Molecular Visualization meets Immersive Analytics
Event date:  December 11, 2019 1:30 PM  to 2:30 PM

Abstract:

Molecular visualization is one of the oldest branches of scientific visualization, ranging back more than five decades. However, due to the constant increase in data set sizes and complexity, molecular visualization is still a very active and vibrant field of research. The field has also adopted immersive technologies like stereoscopic displays and virtual or augmented reality early on. The recent resurgence of interest in virtual and augmented reality – sparked by the availability of affordable and technologically advanced head-mounted displays – has also gained a lot of attention from visualization researchers, who investigate how to employ these technologies for immersive data analysis. This has also led to new developments in the field of immersive molecular visualization.

In my talk, I will give an overview of the field of molecular visualization and show how we have applied immersive technologies to facilitate the visual analysis of biomolecular simulation data, ranging from classical stereoscopic high-resolution tiled displays to modern head-mounted displays that enable the use of virtual and augmented reality. Based on these recent and ongoing efforts, I will discuss future challenges and opportunities for immersive analytics of molecular data.

 

Biography: 

Michael Krone received a diploma in Computer Science in 2008 and a Ph.D. (Dr. rer. nat.) in 2015 from the University of Stuttgart. Since 2018, he is a junior professor at the Eberhard Karls University of Tübingen, where he leads the Big Data Visual Analytics in Life Sciences research group. In 2016 and 2017, he had appointments as guest lecturer at the Ludwig Maximilian University of Munich. His main research interests are in scientific visualization and visual analytics for the life sciences, especially the interactive visual analysis of large, dynamic molecular structures, GPU-accelerated computing, and using immersive technologies for visual analysis.

URL: https://bit.ly/34SXd1K

Location:

University of Konstanz, PZ 1001

The talk will not be transmitted, but recorded. We will provide a download link of the video on request.