Research

Scientific visualization as a research area has impacted an enormous number of engineering disciplines. In particular, it helps users get better insight into their data. In many areas, it is almost impossible to reasonably analyze data without an appropriate visualization due to the overwhelming amount of information present in the data. Data sets resulting from simulations or experiments in various application fields, for example computational fluid dynamics (CFD) or medical imaging, have to be analyzed and represented in a way that the user is enabled to easily investigate and explore the data. The Advanced Visual Data Analysis group is devoted to solve some of the visualization and analysis challenges arising from these applications. This includes, for example, large-scale visualization and analysis using feature detection and image processing techniques. Examples of our work can be found in the projects section.

As the area of scientific visualization expands and the lines get blurred, the AViDA group extends their research areas into multiple additional areas beyond the ones listed above. These include virtual environments which is supported by the vast array of immersive display systems available in the Appenzeller Visualization Laboratory. We have available a variety of different frameworks for creating such virtual environments which can, for example, be used for training or experimentation. Similarly, these frameworks support the creation of highly interactive data visualization content.

Additional research areas include topics such as image processing, including but not limited to medical areas, information visualization, parallel processing and high-performance computing, and general purpose GPU programming (GPGPU).