SimVis is an interactive visual analysis platform for large, multi-variate, and time-dependent 3D simulation data on unstructured grids. SimVis stands for Simulation Visualization, which also describes its main application field.
ComVis is a coordinated multiple views research platform. It supports advanced interaction, multiple composite brushes, and a simultaneous analysis of multiple data tables. Besides standard scalar attributes, it also supports complex data, such as curves, surfaces, sets, trajectories, and events along trajectories, as atomic units in records..
The aim of the application project IVC Multi is to research novel intelligent visual computing methods supporting decision-making in automotive industry, medicine, and life sciences based on ensembles of heterogeneous, multi-scale and/or multi-temporal data.
The aim of the project IVC Stream is to research novel visual computing solutions for simulation and measurement data.
This project aims at accelerating and automating image-based decision making with an application focus on medicine, recycling and quality assurance processes in manufacturing.
The strategic project of the area is the organizational and scientific hub for the realization of the area-wide intelligent visual computing approach for analytics and modelling based on ensembles of dense grid-based data, derived data, and digital embedding.
Businesses go smart with Data Science: with the help of visual data analysis, machine learning, deep learning, data mining and visual data processing we help companies to fully exploit the potential of their data.
To take full advantage of data from automotive simulations and measurements, we combine interactive and automatic Visual Computing methods to find intuitive, efficient and effective solutions that are applicable in the daily routine of engineers.
The strategic project forms the organizational and scientific hub for the realization of an area wide integrative visual computing approach. It covers joint strategic research and development on fundamental challenges in all application projects.
Complex simulation data is practically omnipresent today.
Research and development of novel interactive visualization methods for visualization and understanding of complex systems.
Next generation workflows for interactive knowledge generation from images and simulations.