Prof. Anders Ynnerman, Linköping University, Sweden
Wednesday, November 06, 2019, 09:00
- 10:00
B9, Lecture Hall 2, Room 2325
Abstract
Science communication is facing a p
Graham Johnson, Allen Institute for Cell Science, USA
Tuesday, November 05, 2019, 09:00
- 10:00
B9, Lecture Hall 2, Room 2325
Abstract
The visual analysis, assembly, and
Prof. Arthur Olson, The Scripps Research Institute, USA
Monday, November 04, 2019, 09:00
- 10:00
B9, Lecture Hall 2, Room 2325
Abstract
The ability to create structural mo
Monday, November 04, 2019, 08:30
- 10:00
B9, Lecture Hall 2, Room 2325
Contact Person
You are invited to attend the KAUST Cell Visualization Summit 2019 organized by t
Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany
Monday, October 07, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Abstract
In this talk, I will present our re
Dr. Yunhai Wang, Professor, Computer Science, Shandong University, China
Wednesday, October 02, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 2, Room 2325
Contact Person
Abstract
By providing visual representations
Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia
Wednesday, September 25, 2019, 13:00
- 14:00
Building 1, Level 2, VCC Lecture Room
Contact Person
Abstract
Our ongoing research on the reconst
Prof. Xiaoru Yuan, Peking University
Monday, April 15, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
In this talk, I will introduce a few recent works on tree visualization. First I will present a visualization technique for comparing topological structures and node attribute values of multiple trees. I will further introduce GoTree, a declarative grammar supporting the creation of a wide range of tree visualizations. In the application side, visualization and visual analytics on social media will be introduced. The data from social media can be considered as graphs or trees with complex attributes. A few approaches using map metaphor for social media data visualization will be discussed.