What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Operating system
His primary scientific interests are in DEVS, Discrete event simulation, Distributed computing, Modeling and simulation and Theoretical computer science.
As part of the same scientific family, Bernard P. Zeigler usually focuses on DEVS, concentrating on Service-oriented architecture and intersecting with Composability and Interoperability.
The concepts of his Discrete event simulation study are interwoven with issues in Discrete event dynamic system, Distributed design patterns, Control reconfiguration, SP-DEVS and Modular design.
Bernard P. Zeigler interconnects Event, Systems design, Software engineering and Systems architecture in the investigation of issues within Modeling and simulation.
The Software engineering study combines topics in areas such as Unified Modeling Language and Artificial intelligence.
As part of one scientific family, he deals mainly with the area of Theoretical computer science, narrowing it down to issues related to the Formal specification, and often Concurrent engineering and Multitier architecture.
His most cited work include:
- Theory of modeling and simulation (2541 citations)
- Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems (838 citations)
- Theory of Modelling and Simulation. (703 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are DEVS, Theoretical computer science, Modeling and simulation, Distributed computing and Discrete event simulation.
His DEVS research is multidisciplinary, relying on both Event, Programming language, Software engineering and Artificial intelligence.
His study in Software engineering is interdisciplinary in nature, drawing from both Service-oriented architecture and Web service.
His studies deal with areas such as Rotation formalisms in three dimensions, Set and Modular design as well as Theoretical computer science.
His Modeling and simulation research includes elements of Software, Simulation modeling and Interoperability.
His study in Common Object Request Broker Architecture and Middleware is carried out as part of his Distributed computing studies.
He most often published in these fields:
- DEVS (41.29%)
- Theoretical computer science (20.22%)
- Modeling and simulation (19.78%)
What were the highlights of his more recent work (between 2015-2020)?
- DEVS (41.29%)
- Modeling and simulation (19.78%)
- Theoretical computer science (20.22%)
In recent papers he was focusing on the following fields of study:
Bernard P. Zeigler mostly deals with DEVS, Modeling and simulation, Theoretical computer science, System of systems and Programming language.
His DEVS research incorporates themes from Mathematical proof, Probabilistic logic, Markov chain, Markov model and Discrete event simulation.
His Discrete event simulation research integrates issues from Industrial engineering, Value of information, Conceptual model, Cost estimate and Event.
His work carried out in the field of Modeling and simulation brings together such families of science as Context model, Algorithm, Software, Cloud computing and Software engineering.
He has included themes like Structure, SP-DEVS, Human language and System requirements specification in his Theoretical computer science study.
His Artificial intelligence study combines topics in areas such as Discrete event modeling and Systems modeling.
Between 2015 and 2020, his most popular works were:
- Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations (23 citations)
- Towards a framework for more robust validation and verification of simulation models for systems of systems (19 citations)
- Extended variability modeling using system entity structure ontology within MATLAB/Simulink (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Operating system
His main research concerns DEVS, Modeling and simulation, System of systems, Process management and Knowledge management.
His research in DEVS is mostly focused on SP-DEVS.
His Modeling and simulation study combines topics from a wide range of disciplines, such as Algorithm, Theoretical computer science and Cyber-physical system.
His biological study spans a wide range of topics, including Ontology, Discrete event simulation, Source code and Metamodeling.
The various areas that Bernard P. Zeigler examines in his System of systems study include Formal verification and Intelligent verification.
Bernard P. Zeigler combines subjects such as Context, Risk analysis and Currency with his study of Knowledge management.
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