News
Davide Ceneda - Best PhD Thesis Award @ EuroVis 2021
On June 15 2021, Davide Ceneda was awarded the "Best PhD Dissertation Award" for his thesis "Guidance-Enriched Visual Analytics" during EuroVis 2021 --- announced in the Opening
Silvia Miksch @ FwF's celebration of Hertha Firnberg's and Elise Richter's career grants' awardees
On March 25th, 2021, the Austrian Science Fund (FWF) has organized a large-scale online event to festively congratulate the winners of the
Gone Full Circle Published
We are happy to announce on February 1, 2021 our publication Gone full circle: A radial approach to visualize event-based networks in digital humanities was published to the Visual Informatics journal.
Full paper available at https://www.sciencedirect.com/science/article/pii/S2468502X21000012
Markus Bögl – Successful PhD Defense
On November 27, 2020 Markus Bögl successfully defended his PhD thesis titled
"Visual Analysis of Periodic Time Series Data".
Nikolaus Piccolotto - Successful PhD Proficiency Evaluation
On Nov 13, 2020 Nikolaus Piccolotto successfully defended his PhD proposal titled "Visual Analytics for Blind Source Separation in Time and Space".
The examination committee included:
Silvia Miksch inducted into The IEEE VGTC Visualization Academy 2020
Silvia Miksch was inducted into The IEEE VGTC Visualization Academy (or in short Vis Academy). The Vis Academy was established in 2018 by the IEEE VGTC Executive Committee. Induction to the Vis Academy is the highest and most prestigious honor in the field of visualization.
Davide Ceneda :: Successful PhD Defense
On October 23, 2020 Davide Ceneda successfully defended his PhD thesis titled
"Guidance-Enriched Visual Analytics".
IMMV featured in Der Presse (in German)
Our IMMV project "Music Mapping Vienna" was featured in the article "Österreich sollte wieder "ehrenhaft" klingen“ in the Newspaper „Die Presse“ from 22th August 2020.
Book "Foundations of Visualization" is now published by Springer
About 50 contributors worked together on one project over about 2,5 years which resulted in a book with 4 different parts, 21 single chapters, and roughly 400 pages which is unbelievable.
Foundations of Data Visualization
Chen, M., Hauser, H., Rheingans, P., Scheuermann, G. (Eds.)
Springer, 2020