2017.01.12 Dayton is ranked 17 among the best cities for STEM jobs according to WalletHub.
2017.01.09 We added writing resources to the resources page.
2016.10.27 The director of the AViDA group, Thomas Wischgoll, is co-chairing the Visualization Contest for next year's IEEE VIS conference.
2016.5.18 The director of the AViDA group, Thomas Wischgoll, is chairing the Visualization and Data Analysis conference next year together with David Kao and Song Zhang. The deadline for submissions is July 25 and papers can be submitted here.
2015.11.17 The AViDA lab joined the Data Science and Security Cluser (DSSC)
2015.09.23 Wright State will host the first presidential debate next year
2015.04.16 The department took delivery of a 21.16 TFlop/s high performance computer with 2048 cores, which will tie directly into the capabilities of the Appenzeller Visualization laboratory. It was ranked 310 in the top 500 computer list.
2015.03.16 Dayton is also ranked among the best metro areas for STEM professionals (ranked 16th) according to WalletHub.
2015.02.26 Dayton is among the top 10 cities in America for engineers according to Forbes. See here for more information.
2015.02.25 VTK now supports rendering into external OpenGL contexts with their upcoming release version 6.2. Further details can be found in this blog post. This then no longer requires the multipass rendering hack for integrating VTK with Vrui.
2014.04.12 The Appenzeller Visualization Laboratory keeps getting upgraded; this time touch capabilities were added to make some of the displays even more interactive.
Scientific visualization as a research area has impacted an enormous number of engineering disciplines. In particular, it helps users get better insight into their data. In many areas, it is almost impossible to reasonably analyze data without an appropriate visualization due to the overwhelming amount of information present in the data. Data sets resulting from simulations or experiments in various application fields, for example computational fluid dynamics (CFD) or medical imaging, have to be analyzed and represented in a way that the user is enabled to easily investigate and explore the data. The Advanced Visual Data Analysis group is devoted to solve some of the visualization and analysis challenges arising from these applications. This includes, for example, large-scale visualization and analysis using feature detection and image processing techniques. Examples of our work can be found in the projects section.
As the area of scientific visualization expands and the lines get blurred, the AViDA group extends their research areas into multiple additional areas beyond the ones listed above. These include virtual environments which is supported by the vast array of immersive display systems available in the Appenzeller Visualization Laboratory. We have available a variety of different frameworks for creating such virtual environments which can, for example, be used for training or experimentation. Similarly, these frameworks support the creation of highly interactive data visualization content.
Additional research areas include topics such as image processing, including but not limited to medical areas, information visualization, parallel processing and high-performance computing, and general purpose GPU programming (GPGPU).