Demo Data from VLDB 2026 / reviewers in the wild / expert
Luz E. Pinzon
dblp:53/493
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorTheory 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
2 papers |
Automated reasoning and model checking · 77% Automata and formal languages · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Automated reasoning and model checking
discrete event systems |
0.1 | 2 | 2005 | Modeling Admissible Behavior Using Event Signals · ICRA 2005 Modeling Admissible Behavior with Net Condition/Event Systems · ICRA 2000 |
Automata and formal languages
petri nets |
0.0 | 2 | 2005 | Modeling Admissible Behavior Using Event Signals · ICRA 2005 Modeling Admissible Behavior with Net Condition/Event Systems · ICRA 2000 |
Methods — techniques the papers use, named apart from their topics
state machine · 0.1petri nets · 0.1net condition/event systems · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Modeling Admissible Behavior Using Event SignalsabstractWe describe here how to obtain a model for the admissible behavior of a Discrete Event System that is represented by a safe Petri Net model. The events of this Petri Net model may be controllable or uncontrollable. Also given is a sequential specification which is modeled with a special state machine. Then, using the condition and event arcs of Net ConditionlEvent Systems, a combined model of plant and specification is obtained. We use only the structure of this combined model to develop a method which gives the admissible behavior of the system. Thus, we avoid the complexity of a complete state enumeration. Luz E. Pinzon, Mohsen A. Jafari, Ardavan Amini, Hans-Michael Hanisch |
ICRA | 1 |
| 2004 | Modeling admissible behavior using event signalsabstractWe describe here how to obtain a model for the admissible behavior of a discrete event system that is represented by a safe Petri net (PN) model. The transitions of this PN model may be controllable or uncontrollable. Also given is a sequential specification which is modeled with a special state machine. Then, using the condition and event arcs of net condition/event systems, a combined model of plant and specification is obtained. We use only the structure of this combined model to develop a method which gives the admissible behavior of the system. Thus, we avoid the complexity of a complete state enumeration. Luz E. Pinzon, Mohsen A. Jafari, Hans-Michael Hanisch |
IEEE Trans. Syst. Man Cybern. Part B | 1 |
| 2000 | Modeling Admissible Behavior with Net Condition/Event SystemsabstractWe address the problem of obtaining a model for the admissible behavior of a discrete event system in the presence of uncontrollable events. We start with a safe Petri net model of the plant and a sequential specification modeled with a special state machine. Then, a combined model of plant and specification is obtained by using the condition and event arcs of net condition/event systems. Using the structure of this combined model, we are able to develop a method to obtain the admissible behavior which avoids the complexity of a complete state enumeration. Luz E. Pinzon, Mohsen A. Jafari, Hans-Michael Hanisch |
ICRA | 1 |
| 1999 | A Comparative Study of Synthesis Methods for Discrete Event Controllers
Luz E. Pinzon, Hans-Michael Hanisch, Mohsen A. Jafari, Thomas O. Boucher |
Formal Methods Syst. Des. | 1 |