Four MSc students and two BSc students successfully defended their theses
Congratulations to all six students who successfully defended their theses on visualization topics! The thesis topics ranged from improving 3D edge-bundling algorithms to be used in immersive analytics scenarios to automatically computing axis breaks for highly skewed data. All six students graduated from Aarhus University and will now carry their expertise in data visualization into industry.
Congratulations to 6 BSc students and 2 MSc students to their successful defenses on Data Visualization topics!
The thesis topics were very diverse this year — from rendering algorithms for progressive line charts to a Visual Analytics tool for finding Twitter bots, from polyomino packings at interactive frame rates to unit visualization for music — our students worked hard to push the boundaries of the current state-of-the-art in data visualization. I'm looking forward to some follow-up publications!
Chart clinic for improving plots and diagrams from soon to be submitted CS and IT Product Development BSc theses
I will offer a “chart clinic” for all 128 BSc students at our department who will hand-in their BSc theses next month. Students can submit charts from their theses to discuss them in a joint BSc special lecture. Are the colors right? What about the axis labels? Would an entirely different chart have been better? I'm looking forward to two interesting hours of dissecting and improving figures!
Successful Defenses of three Bachelor Theses and three Master Theses on Visualization Topics
This year’s BSc and MSc theses in visualization did not shy away from tough topics: from progressive visualization of space telescope data to layouts for large knowledge graphs, from improving the ordering of stacked area charts to debiasing visual analysis with alternative views — our students excelled at solving some very hard visualization problems. Congratulations to all of them!
New PhD position on View Space Interaction for Visual Analytics
A fully funded 3-year PhD position starting in May 2019 is available and we invite exceptional candidates to join the team and to apply until February 1st. This PhD project sets out to investigate how to best support the unique collaboration between a running computational analysis and a human analyst who interactively explores a visualization of the computation's intermediate results.