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PROJECTS MeG

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The PRESS team build upon an extensive track record in delivery of highly successful research-oriented IT projects across a variety of disciplines. Wherever possible we build directly upon the results of these projects from a software perspective, but more importantly from a software engineering perspective to support the development and rollout of software solutions. We summarise the current portfolio of projects here and some of the previously completed projects involving the PRESS staff to give an idea of the depth and breadth of research-oriented IT that we build upon.

COTOR
COTOR

Cognition Oriented Treatments Online Repository (COTOR) is a project that runs from July 2017 – March 2018. The CoTOR is a research and knowledge translation/dissemination tool focused on evidence for the efficacy of cognitive interventions for older adults. At the core of the CoTOR will be a comprehensive database of methodological features and summary results from all relevant trials in the field. The CoTOR strives to be the most detailed source of information on design and methodology of relevant trials.

RCM
RCM

University of Melbourne Research Capability Mapping (RCM) project is an internally funded project that runs from September to December 2017. The RCM project has been established to develop a tool that will allow the University of Melbourne to better understand the capability it has within its researchers, and research partnerships. The tool will be used in multiple scenarios – however, the initial focus of the project will be to develop a prototype that acts in support of the Business Development (commercialising research) group. The additional scenarios will include: Institutional (whole of UoM); Divisional (faculties/institutes); and, Individual (the researchers/academics). The work will be initially be driven by University academic related research publications but will eventually include grants and other activities.

HATS Phase IV
HATS Phase IV

Helicopter Aircrew Training System (HATS) Infrastructure Development Phase IV is a commercial project funded by the Defence Science and Technology Organisation (DSTO) that runs from September 2017 to May 2018. The focus of this work is in extensions and refinements of a scheduling system for training and tracking of helicopter pilots required by the defence forces of Australia. This will provide an Australia-wide system that can support current and future training needs and demands of helicopter pilots in the army, navy and airforce. This work also includes support for mobile applications.

Drone analytics platform Phase II
Drone analytics platform Phase II

Drone analytics platform Phase II has been funded by the University of Melbourne to support data analysis of crop data captured through unmanned aerial vehicles (drones). This platform will be used to process aerial data on crops using large-scale Cloud infrastructure. This work will be used for example to identify crop issues and ways in which improved agricultural methods can be supported .

CSMP Phase II
CSMP Phase II

Complex System’s Modeling Platform (CSMP++) Phase II: CSMP Phase II extends the original work undertaken in supporting a hybrid finite element – finite volume tool for solving multi-physics problems in geometrically complex spaces. This work includes establishment of a new build and deployment environment including support for Cloud and GPU exploitation with advanced user interfaces.

ULPA
ULPA

University Languages Portal Australia (ULPA). Is a project supporting the discovery of language-related educational courses offered across Australia.

Metabolomics Australia Sample Tracking Repository
Metabolomics Australia Sample Tracking Repository

Metabolomics Australia Sample Tracking Repository is a project funded by the Bio21 Institute through their involvement in Bio-platforms Australia. The grant runs from July 2017 – December 2017. This platform is for use in the tracking of physical bio-specimens and the associated metabolomics data analysis for researchers across Australia. PRESS are responsible for augmenting the existing platform for improved sample management including export to internationally standardised data formats as well as mobile applications for tracking of samples and delivery of results.

Enhancing a Platform for High Density Lidar Data Analytics
Enhancing a Platform for High Density Lidar Data Analytics

Enhancing a Platform for High Density Lidar Data Analytics is a project funded through the Australian Government Department of Industry, Innovation and Science that focuses on the enhancement of a complete Cloud-based, end-end data processing pipeline for identification of areas of encroachment of vegetation on power lines of energy providers using machine learning/classification algorithms on LIDAR data. This work focused specifically on data from South Australia.

ElectraNet LIDAR Data Processing
ElectraNet LIDAR Data Processing

ElectraNet LIDAR Data Processing is a commercial project funded by Intelfuse that focuses on the application of a complete Cloud-based, end-end data processing pipeline for identification of areas of encroachment of vegetation on power lines of energy providers using machine learning/classification algorithms on LIDAR data. This work focused specifically on data from South Australia.

