VLDB 2026 Research / reviewers in the wild / expert
Paul Accisano
dblp:93/9733
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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.
| Theoretical computer science
1 paper |
Computational geometry · 67% Computational complexity · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational geometry
convex hull |
0.1 | 1 | 2011 | Geometric computation with smart pixels · SCG 2011 |
Computational complexity
parallel complexity |
0.1 | 1 | 2011 | Geometric computation with smart pixels · SCG 2011 |
Computational geometry › convex hull
parallel convex hull |
0.1 | 1 | 2011 | Geometric computation with smart pixels · SCG 2011 |
Methods — techniques the papers use, named apart from their topics
cellular automata · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Geometric computation with smart pixelsabstract"Smart pixels" are sensor pixels which have been imbued with a limited amount of processing power. Consider a model of computation in which a grid of these smart pixels can perform simple arithmetic, store a small amount of data, and communicate with their direct neighbors. In this video, we review recent algorithms for well-known geometric problems developed within such a model. Specifically, given a black-and-white image on a w by h grid of smart pixels, we show how the sizes, orientations, centers of gravity, and convex hulls of multiple objects on the grid can be computed simultaneously in time O(w + h). Paul Accisano, Alper Üngör |
SCG | 1 |