Dative Subjects: Historical Change Visualized

Dative Subjects: Historical Change Visualized

Linguistic data is inherently multidimensional, with complex interactions between
different linguistic features and structures being the norm rather than the
exception. Historical linguistic change typically is the result of such complex interactions.
The core remit of historical linguistic work is to identify a language change
and to understand how different relevant factors have interacted with each other
across time to effectuate the change.

Research Stay at the University of Oregon in Eugene

Research Stay at the University of Oregon in Eugene

Last summer, I went for a three month research stay at the University of Oregon in Eugene, OR, USA. I closely collaborated with the research group on Computing and Data Understanding at eXtreme Scale (CDUX) led by Hank Childs. Their work is closely related to my research within the SFB-TRR 161 at the Visualization Research Center at the University of Stuttgart. In the collaborative project, we worked on performance prediction in hybrid in situ environments.

How can Virtual and Augmented Reality Help to Analyze and Visualize Data?

How can Virtual and Augmented Reality Help to Analyze and Visualize Data?

Since August 2018, Michael Sedlmair is a researcher at the Visualization Research Center at the University of Stuttgart. As Assistant Professor his work focuses on the development of Augmented Reality (AR) and Virtual Reality (VR) solutions, Data Visualization, and Human-Computer Interaction (HCI). In an interview he answered some questions regarding his current and future research activities and his idea of how our future might look like.

Second Sino-German Workshop on Visualization

Second Sino-German Workshop on Visualization

The second Sino-German Workshop on visualization was held in the Estrel hotel, Berlin, Germany on 21st, October 2018, co-located with IEEE VIS 2018. This workshop aimed at bringing together German and Chinese researchers in the field of visualization and was co-organized by Prof. Yunhai Wang from Shandong University, China, and me. Over 40 participants from German and Chinese Universities including University of Konstanz, University of Stuttgart, University of Bonn, Shandong University, Zhejiang University, and Peking University were brought together.

IEEE VIS 2018 Meets Berlin

IEEE VIS 2018 Meets Berlin

From October 21 to 26, IEEE VIS 2018, the largest international conference on scientific visualization, information visualization and visual analytics, took place. This year’s VisWeek was located the very first time in Germany and the second time outside the United States. I attended the conference together with many other researchers from Stuttgart, from the Visualization Research Centre (VISUS) and the Institute for Visualization and Interactive Systems (VIS). We had the opportunity to present and discuss our current research and to get in touch with other researchers and exchange ideas.

Computer Science Conference Week in Stuttgart

Computer Science Conference Week in Stuttgart

Last week (October 8-12, 2018) was a conference week for computer scientists in Stuttgart, as three main events took place co-located in space and time: the 1st International Conference on Quantification in Visual Computing (SFB-TRR 161), the 40th German Conference on Pattern Recognition (GCPR), and the 23rd International Symposium on Vision, Modelling, and Visualization (VMV).

Visualizing Uncertainty of Proteins at PacificVis 2018

Visualizing Uncertainty of Proteins at PacificVis 2018

We presented an approach for uncertainty visualization of proteins at the 11th IEEE Pacific Visualization Symposium in Kōbe, Japan. In some application areas such as medical visualization or weather forecasting, uncertainty is nowadays often illustrated to enable a more informed visual analysis. However, molecular visualization rarely incorporates uncertainty, although it is present in the data.