SWARM
SWARM

Smartly-aggregated Wiki-style Argument Marshalling (SWARM) has been funded ($18m) by the US Intelligence Advanced Research Projects Activity (IARPA) to develop a platform to support improved crowd-based argumentation. This work includes natural language processing, machine learning and advanced data analytics to support the collection and analysis of crowd-sourced data. The goals are to support better decisions through extraction of arguments from the crowd with specific focus on aiding geopolitical analysis and decision-making.

Drone analytics platform
Drone analytics platform

Drone analytics platform has been funded by the University of Melbourne to support data analysis of crop data captured through unmanned aerial vehicles (drones). This platform will be used to process aerial data on crops using large-scale Cloud infrastructure. This work will be used for example to identify crop issues and ways in which improved agricultural methods can be supported .

VectorNZ LIDAR Data Processing
VectorNZ LIDAR Data Processing

VectorNZ LIDAR Data Processing is a commercial project funded by Intelfuse that focuses on the application of a complete Cloud-based, end-end data processing pipeline for identification of areas of encroachment of vegetation on power lines of energy providers using machine learning/classification algorithms on LIDAR data. This work focused specifically on data from Auckland, New Zealand.

Victorian Flu Surveillance Network
Victorian Flu Surveillance Network

Victorian Flu Surveillance Network has been funded by the Doherty Institute at the University of Melbourne to develop a platform support surveillance of flu outbreaks across Victoria. This system is to be used by GPs to record patients with flu and/or flu-like systems.

Supporting the Centre for Systems Genomics
Supporting the Centre for Systems Genomics

Supporting the Centre for Systems Genomics has been funded to support the research-oriented IT needs of the Centre for Systems Genomics (SysGen) at the University of Melbourne. This includes web-enabling existing bioinformatics applications and databases crossing the whole -omics space, and setting up systems and processes for continuous software delivery to diverse biomedical research communities.

Cognitive Platform for Population Health Research Communities
Cognitive Platform for Population Health Research Communities

Cognitive Platform for Population Health Research Communities has been funded to develop a range of cognitive tests for assessing the mental abilities of individuals and especially those with Alzheimers. This system includes capture of basic demographic information and includes tests such as learning pairings of English words with Chinese characters and learning pairings of bird pictures with bird songs.

Enhancing Support for the NeCTAR Research Cloud Biomedical Communities
Enhancing Support for the NeCTAR Research Cloud Biomedical Communities

Enhancing Support for the NeCTAR Research Cloud Biomedical Communities has been funded to extend a range of mobile applications to support the NeCTAR-funded endocrine genomics virtual laboratory (endoVL) along with development and support for microbiome database solutions.

Mobile applications for Patients with Neuroendocrine Tumours
Mobile applications for Patients with Neuroendocrine Tumours

Mobile applications for Patients with Neuroendocrine Tumours is a project to develop patient-focused mobile applications (both iOS and Android) for patients with neuroendocrine tumours to record a variety of information on their quality of life. This system includes support for secure storage and visualisation of data and its combination with other clinical and treatment data sets.

NAPACApp
NAPACApp

Mobile applications for Patients with Non-Aldesterone Producing Cortical Adrenal Adenomas (NAPACApp) is a project to develop patient-focused mobile applications (both iOS and Android) for patients with adrenal tumours. The apps allow to record a variety of information on patient quality of life. This system includes support for secure storage and visualisation of data and its combination with other clinical and treatment data sets.

HATS
HATS

Helicopter Aircrew Training System (HATS) Infrastructure Development is a commercial project funded by the Defence Science and Technology Organisation (DSTO) that runs from September 2016 to May 2017. The focus of this work is in extensions and refinements of a scheduling system for training and tracking of helicopter pilots required by the defence forces of Australia. This will provide an Australia-wide system that can support current and future training needs and demands of helicopter pilots in the army, navy and airforce. This work also includes support for mobile applications.

ARCHER Victorian Historical Population Register
ARCHER Victorian Historical Population Register

ARCHER Victorian Historical Population Register is focused on developing a web-based database to support access to and transcription of historical data sets (scanned and typically hand-written images) from Victoria including birth certificates, death certificates and marriage certificates. This includes citizen science transcription capabilities and advanced visualisation capabilities of the results.