Visualization and Workflows for Complex Data
Complex simulation data is practically omnipresent today.
Besides classical fields such as automotive engineering, for example, which deploys simulation since several decades, medical researchers use flow simulation more and more in order to provide personalized medical care. Simulation ensembles and cohort studies both deal with multiple items, and novel analysis methods are needed here.
The main goal of this project is to research and develop novel analysis workflows and methods for complex, heterogeneous data originating from simulation, measurements, and cohort studies. We focus on visual computing methods in a combination with automatic data analysis. In this way we follow our area's main research agenda of integrative visual computing.
We focus our research on combining automatic and interactive methods for ensemble data, advanced flow visualization techniques, and improved usability. The project research is anchored in two domains, automotive engineering and the bio-medical domain. A close collaboration with domain experts from our partner companies from both domains ensures a high relevance and a wide applicability of the research results.