GD2025 PhD School
Location
The PhD school takes place in the room Teaching Room TP42 of Linköping University Campus Norrköping, which is located on the 4nd floor of the building Täppan of Campus Norrköping.
Google Maps Location
Campus MazeMap
The location is accessible by wheelchair and the registration and coffee breaks for the PhD school are located in the same room.
Program (Preliminary)
Monday, September 22 | |
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Time | Event |
09:00 — 12:00 | Information Visualization Perspective on Network Visualization . |
09:00 — 10:30 | Lecture |
10:30 — 11:00 | Coffee Break |
11:00 — 12:00 | Exercises & Discussion |
12:00 — 14:00 | Individual Lunch Break |
14:00 — 17:00 | Metrics Evaluations for Graphs . |
14:00 — 15:30 | Lecture |
15:30 — 16:00 | Coffee Break |
16:00 — 17:00 | Exercises & Discussion |
Tuesday, September 23 | |
---|---|
Time | Event |
09:00 — 12:00 | Machine Learning in Graph Drawing |
09:00 — 10:30 | Lecture |
10:30 — 11:00 | Coffee Break |
11:00 — 12:00 | Exercises & Discussion |
12:00 — 14:00 | Individual Lunch Break |
14:00 — 17:00 | User Evaluations in Graph Drawing . |
14:00 — 15:30 | Lecture |
15:30 — 16:00 | Coffee Break |
16:00 — 17:00 | Exercises & Discussion |
Lecturers
Preliminary Title:
Information Visualization Perspective on Network Visualization
Biography:
I'm a postdoc at TU Wien, previously held a postdoc position at the University of Konstanz, and completed my doctorate at Northeastern University in Boston. My research focuses on graph drawing—particularly layered graphs, generative models, and virtual reality. I value any research project that involves a bit of creativity and artistry.
Preliminary Title:
Metrics Evaluations for Graphs
Biography:
Markus Chimani is a Professor of Theoretical Computer Science at Osnabrück University. He studied Computer Science at TU Vienna from 1999 to 2004. After a six-month research stay at Mitsubishi Electric Research Labs in Boston, MA, he began his PhD at TU Dortmund under the supervision of Prof. Petra Mutzel (Chair of Algorithm Engineering), receiving his doctorate in late 2008. He continued there as a postdoctoral researcher, with a two-month visiting period at Masaryk University in Brno, Czech Republic, working with Prof. Petr Hliněný in spring 2009. In April 2010, he became a junior professor of Algorithm Engineering at Friedrich Schiller University Jena, a position funded by the Carl-Zeiss Foundation. Since April 2013, he has led the Theoretical Computer Science group at Osnabrück University, where he has held a full professorship (W3) since 2017.
Preliminary Title:
Machine Learning in Graph Drawing
Biography:
Daniel is a Professor of Visualisation and Data Science at Newcastle University. His research focuses on enabling visualisation and visual analytics systems to scale in the age of data science. He explores key problems in data science and AI, graph drawing, social and complex network analysis, and human-computer interaction, often within interdisciplinary contexts. His work spans the full data-to-human pipeline—from developing algorithms for visualising abstract data to conducting perceptual evaluations of these interfaces with users. His primary interests lie in visual analytics for machine learning and network visualisation.
Preliminary Title:
User Evaluations in Graph Drawing
Biography:
Camilla Forsell is an Associate Professor in evaluation methodology and visualization and works at the Division of Media and Information Technology, Linköping University. She is also director of undergraduate studies and deputy head of the division. Camilla holds a master's degree in cognitive science from Linköping University in 2003, and a doctorate in human-computer interaction from Uppsala University in 2007. She has worked at Linköping University since 2007, as an Associate Professor since 2013.