What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Software
Paulo Leitão spends much of his time researching Multi-agent system, Systems engineering, Flexibility, Control system and Distributed computing.
His Multi-agent system research is multidisciplinary, incorporating perspectives in Quality, Engineering management, Manufacturing engineering, Service-oriented architecture and Cyber-physical system.
His Systems engineering study combines topics from a wide range of disciplines, such as Complex system, Implementation, Reconfigurability and Totally integrated automation.
Combining a variety of fields, including Flexibility, Adaptation and Computer-integrated manufacturing, are what the author presents in his essays.
His studies in Control system integrate themes in fields like Industrial engineering, Intelligent control, Process control, Adaptive control and Job shop scheduling.
The Distributed computing study combines topics in areas such as Flow shop scheduling, Rate-monotonic scheduling, Dynamic priority scheduling, Fair-share scheduling and Scheduling.
His most cited work include:
- Agent-based distributed manufacturing control: A state-of-the-art survey (604 citations)
- ADACOR: a holonic architecture for agile and adaptive manufacturing control (392 citations)
- Industrial automation based on cyber-physical systems technologies (337 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Multi-agent system, Systems engineering, Distributed computing, Manufacturing engineering and Cyber-physical system.
His Multi-agent system research includes themes of Quality, Control and Adaptation.
His study in Systems engineering is interdisciplinary in nature, drawing from both Control system, Petri net, Process control, Robustness and Totally integrated automation.
His Distributed computing study also includes fields such as
- Smart grid that intertwine with fields like Distributed generation,
- Dynamic priority scheduling and related Fair-share scheduling.
Paulo Leitão studies Manufacturing engineering, namely Computer-integrated manufacturing.
His work carried out in the field of Cyber-physical system brings together such families of science as Cloud computing and Software deployment.
He most often published in these fields:
- Multi-agent system (34.47%)
- Systems engineering (28.33%)
- Distributed computing (18.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Cyber-physical system (12.97%)
- Multi-agent system (34.47%)
- Distributed computing (18.77%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cyber-physical system, Multi-agent system, Distributed computing, Robot and Digital transformation.
His Cyber-physical system study integrates concerns from other disciplines, such as Computer security, Key, Field, Software agent and Cloud computing.
His Multi-agent system research is multidisciplinary, relying on both Systems engineering, Reconfigurability and Modular design.
Paulo Leitão has researched Systems engineering in several fields, including Home automation and Intelligent sensor.
His Distributed computing research is multidisciplinary, incorporating elements of Scheduling and Job shop scheduling.
His Robot study also includes
- Human–computer interaction which is related to area like Maintenance engineering, Task analysis and Quality,
- Augmented reality and related Mobile robot and Swarm behaviour,
- Task, which have a strong connection to Quality control.
Between 2018 and 2021, his most popular works were:
- Digital transformation of manufacturing through cloud services and resource virtualization (43 citations)
- System architectures for Industrie 4.0 applications: Derivation of a generic architecture proposal (21 citations)
- Multistage Quality Control Using Machine Learning in the Automotive Industry (14 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Software
His main research concerns Cyber-physical system, Digital transformation, Robot, Cloud computing and Multi-agent system.
The various areas that Paulo Leitão examines in his Cyber-physical system study include Field and Key.
His Robot research integrates issues from Augmented reality, Human–computer interaction, Swarm behaviour and Task.
The concepts of his Cloud computing study are interwoven with issues in Computer security, Enhanced Data Rates for GSM Evolution and Adaptation.
His Contract Net Protocol study in the realm of Multi-agent system interacts with subjects such as English auction.
Paulo Leitão interconnects Load scheduling and Smart grid in the investigation of issues within Distributed computing.
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