ORCID Profile
0000-0001-9240-0922
Current Organisations
CSIRO
,
Nvidia (United States)
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Medical and Health Sciences not elsewhere classified | Medical Biochemistry and Metabolomics | Environmental Science and Management | Environmental Monitoring | Pattern Recognition and Data Mining | Biochemistry and Cell Biology not elsewhere classified | Medical Biochemistry and Metabolomics not elsewhere classified | Computer-Human Interaction
ANZSRC Socio-Economic Objective (SEO)
Effects of Climate Change and Variability on Australia (excl. Social Impacts) | Ecosystem Assessment and Management at Regional or Larger Scales | Information Processing Services (incl. Data Entry and Capture) | Expanding Knowledge in the Agricultural and Veterinary Sciences | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Medical and Health Sciences |
Related Links
Publications
Application of digital twins for remote operation of membrane capacitive deionization (mCDI) systems
Publisher: Elsevier BV
Date: 03-2022
Collaborative Data Analytics Using Virtual Reality
Publisher: IEEE
Date: 03-2019
Suppressing Rayleigh-Benard convection in a cube using a strong magnetic field - Experimental heat transfer rate measurements and flow visualization
Publisher: Elsevier BV
Date: 02-2009
Influence of a horizontal magnetic field on the natural convection of paramagnetic fluid in a cube heated and cooled from two vertical side walls
Publisher: Elsevier BV
Date: 06-2008
Making graph visualization a user-centered process
Publisher: Elsevier BV
Date: 10-2018
A feature alignment score for online cone‐beam CT ‐based image‐guided radiotherapy for prostate cancer
Publisher: Wiley
Date: 08-06-2018
DOI: 10.1002/MP.12980
Abstract: To develop a method for scoring online cone-beam CT (CBCT)-to-planning CT image feature alignment to inform prostate image-guided radiotherapy (IGRT) decision-making. The feasibility of incorporating volume variation metric thresholds predictive of delivering planned dose into weighted functions, was investigated. Radiation therapists and radiation oncologists participated in workshops where they reviewed prostate CBCT-IGRT case ex les and completed a paper-based survey of image feature matching practices. For 36 prostate cancer patients, one daily CBCT was retrospectively contoured then registered with their plan to simulate delivered dose if (a) no online setup corrections and (b) online image alignment and setup corrections, were performed. Survey results were used to select variables for inclusion in classification and regression tree (CART) and boosted regression trees (BRT) modeling of volume variation metric thresholds predictive of delivering planned dose to the prostate, proximal seminal vesicles (PSV), bladder, and rectum. Weighted functions incorporating the CART and BRT results were used to calculate a score of in idual tumor and organ at risk image feature alignment (FAS Thirty-two participants completed the prostate CBCT-IGRT survey. While responses demonstrated consensus of practice for preferential ranking of planning CT and CBCT match features in the presence of deformation and rotation, variation existed in the specified thresholds for observed volume differences requiring patient repositioning or repeat bladder and bowel preparation. The CART and BRT modeling indicated that for a given registration, a Dice similarity coefficient >0.80 and >0.60 for the prostate and PSV, respectively, and a maximum Hausdorff distance <8.0 mm for both structures were predictive of delivered dose ± 5% of planned dose. A normalized volume difference 1.0 mm anterior to the planning CT anterior rectum wall were predictive of delivered dose >5% of planned rectum dose. A normalized volume difference 13.5 mm inferior and >5.0 mm posterior to the planning CT bladder were predictive of delivered dose >5% of planned bladder dose. A FAS A FAS
RST as Narrative Structure for Node-Based Editors
Publisher: ACM
Date: 06-09-2021
Virtual reality for conservation
Publisher: ACM
Date: 22-07-2016
Visual analytics for large networks
Publisher: ACM
Date: 21-07-2021
Teleoperation of a mobile mining robot using a panoramic display: an exploration of operators sense of presence
Publisher: IEEE
Date: 08-2011
Mixed Reality and Internet of Things (MRIoT) Interface Design Guidelines for Elderly People
Publisher: IEEE
Date: 07-2019
