Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PT ....Identifying Malingered Posttraumatic Stress Disorder: Biological Markers for Legal Assessment. Posttraumatic stress disorder (PTSD) is the most common psychiatric disorder that is claimed in compensation claims in Australia. There are currently no reliable means to distinguish malingered from genuine PTSD. This project aims to develop the most accurate means of identifying malingered PTSD by using the most recent technology to index biological responses, including fMRI, in participants with PTSD, without PTSD, and malingered PTSD. This study will lead to a biological assessment that can objectively index PTSD and be resistant to intentional feigning. These data will significantly enhance legal assessments of PTSD and facilitate compensation resolution.Read moreRead less
Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in m ....Development of an Integrated Platform for Performance-Based Safety Assessment. Building fires are the cause of major fatalities and injuries amongst all types of accidental fires in Australia. With significant advancement in numerical simulation technique, computer models are becoming acceptable tools for fire safety designs. Nonetheless, these methods still suffer from large amount of manual inputs and lengthy computational times. This research project will address the prevalent deficiency in many of these computer models and develop a novel and innovative design methodology. The success of this project will revolutionize the computational tools for the industry realizing a convenient, robust and time-saving integrated platform catering for increasing future market demand.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
Investigating the effectiveness of teacher education for early career teachers in diverse settings: a longitudinal study. This project investigates the effectiveness of teacher education programs in Victoria and Queensland in preparing teachers for the variety of school settings in which they begin their careers. The findings will inform state and national policy, as well as the work of professional regulation authorities and teacher education providers.
Intercultural understanding in primary and secondary schools. What facilitates or impedes intercultural understanding in children, adolescents and schools? How can this be addressed? How can we know what makes a difference? This project answers these questions at the individual, school and national level using a novel cultural systems approach and methodological and technological innovations.
Would more highly-qualified teachers and trainers help to address quality problems in the Australian vocational education and training system? This project examines whether and how higher-level qualifications for vocational education and training (VET) teachers would improve quality in the VET system. Government documents and public commentary indicate that the VET sector suffers from some fairly serious quality problems. This is significant because VET provides training that underpins all Austr ....Would more highly-qualified teachers and trainers help to address quality problems in the Australian vocational education and training system? This project examines whether and how higher-level qualifications for vocational education and training (VET) teachers would improve quality in the VET system. Government documents and public commentary indicate that the VET sector suffers from some fairly serious quality problems. This is significant because VET provides training that underpins all Australian industries. Most VET teachers are qualified only to a Certificate IV level. A more highly qualified VET teaching workforce is likely to lead to improvements in quality; however there is currently no firm evidence to establish this link, as the 2011 Productivity Commission report on the VET workforce pointed out. This project aims to provide much-needed evidence to guide policy.Read moreRead less
An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain ....An MEG (brain imaging) system to study cognitive processing in children. This project introduces the world's first brain imaging system to study cognitive processing in children, using magnetoencephalography (MEG). MEG offers precise measurement of brain activities using a non-invasive, non-contact method. MEG is an ideal brain imaging device for use with children and with special clinical populations. It promises to be valuable (a) for the identification of cortical functions of the human brain prior to surgery, (b) for the diagnosis of loci for developmental and acquired brain disorders, (c) in determining pharmaceutical effects on children, and (d) in the assessment of recovery of sensory and cognitive functions following brain injury. Read moreRead less
Community-based STEM professional learning for teachers of middle years. This project aims to develop a novel community-based program that focuses on a museum-based, teacher professional development program which is based awareness and performance of middle year students in School Science, Technology, Engineering and Mathematics (STEM) education. Improving STEM workforce readiness is critical to producing a more creative society and a leading, dynamic economy. Building STEM education capacity th ....Community-based STEM professional learning for teachers of middle years. This project aims to develop a novel community-based program that focuses on a museum-based, teacher professional development program which is based awareness and performance of middle year students in School Science, Technology, Engineering and Mathematics (STEM) education. Improving STEM workforce readiness is critical to producing a more creative society and a leading, dynamic economy. Building STEM education capacity through access to professional learning and museum and STEM professional community resources is critically important for improving students’ proficiencies, attitudes, and interest in STEM. The project outcome will be to develop a STEM professional learning model that can be used to create a more skilled and educated STEM workforce. Read moreRead less
Empowering teachers of middle-years mathematics: becoming self-directed learners. This project will provide innovative strategies to enhance mathematics teaching and learning of middle-years students. It will develop a robust teacher learning development model that can be used by our industry partner and practitioners in the wider educational community to contribute to the development of teachers becoming self-directed learners.