Completed Projects
Click on any of the completed projects listed below for more information.
Adaptive Middleware Platforms
Models and Extensible Architecture for Adaptive Middleware Platforms (AMP) project aims to develop novel middleware technology that augments existing standards-based application server technologies with adaptive capability.
Advanced Nonlinear Gradient Methods
The Advanced Nonlinear Gradient Methods Project will provide automated ways to index, filter, correlate and interpret sensory signals to turn data into knowledge.
Ambient Networks
The project focuses on technology which will allow people to communicate using the most cost-effective and appropriate combination of wireless networks and services. Its goal is to provide seamless communication and entertainment through wireless devices such as personal digital assistants (PDAs), laptops and mobile phones.
Architectures For Intelligent Agents
The ARIA project is a fundamental research project designing intelligent systems of the future.
Automated Anatomical Structure Extraction for Diagnosis and Population Norms
The Automated Anatomical Structure Extraction for Diagnosis and Population Norms project will apply mathematical modelling to create 3D images of the hippocampus region of the brain to help diagnose conditions such as Alzheimer’s, epilepsy and schizophrenia.
Braccetto
Braccetto is a collaborative project in human-computer interaction. It aims to develop sophisticated information sharing technology that can help geographically distributed teams collaborate more effectively.
Broadband to the User
Broadband to the user (B2U) project focused on developing technologies related to PONs that are truly broadband and affordable for people wherever they live and whatever their budget. We call this dream system “BudgetPON”.
Context Aware Mobility Project (CAMP)
The CAMP research team in collaboration with Ericsson Research has developed a context-aware system that determines the most appropriate connection option at any given time. It allows automatic and seamless switching between different wireless access technologies and services.
Component Architectures for Microkernel-based Emebedded Systems
The Component Architectures for Microkernel-based Embedded Systems (CAmkES) project aims to create a quick catalogue solution for embedded systems. Creating new component technology will increase the reliability of embedded systems and decrease the cost.
Computed Tomography Colonography
The Computer Colonic Polyps Detection Based on Computed Tomography Colonography project aims to develop a fast, non-invasive and highly accurate method of detecting polyps in the colon that may lead to cancer.
Data Mining in Spatio-Temporal Data Sets
Data Mining in Spatio-Temporal Data Sets (DMiST) project combines the areas of computational geometry, data mining, data bases and algorithm design to address spatio-temporal pattern discovery.
Document Analysis and Understanding
Develop statistical machine learning tools and algorithms for use in the different stages of the intelligence life-cycle. This implicitly includes data and text mining.
Driver Drowsiness Detection
The Road Safety: Driver Drowsiness Detection project aims to develop a set of measurable indicators or metrics for driver drowsiness that could help in the design of alerting devices.
Dynamic Planning and Optimisation
The DPOL Project is conducting fundamental and applied research into operations/project level planning, with an emphasis on integrating methods from machine learning and optimisation. This four way collaboration between DSTO, University of South Australia, and University of Adelaide has been particularly successful at dealing with uncertainty in planning.
FM for Performance Evaluation
The Formal Methods for Performance Evaluation of Wireless Network Applications (PEWNA) project aims to make advanced formal verification techniques available to designers of wireless sensor network applications and protocols. Applications and case studies will drive research on notations, methods and tools useful for the wireless domain.
Fundamental Limits of Wireless
Wireless communication is limited by physics. Small devices must exploit environmental adversity to give them an advantage. The Fundamental Limits of Wireless (FLoW) project explores the limits of spatial diversity in wireless communication.
Hierarchical Abstract Learner
The Hierarchical Abstract Learner project is building an automatic reasoning system based on higher order logic.
L4.verified
The L4.verified project is developing a mathematical proof that the seL4 microkernel does exactly what it is intended to do. This project asks the following basic research question: is it possible, feasible and economically viable to create software that is proven to be free of errors?
Last Metre Problem
The Last Metre Problem (LaMP) Project, is mainly concerned with the short range information transfer by means of wireless communication. The information transfer for such applications is limited by the available resources, such as bandwidth, power and space.
Layered Learning
Machines operating in unstructured, real-world environments is the vision of many artifical intelligence researchers. Although humans effectively filter out important information from vast sensory data and learn from their experience, researchers as yet cannot match this level of performance artificially.
