What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Electrical engineering
Manuel Silva mainly focuses on Petri net, Stochastic Petri net, Discrete mathematics, Theoretical computer science and Process architecture.
Petri net is a subfield of Algorithm that Manuel Silva tackles.
His Stochastic Petri net research is multidisciplinary, incorporating elements of Synchronization, Interpretation, Generalization and Graph theory.
His Discrete mathematics research is multidisciplinary, incorporating perspectives in Net and Algebraic number.
The concepts of his Theoretical computer science study are interwoven with issues in Event, Discrete event dynamic system, Rotation formalisms in three dimensions, State and Throughput.
His research in Process architecture intersects with topics in Scheduling, Mathematical optimization and Mutual exclusion.
His most cited work include:
- Generalized mutual exclusion contraints on nets with uncontrollable transitions (319 citations)
- A Simple and Fast Algorithm to Obtain All Invariants of a Generalized Petri Net (217 citations)
- Petri nets and flexible manufacturing (211 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Petri net, Stochastic Petri net, Robot, Control theory and Theoretical computer science.
His Petri net research includes elements of Discrete mathematics, Liveness and Semantics.
His study in Discrete mathematics is interdisciplinary in nature, drawing from both Net, Bounded function and Incidence matrix.
His Stochastic Petri net research is multidisciplinary, relying on both State, Reachability, Discrete system and Linear programming, Mathematical optimization.
His Robot research is multidisciplinary, incorporating perspectives in Control engineering and Simulation.
His studies link Hexapod with Control theory.
He most often published in these fields:
- Petri net (47.49%)
- Stochastic Petri net (21.11%)
- Robot (18.73%)
What were the highlights of his more recent work (between 2013-2021)?
- Petri net (47.49%)
- Robot (18.73%)
- Artificial intelligence (12.40%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Petri net, Robot, Artificial intelligence, Engineering management and Sustainability.
His biological study spans a wide range of topics, including Semantics, Throughput and Theoretical computer science.
His Theoretical computer science study combines topics from a wide range of disciplines, such as DSSP and Set.
His studies deal with areas such as Control engineering, Software and Trajectory as well as Robot.
His research integrates issues of Human–computer interaction and Computer vision in his study of Artificial intelligence.
His Engineering management research incorporates themes from Project-based learning and Process.
Between 2013 and 2021, his most popular works were:
- Enhanced thermoelectric properties of Sb2Te3 and Bi2Te3 films for flexible thermal sensors (28 citations)
- The European Project Semester at ISEP: the challenge of educating global engineers (24 citations)
- Petri nets and Automatic Control: A historical perspective (18 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Electrical engineering
His primary scientific interests are in Petri net, Teamwork, Engineering education, Control theory and Capstone.
His study in Process architecture and Stochastic Petri net is carried out as part of his studies in Petri net.
Manuel Silva combines subjects such as Control and Systems engineering with his study of Process architecture.
He has included themes like Sustainability, Sustainable development, Teaching method, Project-based learning and Project management in his Engineering education study.
The various areas that Manuel Silva examines in his Control theory study include Convergence, Semantics and Homothetic transformation.
While the research belongs to areas of Capstone, he spends his time largely on the problem of Engineering ethics, intersecting his research to questions surrounding Professional development and Critical thinking.
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