Demo Data from VLDB 2026 / reviewers in the wild / expert
David E. Laney
dblp:70/3896
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
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
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 · 67% Geometric modeling and processing · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › topology
morse theory |
0.1 | 1 | 2006 | Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics
scientific visualization |
0.1 | 1 | 2006 | Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics
topological data analysis |
0.1 | 1 | 2006 | Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic Instabilities · IEEE Trans. Vis. Comput. Graph. 2006 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.1hierarchical segmentation · 0.1geometric tracking · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Understanding the Structure of the Turbulent Mixing Layer in Hydrodynamic InstabilitiesabstractWhen a heavy fluid is placed above a light fluid, tiny vertical perturbations in the interface create a characteristic structure of rising bubbles and falling spikes known as Rayleigh-Taylor instability. Rayleigh-Taylor instabilities have received much attention over the past half-century because of their importance in understanding many natural and man-made phenomena, ranging from the rate of formation of heavy elements in supernovae to the design of capsules for Inertial Confinement Fusion. We present a new approach to analyze Rayleigh-Taylor instabilities in which we extract a hierarchical segmentation of the mixing envelope surface to identify bubbles and analyze analogous segmentations of fields on the original interface plane. We compute meaningful statistical information that reveals the evolution of topological features and corroborates the observations made by scientists. We also use geometric tracking to follow the evolution of single bubbles and highlight merge/split events leading to the formation of the large and complex structures characteristic of the later stages. In particular we (i) Provide a formal definition of a bubble; (ii) Segment the envelope surface to identify bubbles; (iii) Provide a multi-scale analysis technique to produce statistical measures of bubble growth; (iv) Correlate bubble measurements with analysis of fields on the interface plane; (v) Track the evolution of individual bubbles over time. Our approach is based on the rigorous mathematical foundations of Morse theory and can be applied to a more general class of applications. David E. Laney, Peer-Timo Bremer, Ajith Mascarenhas, Paul L. Miller, Valerio Pascucci |
IEEE Trans. Vis. Comput. Graph. | 1 |