Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonathan Ezekiel
dblp:04/1884
· DBLP profile ↗
6ranked-venue papers
6as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 3 first-authorTheory of computation · 3 · 3 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.
| Software engineering, system software, and programming languages
2 papers |
Program verification · 65% Software testing · 35% | |
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% | |
| Theoretical computer science
1 paper |
Automated reasoning and model checking · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Parallel and multicore computing · 66% Embedded and real-time systems · 34% | |
| Computer networks
1 paper |
Internet architecture and protocols · 100% |
Topics — the 8 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › robustness
fault tolerance |
0.3 | 1 | 2017 | Combining fault injection and model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systems · Inf. Comput. 2017 |
Software testing › mutation testing
fault injection |
0.3 | 1 | 2017 | Combining fault injection and model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systems · Inf. Comput. 2017 |
Program verification
model checking |
0.3 | 1 | 2017 | Combining fault injection and model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systems · Inf. Comput. 2017 |
Program verification › system verification
fault tolerance verification |
0.1 | 1 | 2011 | Verifying Fault Tolerance and Self-Diagnosability of an Autonomous Underwater Vehicle · IJCAI 2011 |
Internet architecture and protocols › local area network › ring network
token ring |
0.1 | 1 | 2017 | Combining fault injection and model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systems · Inf. Comput. 2017 |
Parallel and multicore computing › parallel algorithms
parallel model checking |
0.1 | 1 | 2007 | Parallelising Symbolic State-Space Generators · CAV 2007 |
Automated reasoning and model checking
model checking |
0.1 | 1 | 2007 | Parallelising Symbolic State-Space Generators · CAV 2007 |
Automated reasoning and model checking
symbolic state-space representation |
0.1 | 1 | 2007 | Parallelising Symbolic State-Space Generators · CAV 2007 |
Methods — techniques the papers use, named apart from their topics
temporal-epistemic logic · 0.9model checking · 0.9fault injection · 0.9symbolic state-space generation · 0.1parallelization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Combining fault injection and model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systemsabstractWe present an automated technique that combines fault injection with model checking to verify fault tolerance, recoverability, and diagnosability in multi-agent systems. We define a general method for mutating a multi-agent systems model representing correct behaviour by injecting faults into it, and specification patterns based on temporal-epistemic formulas to reason about the correct and faulty behaviours of the mutated model. The technique is implemented in a toolkit that can be used for injecting automatically faults into a multi-agent systems program. The usefulness of the methodology is demonstrated by injecting a number of faults into a model of the IEEE 802.5 token ring LAN protocol and analysing the protocol's fault tolerance, by verifying a number of temporal-epistemic specifications. Jonathan Ezekiel, Andrea Lomuscio |
Inf. Comput. | 1 |
| 2011 | Verifying Fault Tolerance and Self-Diagnosability of an Autonomous Underwater Vehicle
Jonathan Ezekiel, Alessio Lomuscio, Levente Molnar, Sandor M. Veres |
IJCAI | 1 |
| 2011 | To Parallelize or to Optimize?abstractJournal Article To Parallelize or to Optimize? Get access Jonathan Ezekiel, Jonathan Ezekiel Department of Computing, Imperial College, London, UK.E-mail: [email protected] Search for other works by this author on: Oxford Academic Google Scholar Gerald Lüttgen, Gerald Lüttgen Department of Computer Science, University of York, Heslington, York YO10 5DD, UK.E-mail: [email protected] Search for other works by this author on: Oxford Academic Google Scholar Radu Siminiceanu Radu Siminiceanu National Institute of Aerospace, Hampton, Virginia, USA.E-mail: [email protected] Search for other works by this author on: Oxford Academic Google Scholar Journal of Logic and Computation, Volume 21, Issue 1, February 2011, Pages 85–120, https://doi.org/10.1093/logcom/exp006 Published: 12 February 2009 Article history Received: 29 February 2008 Published: 12 February 2009 Jonathan Ezekiel, Gerald Lüttgen, Radu Siminiceanu |
J. Log. Comput. | 1 |
| 2010 | A Methodology for Automatic Diagnosability Analysis
Jonathan Ezekiel, Alessio Lomuscio |
ICFEM | 1 |
| 2009 | An Automated Approach to Verifying Diagnosability in Multi-agent SystemsabstractWe propose a general analysis method for recursive, concurrent programs that tracks effectively procedure calls and returns in a concurrent context, even in the presence of unbounded recursion and infinite-state variables like integers. This method generalizes the relational interprocedural analysis of sequential programs to the concurrent case. We implemented it for programs with scalar variables, and we experimented several classical synchronisation protocols in order to illustrate the precision of our technique, but also to analyze the approximations it performs. Jonathan Ezekiel, Alessio Lomuscio |
SEFM | 1 |
| 2007 | Parallelising Symbolic State-Space Generators
Jonathan Ezekiel, Gerald Lüttgen, Gianfranco Ciardo |
CAV | 1 |