Research Areas

Mobility Laboratory

The Mobility Laboratory carries out research in pervasive, mobile, ubiquitous and wireless computing and networking and various aspects of areas such as data management, service oriented computing and software engineering.

In the area Pervasive Computing: a diverse range of projects investigates the technical and social challenges of creating distributed computational environments and systems that will recede into the background of our everyday lives and empower us to be more effective in all of the activities that we undertake. Pervasive computing goes beyond the realm of personal computers. Almost any device, from clothing to tools, to appliances, to cars, to homes, to the human body, to your coffee mug, can be embedded with chips to connect it to an infinite network of other devices. The goal of pervasive computing, which combines current network technologies with wireless connectivity, Internet capability, artificial intelligence and other enabling paradigms, is to create an environment where the connectivity of devices is embedded in ways that are unobtrusive and always available.

In the areas of Data Management: research spans mobile databases and multimedia information retrieval. Research is Service Oriented Computing focuses on quality metrics such as reputation, mobile and context-aware service delivery and software engineering of service oriented architectures.

Research areas include:

• Mobile and Pervasive Computing Systems
  • Context-Aware Intelligent Environments
  • Ubiquitous/Mobile Data Mining
  • Wireless Sensor Networks
  • Wireless Solutions
  • Mobile and Wireless Security
  • Ubiquitous Computing
  • Wireless Solutions
  • Mobile Applications
  • Mobile Software Agents

• Data Management
  • Distributed Data Management
  • Mobile Databases
  • Multimedia Information Retrieval

• Multi-agent and Mobile Agents Systems
• Web Services & Service-Oriented Architectures
• Software Engineering
• Personalisation & Recomender Systems

Message Laboratory

The Monash eScience and Grid Engineering (MESSAGE) Laboratory performs research and development on software tools and techniques for programming e-Science applications. Our research projects address life cycle issues as software evolves through the phases of development, deployment, test and execution. Importantly, we assume that this life cycle is performed continuously, thus, software evolution does not stop after execution, but enters development again. We particularly focus on legacy systems in which existing software is brought into Grid computing environments

Research areas include:

• GRID tools
• e-Science
• parallel computation
• software engineering
• high-performance
• computational infrastructure
• middleware,
• tools & platforms
• parallel and relative debugging
• cluster computing
• distributed workflows