Research Projects
Large Scale Data Visualization. Members: Mao Lin Huang and Quang Vinh Nguyen

The general aim of this research is to investigate interactive visualization solutions to the problem producing and displaying a complete global view of large information spaces in a limited screen resolution, and the problem of navigating through such large global views to find particular data items. Such an interactive visual representation of information will enable users not only to see the overall structure of a large information space with thousands (or tens of thousands) of data items on an ordinary computer screen, but also to easily and quickly navigate through the visualization to find particular information they want. The objectives of this research are:
- To develop the theory of space-efficient graph visualization to provide the foundation of layout algorithms to be developed in this research.
- To investigate graph layout algorithms which enable the display of many items on a screen by maximising the utilization of two-dimensional space.
- To optimized the graph layout algorithms to significantly reduce the computational complexity of calculating the geometrical layout of large graphs with thousands (or tens of thousands) of nodes
- To investigate an optimized navigation mechanism which will form the foundation of the navigation methods and algorithms to be developed.
- To investigate alternative focus+context navigation methods that can produce a sequence of large and high quality navigational view for data manipulation
- To investigate efficient algorithms that can significantly reduce the computational cost in view transformations during the navigation of large scale visualization.
Current Research Projects
Past Research Projects
![]() | Fair Intelligent Quality of Service Control and Path Discovery Mechanisms for Internet Scalable Architectures. (D. Hoang, U. Szewcow, M. Li) |
![]() | Fused Data Visualization. (Mao Lin Huang and Wu Quan) |









