EDBT 2026 Demo / reviewers in the wild / expert
Mohak Patel
dblp:294/0622
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-5627-0224ORCID · 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 · 87% Geometric modeling and processing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › visual encoding
glyph-based visualization |
0.5 | 1 | 2021 | Visualization of 3D Stress Tensor Fields Using Superquadric Glyphs on Displacement Streamlines · IEEE Trans. Vis. Comput. Graph. 2021 |
Visualization and visual analytics › scientific visualization
tensor field visualization |
0.5 | 1 | 2021 | Visualization of 3D Stress Tensor Fields Using Superquadric Glyphs on Displacement Streamlines · IEEE Trans. Vis. Comput. Graph. 2021 |
Methods — techniques the papers use, named apart from their topics
user study · 0.5superquadric glyphs · 0.5color encoding · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Visualization of 3D Stress Tensor Fields Using Superquadric Glyphs on Displacement StreamlinesabstractStress tensor fields play a central role in solid mechanics studies, but their visualization in 3D space remains challenging as the information-dense multi-variate tensor needs to be sampled in 3D space while avoiding clutter. Taking cues from current tensor visualizations, we adapted glyph-based visualization for stress tensors in 3D space. We also developed a testing framework and performed user studies to evaluate the various glyph-based tensor visualizations for objective accuracy measures, and subjective user feedback for each visualization method. To represent the stress tensor, we color encoded the original superquadric glyph, and in the user study, we compared it to superquadric glyphs developed for second-order symmetric tensors. We found that color encoding improved the user accuracy measures, while the users also rated our method the highest. We compared our method of placing stress tensor glyphs on displacement streamlines to the glyph placement on a 3D grid. In the visualization, we modified the glyph to show both the stress tensor and the displacement vector at each sample point. The participants preferred our method of glyph placement on displacement streamlines as it highlighted the underlying continuous structure in the tensor field. Mohak Patel, David H. Laidlaw |
IEEE Trans. Vis. Comput. Graph. | 1 |