In That Tyrant’s Pow’r: Artbots and Collisions with Social Crisis
Publisher: figshare
Date: 2021
Automating the quantification of membrane proteins under confocal microscopy
Publisher: IEEE
Date: 05-2012
EyeXplain Autism: Interactive System for Eye Tracking Data Analysis and Deep Neural Network Interpretation for Autism Spectrum Disorder Diagnosis
Publisher: ACM
Date: 08-05-2021
A study of touchless versus touch-based interactions with bacterial biofilm images
Publisher: ACM
Date: 17-11-2013
Visual analytics of big networks
Publisher: ACM
Date: 04-12-2018
Effects of a transverse, horizontal magnetic field on natural convection of a paramagnetic fluid in a cube
Publisher: Elsevier BV
Date: 2009
An experimental study of unsteady natural convection in a reservoir model cooled from the water surface
Publisher: Elsevier BV
Date: 2008
Applications of heterogeneous computing in computational and simulation science
Publisher: IEEE
Date: 12-2011
DOI: 10.1109/UCC.2011.64
High Precision Localization of Bacterium and Scientific Visualization
Publisher: IEEE
Date: 12-2013
High precision localization of bacteria
Publisher: No publisher found
Date: 2013
DOI: 10.1063/1.4825013
Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field
Publisher: Elsevier BV
Date: 09-2017
A review of computer graphics approaches to urban modeling from a machine learning perspective
Publisher: Zhejiang University Press
Date: 22-05-2021
Explainable AI and Reinforcement Learning—A Systematic Review of Current Approaches and Trends
Publisher: Frontiers Media SA
Date: 20-05-2021
Abstract: Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as a response to the need for increased transparency and trust in AI. This is particularly important as AI is used in sensitive domains with societal, ethical, and safety implications. Work in XAI has primarily focused on Machine Learning (ML) for classification, decision, or action, with detailed systematic reviews already undertaken. This review looks to explore current approaches and limitations for XAI in the area of Reinforcement Learning (RL). From 520 search results, 25 studies (including 5 snowball s led) are reviewed, highlighting visualization, query-based explanations, policy summarization, human-in-the-loop collaboration, and verification as trends in this area. Limitations in the studies are presented, particularly a lack of user studies, and the prevalence of toy-ex les and difficulties providing understandable explanations. Areas for future study are identified, including immersive visualization, and symbolic representation.
The visual analytics of big, open public transport data – a framework and pipeline for monitoring system performance in Greater Sydney
Publisher: Informa UK Limited
Date: 08-07-2021
Using virtual reality to estimate aesthetic values of coral reefs
Publisher: The Royal Society
Date: 04-2018
DOI: 10.1098/RSOS.172226
Abstract: Aesthetic value, or beauty, is important to the relationship between humans and natural environments and is, therefore, a fundamental socio-economic attribute of conservation alongside other ecosystem services. However, beauty is difficult to quantify and is not estimated well using traditional approaches to monitoring coral-reef aesthetics. To improve the estimation of ecosystem aesthetic values, we developed and implemented a novel framework used to quantify features of coral-reef aesthetics based on people's perceptions of beauty. Three observer groups with different experience to reef environments (Marine Scientist, Experienced Diver and Citizen) were virtually immersed in Australian's Great Barrier Reef (GBR) using 360° images. Perceptions of beauty and observations were used to assess the importance of eight potential attributes of reef-aesthetic value. Among these, heterogeneity, defined by structural complexity and colour ersity, was positively associated with coral-reef-aesthetic values. There were no group-level differences in the way the observer groups perceived reef aesthetics suggesting that past experiences with coral reefs do not necessarily influence the perception of beauty by the observer. The framework developed here provides a generic tool to help identify indicators of aesthetic value applicable to a wide variety of natural systems. The ability to estimate aesthetic values robustly adds an important dimension to the holistic conservation of the GBR, coral reefs worldwide and other natural ecosystems.
