VLDB 2026 Research / reviewers in the wild / expert
Tristan Ebert
dblp:334/4139
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Automated reasoning and model checking · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking
hybrid systems verification |
0.6 | 1 | 2022 | Recent developments in theory and tool support for hybrid systems verification with HyPro · Inf. Comput. 2022 |
Automated reasoning and model checking
reachability |
0.6 | 1 | 2022 | Recent developments in theory and tool support for hybrid systems verification with HyPro · Inf. Comput. 2022 |
Automated reasoning and model checking
verification tools |
0.2 | 1 | 2022 | Recent developments in theory and tool support for hybrid systems verification with HyPro · Inf. Comput. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Recent developments in theory and tool support for hybrid systems verification with HyProabstractOver the last decades, the development of algorithms and tools for the safety verification of hybrid systems has been content of intensive research. Numerous novel ideas have been presented and implemented in different tools. Whereas the majority of these tools offer fixed implementations, only few general libraries have been provided for the development of new verification tools. HyPro is such an example, providing a C++ programming library for the implementation of certain types of reachability analysis algorithms for linear hybrid systems. These algorithms, based on flowpipe construction, need geometric or symbolic representation for state sets of hybrid systems. HyPro offers datatypes for different representations, conversions between them, and efficient algorithms based on these datatypes. Since its release in 2017, HyPro's functionalities have been extended by several implementations. In this paper we give a general introduction to flowpipe-construction-based methods and report on HyPro's functional advances as well as on applications of the library. Stefan Schupp, Erika Ábrahám, Tristan Ebert |
Inf. Comput. | 3 |