Demo Data from EDBT 2026 / reviewers in the wild / expert
Zachary Gaston
dblp:58/10398
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 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
flow visualization |
0.1 | 1 | 2011 | Vortex Visualization in Ultra Low Reynolds Number Insect Flight · IEEE Trans. Vis. Comput. Graph. 2011 |
Visualization and visual analytics › flow visualization
vortex visualization |
0.1 | 1 | 2011 | Vortex Visualization in Ultra Low Reynolds Number Insect Flight · IEEE Trans. Vis. Comput. Graph. 2011 |
Computational science and engineering
computational fluid dynamics |
0.0 | 1 | 2011 | Vortex Visualization in Ultra Low Reynolds Number Insect Flight · IEEE Trans. Vis. Comput. Graph. 2011 |
Methods — techniques the papers use, named apart from their topics
flow lines · 0.2CFD simulation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Vortex Visualization in Ultra Low Reynolds Number Insect FlightabstractWe present the visual analysis of a biologically inspired CFD simulation of the deformable flapping wings of a dragonfly as it takes off and begins to maneuver, using vortex detection and integration-based flow lines. The additional seed placement and perceptual challenges introduced by having multiple dynamically deforming objects in the highly unsteady 3D flow domain are addressed. A brief overview of the high speed photogrammetry setup used to capture the dragonfly takeoff, parametric surfaces used for wing reconstruction, CFD solver and underlying flapping flight theory is presented to clarify the importance of several unsteady flight mechanisms, such as the leading edge vortex, that are captured visually. A novel interactive seed placement method is used to simplify the generation of seed curves that stay in the vicinity of relevant flow phenomena as they move with the flapping wings. This method allows a user to define and evaluate the quality of a seed's trajectory over time while working with a single time step. The seed curves are then used to place particles, streamlines and generalized streak lines. The novel concept of flowing seeds is also introduced in order to add visual context about the instantaneous vector fields surrounding smoothly animate streak lines. Tests show this method to be particularly effective at visually capturing vortices that move quickly or that exist for a very brief period of time. In addition, an automatic camera animation method is used to address occlusion issues caused when animating the immersed wing boundaries alongside many geometric flow lines. Each visualization method is presented at multiple time steps during the up-stroke and down-stroke to highlight the formation, attachment and shedding of the leading edge vortices in pairs of wings. Also, the visualizations show evidence of wake capture at stroke reversal which suggests the existence of previously unknown unsteady lift generation mechanisms that are unique to quad wing insects. Christopher Koehler, Thomas Wischgoll, Haibo Dong, Zachary Gaston |
IEEE Trans. Vis. Comput. Graph. | 4 |