A study of the effects of narration on comprehension and memorability of visualisations
Publisher: Elsevier BV
Date: 06-2019
Remote Operation of Mining Equipment Using Panoramic Display Systems: Exploring the Sense of Presence
Publisher: Bentham Science Publishers Ltd.
Date: 27-08-2011
Efficient GPU Implementation of Cloud Filtering in Remotely Sensed Image Processing
Publisher: IEEE
Date: 11-2016
Numerical study of joint magnetisation and gravitational convection of air in a cubic enclosure with an inclined electric coil
Publisher: Inderscience Publishers
Date: 2005
Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
Publisher: Frontiers Media SA
Date: 28-04-2021
Abstract: The future of work and workplace is very much in flux. A vast amount has been written about artificial intelligence (AI) and its impact on work, with much of it focused on automation and its impact in terms of potential job losses. This review will address one area where AI is being added to creative and design practitioners’ toolbox to enhance their creativity, productivity, and design horizons. A designer’s primary purpose is to create, or generate, the most optimal artifact or prototype, given a set of constraints. We have seen AI encroaching into this space with the advent of generative networks and generative adversarial networks (GANs) in particular. This area has become one of the most active research fields in machine learning over the past number of years, and a number of these techniques, particularly those around plausible image generation, have garnered considerable media attention. We will look beyond automatic techniques and solutions and see how GANs are being incorporated into user pipelines for design practitioners. A systematic review of publications indexed on ScienceDirect, SpringerLink, Web of Science, Scopus, IEEExplore, and ACM DigitalLibrary was conducted from 2015 to 2020. Results are reported according to PRISMA statement. From 317 search results, 34 studies (including two snowball s led) are reviewed, highlighting key trends in this area. The studies’ limitations are presented, particularly a lack of user studies and the prevalence of toy-ex les or implementations that are unlikely to scale. Areas for future study are also identified.
Optimized GPU implementation for dynamic programming in image data processing
Publisher: IEEE
Date: 12-2016
An experimental study of unsteady natural convection in a reservoir model subject to periodic thermal forcing using combined PIV and PIT techniques
Publisher: Springer Science and Business Media LLC
Date: 18-03-2009
Enhancing natural convection in a cube using a strong magnetic field - Experimental heat transfer rate measurements and flow visualization
Publisher: Elsevier BV
Date: 10-2009
A visualization tool for citizen-science marine debris big data
Publisher: Informa UK Limited
Date: 17-02-2021
Various aspects of camera settings and image processing in the calibration of thermo-chromic liquid crystals for accurate particle image thermometry measurements
Publisher: Springer Science and Business Media LLC
Date: 30-04-2010
Distributed Collaborative Immersive Virtual Reality Framework for the Mining Industry
Publisher: Springer Berlin Heidelberg
Date: 2015
Realtime Utopias: Demoscene, Creativity Driven by Limitations
Publisher: figshare
Date: 2021
HoloSensor for smart home, health, entertainment
Publisher: ACM
Date: 12-08-2018
Information visualisation methods and techniques: State-of-the-art and future directions
Publisher: Elsevier BV
Date: 12-2019
Unsteady natural convection induced by diurnal temperature changes in a reservoir with slowly varying bottom topography
Publisher: Elsevier BV
Date: 10-2009
Three trajectories for narrative visualisation
Publisher: Elsevier BV
Date: 06-2021
Combining Mixed Reality and Internet of Things: An Interaction Design Research on Developing Assistive Technologies for Elderly People
Publisher: Springer International Publishing
Date: 2019
Experimental and numerical analyses of magnetic convection of paramagnetic fluid in a cube heated and cooled from opposing verticals walls
Publisher: Elsevier BV
Date: 10-2005
Virtual Reality to Save Endangered Animals: Many Eyes on the Wild
Publisher: IEEE
Date: 2017
Cloud-based Services for Biomedical Image Analysis
