Demo Data from EDBT 2026 / reviewers in the wild / expert
Alexander Straub
dblp:300/7300
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-6749-9710ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › software visualization
data-flow visualization |
0.8 | 1 | 2024 | Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs · IEEE Trans. Vis. Comput. Graph. 2024 |
Visualization and visual analytics
ensemble visualization |
0.8 | 1 | 2024 | Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs · IEEE Trans. Vis. Comput. Graph. 2024 |
Visualization and visual analytics
spatiotemporal visualization |
0.8 | 1 | 2024 | Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
topological change detection · 0.8time map condensation · 0.8graph simplification · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow GraphsabstractWe developed a new approach comprised of different visualizations for the comparative spatio-temporal analysis of displacement processes in porous media. We aim to analyze and compare ensemble datasets from experiments to gain insight into the influence of different parameters on fluid flow. To capture the displacement of a defending fluid by an invading fluid, we first condense an input image series to a single time map. From this map, we generate a spatio-temporal flow graph covering the whole process. This graph is further simplified to only reflect topological changes in the movement of the invading fluid. Our interactive tools allow the visual analysis of these processes by visualizing the graph structure and the context of the experimental setup, as well as by providing charts for multiple metrics. We apply our approach to analyze and compare ensemble datasets jointly with domain experts, where we vary either fluid properties or the solid structure of the porous medium. We finally report the generated insights from the domain experts and discuss our contribution's advantages, generality, and limitations. Alexander Straub, Nikolaos Karadimitriou, Guido Reina, Steffen Frey, Holger Steeb, Thomas Ertl |
IEEE Trans. Vis. Comput. Graph. | 1 |