What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Programming language
Christiaan J. J. Paredis spends much of his time researching Artificial intelligence, Systems engineering, Systems Modeling Language, Control engineering and Robot.
His biological study spans a wide range of topics, including User interface, Decision theory and Modular design.
His Systems engineering research incorporates themes from Variety, Software engineering, Conceptualization and Engineering design process.
His studies deal with areas such as Model transformation, Modelica and Modeling language as well as Systems Modeling Language.
His Control engineering study combines topics in areas such as Distributed computing, Cartesian coordinate system, Task and Production control.
His studies in Robot integrate themes in fields like Automation, Development and Gesture, Computer vision.
His most cited work include:
- Heterogeneous Teams of Modular Robots for Mapping and Exploration (172 citations)
- Kinematic design of serial link manipulators from task specifications (117 citations)
- Modeling and simulation methods for design of engineering systems (108 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Systems engineering, Engineering design process, Systems Modeling Language, Mathematical optimization and Control engineering.
The study incorporates disciplines such as Software engineering and Industrial engineering in addition to Systems engineering.
His work in Engineering design process addresses subjects such as Management science, which are connected to disciplines such as Decision theory and Variety.
His research in Systems Modeling Language tackles topics such as Modeling language which are related to areas like Executable.
His Control engineering research includes elements of Fault tolerance, Robot, Control theory and Modular design.
As a member of one scientific family, Christiaan J. J. Paredis mostly works in the field of Modular design, focusing on Task and, on occasion, Artificial intelligence.
He most often published in these fields:
- Systems engineering (21.33%)
- Engineering design process (16.11%)
- Systems Modeling Language (12.32%)
What were the highlights of his more recent work (between 2013-2020)?
- Systems engineering (21.33%)
- Heuristics (5.69%)
- Process (9.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Systems engineering, Heuristics, Process, Engineering design process and Management science.
Particularly relevant to Systems design is his body of work in Systems engineering.
His Process study combines topics from a wide range of disciplines, such as Domain, Software engineering, Modeling and simulation, Information exchange and Process management.
His Engineering design process study incorporates themes from Value and Decision support system.
His research in Management science intersects with topics in Decision theory and Value-driven design.
Christiaan J. J. Paredis combines subjects such as Systems Modeling Language and Unified Modeling Language with his study of Artificial intelligence.
Between 2013 and 2020, his most popular works were:
- Towards Effective Management of Inconsistencies in Model-Based Engineering of Automated Production Systems (47 citations)
- Dynamic performance analysis of two regional nuclear hybrid energy systems (45 citations)
- Value-Based Global Optimization (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Programming language
Christiaan J. J. Paredis mainly investigates Variety, Model-based systems engineering, Systems engineering, Management science and Process.
The concepts of his Variety study are interwoven with issues in Rotation formalisms in three dimensions and Engineering design process.
His studies in Rotation formalisms in three dimensions integrate themes in fields like Mechatronics and Software.
The Systems engineering study combines topics in areas such as Value, Value-driven design, Software engineering and Heuristics.
His Management science research includes elements of Decision theory and Maximization.
His Process study combines topics in areas such as Verification and validation of computer simulation models, Ontology, Domain model and Modeling and simulation.
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