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.
Area Coordinator of Complex Systems | Head of Interactive Visualization Group, Interactive Visualization
matkovic(at)vrvis.at +43 1 908 98 92 425Start: 01.2017
End Date: 12.2020
AVL, Heineman Fluid Dynamics Research, Agfa
FFG - COMET Programme
Understanding how the brain works is one of the biggest challenges addressed by neuroscientists today. Modern neuroscience research is extremely data-intensive and requires special software infrastructures to enable and accelerate the discovery of the complex interplay of genes, structure and function.
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.
The combination of "liquid biopsies", machine learning and data visualization aims to enable earlier and more accurate prediction of a relapse in children with cancer.
