Modern simulation techniques generate large amounts of complex data. The simulation models have tens, hundreds, or even thousands of parameters. Exploring and tuning such models is a very challenging task. It can be successfully solved only by a combination of automatic and interactive methods.
The research of the Interactive Visualization group targets a synergy of Interactive Visualization, and Computational Analysis to simplify and speed up the entire workflow of exploration and optimization of complex engineering systems.
The research findings provide novel methods for the preparation of simulations, controlling multiple simulation runs, and the interactive visual analysis of complex 3D and nD simulation results. The focus lies on complex data which usually includes many curves, surfaces, or other complex structures, per simulation run.
The application domains include automotive engineering, geology, and medicine. Learn how the research group's work is making an important contribution to reducing noise pollution, for example, with the help of interactive visual analysis. To support the initial setup of simulation domains, visual techniques for interactive mesh editing and domain decomposition are also investigated. Furthermore, the research of the Interactive Visualization group enables the exploration of high-dimensional parameter spaces by allowing the user to effectively create and steer simulation ensembles thereof. The steering solutions developed in the process, Hybrid steering and Hierarchical Steering, make it possible to simultaneously explore and analyze several simulation models of varying complexity.
Area Coordinator of Complex Systems | Head of Interactive Visualization Group, Interactive Visualization
matkovic(at)vrvis.at +43 1 908 98 92 425Behind our smart solutions and software are smart and driven people. Do you want to meet the team?
Interactive Visual Analysis
Analysis and Steering of Simulation Ensembles
Parameter Space Exploration
Visualization Systems
Integrating Simulation and Visualization
Interactive Meshing for CFD Simulation
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.