Research

Visual Analysis Activities

This research focuses on effective visual representations of multiple types of data, and visual analysis environments that allow exploration across data types. This work includes basic research into the perceptual issues behind the visual interpretation of data, digital image libraries, development of robust visualization toolkits, and application of visualization to a variety of different domains.

News and Information

Links to the people behind this work, publications, and patents.

Perceptual Experiments in Color, Shape, and Texture

We are very interested in how perception affects the task of visualization. For example, many popular colormaps are perceptually non-uniform, leading to the possibility that important details may be masked depending on their location in the colormap. We have conducted experiments to better understand how perception affects visual interpretation of data.

Find out more.

Visualization Tools and Environments

We develop visualization tools and libraries which we then apply to a variety of visualization problems. The toolkit Opal is the visualization environment with which we are now building our visualization applicatons.

Find out more.

Visualization of Complex Biological Systems

Biological and medical data offers a wealth of opportunity for the application of visualization tools. We have applied visualization to protein studies, heart simulation data, medical records data, tumor reconstruction, and a variety of other areas.

Find out more.

Digital Image Libraries

We are interested in how one searches and navigates through libraries of images, and applying sematic categories to make searching for images more intuitive.

Find out more.

Visualization for Business and Finance

We have applied visualization and analysis to a variety of problems in business and finance.

Find out more.