The Raincloud project's goal is to optimize and extend the simulation software viscloud to tackle the increasing challenges in water planning and disaster management in the face of climate change.
The primary goal of project INGRESS is to accelerate and improve the process of data scientists working with Industry 4.0 and Internet of Things (IoT) data, by enabling a closer integration of visual analysis into the existing workflows.
The RAILING project deals with the research and development of interactive, scalable and trust-building visualization and analysis tools for the exploration of time-dependent and complex data.
The main goal of this project is to enable a reliable decision support for large-scale infrastructure projects by providing solutions for a collaborative visual analysis of digital twins.
The main objective of the strategic project ARCS is the design of software architectures that enable interactive visualization systems to ingest large volumes and velocities of geospatial and associated non-geometric data.
The goal of the project MARAMT is to develop a software framework to significantly reduce the effort required to work with existing and future complex cyber-physical systems.
Within the project Larvalbrain 2.0, a dynamic multi-scale multi-level atlas and data collection of structural, molecular, physiological, and behavioral results of Drosophila melanogaster larvae will be established.
XREye synthesizes innovative VR, eye-tracking, and visual simulation technologies for simulating visual impairments in virtual and augmented reality.
VRVis a founding member of the Austrian BioImaging/CMI, which is a professional consortium of multiple Austrian science institutions and the official Austrian Euro-BioImaging initiative.
Visual Analysis of Asteroid Deflection.
For many years we have been dealing with all aspects of hydrodynamic modelling. With our software viscloud we can model different scenarios and also offer this as a service.
We create a digital twin of a community and simulate weather events to identify high-risk buildings and infrastructure vulnerabilities.