing the performance of security personnel through increased understanding of unfamiliar face processing. The ability to accurately establish the identity of an individual is central to the national security of Australia. Identity checking often relies on facial photographs contained on passports and other documents. Despite the introduction of automated systems, the decision whether a photograph is of a person rests with human operators. Research by CI has demonstrated that this task is difficult and error prone. The proposed research seeks to improve performance by developing a fuller understanding of the nature of the task and the limits of the operators' abilities and by testing possible training and selection procedures.Read moreRead less
Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any th ....Emergency Control of Catastrophic Disturbances in a Power System. Following the tragic events of 11 September 2001, there are increased concerns about the security and robustness of power systems to evolving spectra of threats, such as natural disasters (e.g., earthquakes and hurricanes), equipment failure, human error, or deliberate sabotage and attack by terrorists. In this project, pattern recognition of local parameter changes in distributed monitoring systems will be used to identify any threatened breakdown in the power system. Once identified, methods based on intelligent agents will be used to trigger the appropriate countermeasures to maintain the integrity of transmission grids.Read moreRead less
Disgust as a psychosocial defence against infectious disease. Globally, around 1 in 4 deaths result from infectious disease. Humans have evolved two basic means to combat this - an immune system and behaviours to avoid getting sick. This project examines one such behaviour, disgust, and aims to determine its role in disease avoidance. Studying disgust can lead to novel insights into behaviours as diverse as risky sexual decision-making and illness-related stigmatisation (e.g. of people with AID ....Disgust as a psychosocial defence against infectious disease. Globally, around 1 in 4 deaths result from infectious disease. Humans have evolved two basic means to combat this - an immune system and behaviours to avoid getting sick. This project examines one such behaviour, disgust, and aims to determine its role in disease avoidance. Studying disgust can lead to novel insights into behaviours as diverse as risky sexual decision-making and illness-related stigmatisation (e.g. of people with AIDS or cancer). Disgust can also be used to directly improve human health. For example, it can be exploited to boost hand hygiene. If widely applied, this simple measure could annually save an estimated 1.5 million children's lives, reduce rates of flu, colds, food poisoning and hospital acquired infections.Read moreRead less
Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a ....Unifying Modern Approaches in Machine Learning. The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a provider of sophisticated machine learning software; it will provide training opportunities for several PhD students and a postdoc to work with some of the best machine learning researchers in the world.Read moreRead less
Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interacti ....Teaching Software Agents to Play. This project is fundamental to computational intelligence and human brain science. Both strongly impact on the community and the nation. They form the backbone of contemporary information science and are key to our National Research Priorities. This research is of great community benefit. Our results will enable everyone to rapidly search, analyse and interpret vast amounts of information that is irretrievable by current methods. They will also enliven interactive entertainment by spontaneously creating unique, tailor-made music. In sum, we are making a leap forward in the crucial area of collaborative intelligence.Read moreRead less