Publisher: SciTePress - Science and and Technology Publications
Date: 2013
An image‐guided radiotherapy decision support framework incorporating a Bayesian network and visualization tool
Publisher: Wiley
Date: 08-06-2018
DOI: 10.1002/MP.12979
Abstract: To describe a Bayesian network (BN) and complementary visualization tool that aim to support decision-making during online cone-beam computed tomography (CBCT)-based image-guided radiotherapy (IGRT) for prostate cancer patients. The BN was created to represent relationships between observed prostate, proximal seminal vesicle (PSV), bladder and rectum volume variations, an image feature alignment score (FAS Modeling of the TV targeting errors resulted in a very low probability of corrected distances between the CBCT and planning CT prostate or PSV volumes being within their thresholds. Strength of influence evaluation with and without the BN TV targeting error nodes indicated that rectum- and bladder-related network variables had the highest relative importance. When the TV targeting error nodes were excluded from the BN, TPC was sensitive to observed PSV and rectum variations while the decision to treat was sensitive to observed prostate and PSV variations. When root nodes were set so the PSV and rectum variations exceeded thresholds, the probability of low TPC increased to 40%. Prostate and PSV variations exceeding thresholds increased the likelihood of repositioning or repeating patient preparation to 43%. Scenario testing using the test data from 13 patients, demonstrated two cases where the BN provided increased high TPC probabilities, despite some of the prostate and PSV volume variation metrics not being within tolerance. The IGRT This study has demonstrated that both the BN and IGRT
Applications of networked virtual reality for tele-operation and tele-assistance systems in the mining industry
Publisher: ACM
Date: 11-12-2011
Automatic site selection of cultural venues
Publisher: ACM
Date: 04-12-2018
Affective and Effective Visualisation: Communicating Science to Non-expert Users
Publisher: IEEE
Date: 03-2014
Open biomedical image analysis toolbox in the clouds
Publisher: The Royal Australian and New Zealand College of Radiologists
Date: 2014
Convection of air in a cubic enclosure with an electric coil inclined in general orientations
Publisher: IOP Publishing
Date: 02-2005
A numerical study of unsteady natural convection induced by iso-flux surface cooling in a reservoir model
Publisher: Elsevier BV
Date: 2009
High precision localization of bacteria
Publisher: AIP
Date: 2013
DOI: 10.1063/1.4825013
Visualisation Design as Language Transformations - From Conceptual Models to Graphics Grammars
Publisher: IEEE
Date: 07-2019
Scaling for unsteady thermo-magnetic convection boundary layer of paramagnetic fluids of Pr > 1 in micro-gravity conditions
Publisher: Elsevier BV
Date: 12-2009
GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy
Publisher: IOP Publishing
Date: 24-03-2014
A review and reframing of participatory urban dashboards
Publisher: Elsevier BV
Date: 03-2019
Human-Computer Interaction Experiments - Immersive Virtual Reality Applications for the Mining Industry
Publisher: IEEE
Date: 2010
Magnetic and gravitational convection of air with a coil inclined around the X axis
Publisher: Informa UK Limited
Date: 07-2004
Evaluating the efficacy of using a novel gaze-based attentive user interface to extend ADHD children’s attention span
Publisher: Elsevier BV
Date: 2023
Signal and Image Analysis for Biomedical and Life Sciences
Publisher: Springer International Publishing
Date: 2014
Related Organisations
Related Funding Activities
Australian Acoustic Observatory: A Network To Monitor Biodiversity
Start Date: 2017
End Date: 2017
Funder: Australian Research Council
View Funded ActivityAustralian Metabolic Phenotyping Centre (AMPC)
Start Date: Start date not available
End Date: 2019
Funder: Australian Research Council
View Funded ActivityTransforming Rehearsal Design Using An Interactive Spatial Aesthetic
Start Date: 2021
End Date: 2023
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE170100021
Start Date: 05-2017
End Date: 12-2018
Amount: $2,168,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE170100033
Start Date: 05-2017
End Date: 12-2024
Amount: $900,000.00
Funder: Australian Research Council
View Funded Activity