VLDB 2026 Research / reviewers in the wild / expert
Aymen Echarghaoui
dblp:341/1516
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 67% Algorithms and data structures · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
evolutionary computation |
0.8 | 1 | 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations · AAAI 2024 |
Mathematical optimization › evolutionary computation
genetic algorithm |
0.8 | 1 | 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations · AAAI 2024 |
Algorithms and data structures › runtime analysis
runtime analysis of evolutionary algorithms |
0.8 | 1 | 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations · AAAI 2024 |
Methods — techniques the papers use, named apart from their topics
drift analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse PopulationsabstractInternational audience Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca |
AAAI | 2 |