Demo Data from EDBT 2026 / reviewers in the wild / expert
Ioanna Malli
dblp:304/4162
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 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.
| Artificial intelligence
1 paper |
Multi-agent systems · 100% | |
| Theoretical computer science
1 paper |
Distributed computing theory · 50% Information theory · 50% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
networked multi-robot systems |
0.5 | 1 | 2021 | Robust Distributed Estimation of the Algebraic Connectivity for Networked Multi-robot Systems · ICRA 2021 |
Distributed computing theory
distributed algorithms |
0.1 | 1 | 2021 | Robust Distributed Estimation of the Algebraic Connectivity for Networked Multi-robot Systems · ICRA 2021 |
Information theory › statistical inference › distributed inference
distributed estimation |
0.1 | 1 | 2021 | Robust Distributed Estimation of the Algebraic Connectivity for Networked Multi-robot Systems · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
consensus-based estimation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Robust Distributed Estimation of the Algebraic Connectivity for Networked Multi-robot SystemsabstractThe connectivity of distributed networked multi-robot systems is a crucial operational specification, since the involved robots interact/communicate locally only with their immediate neighbors. Thus, in this work, we propose a distributed algorithm to estimate the algebraic connectivity of the underlying communication graph, which stands as a valid connectivity metric. Our method establishes robustness and fast convergence properties that can be adjusted independently via the appropriate selection of certain design parameters. Finally, we confirm the theoretical findings through simulated paradigms and verify the superiority of our method against a well-established solution of the related literature. Ioanna Malli, Charalampos P. Bechlioulis, Kostas J. Kyriakopoulos |
ICRA | 1 |