In recent years group members have been awarded millions of dollars in ARC Discovery and Linkage Grants and significant investment through industry sponsored research.
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Visualisation of large, complex networks through small, beautiful diagrams
Networks are everywhere—Google's Knowledge Graph, Facebook's social networks and the Semantic Web. We will develop a new approach to visualise and understand these networks.
Funding: ARC Discovery Project — DP140100077
Flexible user-guided network layout for biomedical applications
This project will develop techniques for automatic layout of biological network diagrams, allowing users to guide the layout while satisfying any required placement constraints and drawing conventions. As part of the project, these methods will be integrated into several real-world systems biology applications for network browsing and authoring.
Funding: ARC Discovery Project — DP110101390
CIDER: A component-based toolkit for creating smart diagram environments
Smart Diagram Environments (SDEs) are software applications that use structured diagrams to provide a natural visual interface that behaves as if the computer "understands" the diagram. Unfortunately, despite their potential usefulness, SDEs are not easy to build. We present CIDER a Java toolkit for building SDEs which greatly simplifies this task. CIDER is a generic component-based system which is designed to be easily embedded in Java applications. It provides automatic interpretation of diagrams as they are constructed and manipulated, structure preserving manipulation, and a powerful transformation system for specifying diagram manipulations and user interaction. CIDER's main innovation is its component-based approach to SDE development which provides substantially increased architectural flexibility to the application programmer.