Learning and Representation
The Learning and Representation (LEAR) program aims to develop software which will help the military make superior battle decisions and also be applicable in areas such as movies and video games.
LIXI Business Processes
This project focused on standardising and streamlining the business processes of the Australian home loan industry, cutting costs and providing quicker responses to customers.
Macro-programming for Wireless Sensor Networks
This project targets to overcome the difficulties associated with WSN programming by introducing the right abstraction models and tools to program WSN at the global, network level, not at the currently-practiced node level. This kind of programming dubbed “macro-programming” by the WSN research community will help describe the global desired behaviour of the system along with high level restrictions on metrics such as energy consumption, delay, accuracy, and robustness, and automatically produce node-level code to be executed at individual sensor nodes.
Managing and Monitoring the Internet
The Managing and Monitoring the Internet (MAMI) project takes an innovative approach to development of technologies that provide cost-effective performance monitoring of core networks at the physical and the protocol layers.
Mapping Genetic Components in Crops
Develop expertise and tools in genomics. Large volume of samples, data sets at least one order of magnitude larger than what is currently practical in human genomics
Model-Based Supervision of Composite Systems (SuperCom)
The project Model-Based Supervision of Composite Systems (SuperCom) looks at complex component-based systems ranging from power distribution networks to web services and assembly lines. It aims at building tools that confer those systems the ability to self-diagnose problems and keep operating as efficiently as possible until faults are repaired.
Office in a Box
The Office in a Box Project is about the efficient transport of combined IP telephony (VoIP) and data applications over wireless (long delay or lossy) links.
Ontology Toolkit
The purpose of this project is to build a toolkit which assists in the creation, use and maintenance of ontologies.
Poteroo
This project aims to provide L4 with an analysis model, which allows on the spot analysis of the temporal behaviour of the kernel on a given platform.
Query and Decision Support
The Query and Decision under Uncertainty for a Secure and Sustainable Environment (QUSE) project platforms reasearch and development of generic, robust, expressive and efficient models, algorithims/prototypes to interpret and query (incomplete) data under uncertainty applied to two domains: digital forensics and environmental management.
Requirements Engineering for Strategic Alignment (RESA)
RESA is a modelling methodology that translates complex organisational strategy into enterprise IT needs.
Smart Applications for Emergencies (SAFE)
The Smart Applications for Emergencies (SAFE) strategic project addresses key elements of the process of predicting, responding to and recovering from a range of natural and man-made disasters
SmartCars
The purpose of the SmartCars project is to use computer technology, particularly image analysis, to make for a safer driving experience.
Smart Transport and Roads
The Smart Transport and Roads Project is using advanced information and communications technologies to help solve the world's urban traffic congestion problems.
With better information and modelling capabilities, traffic systems,traffic managers and travellers themselves will be better able to predict and respond to traffic build ups, bottlenecks, accidents and breakdowns.
Situation Awareness by Inference and Logic
Development of a system that uses formal logic to answer questions about the objects and events of a situation, and issue alerts when it recognises factors of interest emerging in the situation, providing decision makers with better situation awareness.
Universal Storage Scheme (mContext)
The Universal Storage Scheme project (also known as mContext) will allow XML information to be stored in a space-efficient representation which also maintains low access and update costs for all of the desired operations.
Validating Network Semantics
This project developed a formal specification for the important TCP/IP protocols that underlie the modern internet.
Video Analysis for Surveillance
The Video Analysis and Content Management for Surveillance (VACMS) project aims to develop intelligent video surveillance systems that can recognise specific events by understanding their context and make a note of them or alert the operator.
Visualisation of Complex Networks
The Visualisation and Analysis of Large and Complex Networks (VALACON) project aims to design, implement and evaluate effective and efficiant visualization, analysis, interaction methods for large and complex networks, such as terrorist telephone call networks and biological networks.
Water Information Networks
The Water Information Networks (WIN) project will establish capability in the area of water management through the use of sophisticated wireless sensor network technology and high performance distributed control software.
xQos Systems
The xQoS project has the dual goal of developing improved Quality of Service (QoS) mechanisms for the Internet and a virtual lab called IREEL for experimenting with computer networks over a web interface.