Demo Data from EDBT 2026 / reviewers in the wild / expert
Hernán Gagliardi
dblp:410/5438
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Theory of computation · 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.
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 80% Logic in computer science · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking › reactive synthesis
compositional synthesis |
0.9 | 1 | 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event Control · CAV (4) 2025 |
Automated reasoning and model checking › reactive synthesis
GR(1) synthesis |
0.9 | 1 | 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event Control · CAV (4) 2025 |
Logic in computer science › temporal logic
linear temporal logic |
0.9 | 1 | 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event Control · CAV (4) 2025 |
Automated reasoning and model checking
reactive synthesis |
0.9 | 1 | 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event Control · CAV (4) 2025 |
Automated reasoning and model checking › discrete event systems
supervisory control |
0.9 | 1 | 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event Control · CAV (4) 2025 |
Methods — techniques the papers use, named apart from their topics
observational synthesis equivalence · 0.9labelled transition systems · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Scaling GR(1) Synthesis via a Compositional Frameworkfor LTL Discrete Event ControlabstractAbstract We present a compositional approach to controller synthesis of discrete event system controllers with linear temporal logic (LTL) goals. We exploit the modular structure of the plant to be controlled, given as a set of labelled transition systems (LTS), to mitigate state explosion that monolithic approaches to synthesis are prone to. Maximally permissive safe controllers are iteratively built for subsets of the plant LTSs by solving weaker control problems. Observational synthesis equivalence is used to reduce the size of the controlled subset of the plant by abstracting away local events. The result of synthesis is also compositional, a set of controllers that when run in parallel ensure the LTL goal. We implement synthesis in the MTSA tool for an expressive subset of LTL, GR(1), and show it computes solutions to that can be up to 1000 times larger than those that the monolithic approach can solve. Hernán Gagliardi, Víctor A. Braberman, Sebastián Uchitel |
CAV (4) | 1 |