What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
His scientific interests lie mostly in Computer Aided Design, Engineering design process, Solid modeling, Data mining and Computer-aided manufacturing.
His study in Computer Aided Design is interdisciplinary in nature, drawing from both Polygon mesh, Theoretical computer science, CAD, The Internet and Graphics.
He has researched Engineering design process in several fields, including New product development, Open research, Systems engineering, Ibis and Software.
The study incorporates disciplines such as Structure, Computational geometry, Representation and Engineering drawing in addition to Solid modeling.
His Data mining study combines topics in areas such as Machine learning, Feature, Artificial intelligence and Feature extraction.
His Computer-aided manufacturing research is multidisciplinary, relying on both Graph, Computer-integrated manufacturing, Feature recognition, Design for manufacturability and Component.
His most cited work include:
- Manufacturing feature recognition from solid models: a status report (227 citations)
- A Survey of Design Rationale Systems: Approaches, Representation, Capture and Retrieval (218 citations)
- The role of knowledge in next-generation product development systems (174 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Engineering design process, Artificial intelligence, Computer Aided Design and CAD.
The Distributed computing study which covers Computer network that intersects with Wireless ad hoc network, Wireless network and Vehicular ad hoc network.
His Engineering design process research integrates issues from Engineering education, Software engineering, Process and Systems engineering.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His research on Computer Aided Design also deals with topics like
- Feature recognition that intertwine with fields like Engineering drawing,
- Solid modeling which intersects with area such as Computer-integrated manufacturing.
His work focuses on many connections between Computer-aided manufacturing and other disciplines, such as Design for manufacturability, that overlap with his field of interest in Manufacturing engineering.
He most often published in these fields:
- Distributed computing (14.63%)
- Engineering design process (14.63%)
- Artificial intelligence (13.66%)
What were the highlights of his more recent work (between 2007-2021)?
- Distributed computing (14.63%)
- Multi-agent system (4.88%)
- Distributed algorithm (5.37%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Distributed computing, Multi-agent system, Distributed algorithm, Engineering education and Systems engineering.
The concepts of his Distributed computing study are interwoven with issues in Mobile ad hoc network, Computer network, Organizational structure and Domain.
His Distributed algorithm research is multidisciplinary, incorporating elements of Theoretical computer science and Mathematical optimization.
His studies deal with areas such as Multimedia, Digital preservation, System of systems engineering, Data science and Engineering design process as well as Engineering education.
His studies in Engineering design process integrate themes in fields like Crowdsourcing, Effective method and Data mining.
His Systems engineering research includes themes of Product design, Three-dimensional space and Management science.
Between 2007 and 2021, his most popular works were:
- Outsourcing labour to the cloud (40 citations)
- DCOPolis: a framework for simulating and deploying distributed constraint reasoning algorithms (34 citations)
- The new frontiers in computational modeling of material structures (33 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
His primary areas of investigation include Distributed computing, The Internet, Crowdsourcing, Multi-agent system and Theoretical computer science.
His Distributed computing research incorporates elements of Wireless and Information sharing.
His research in The Internet intersects with topics in Cloud computing, Geometric modeling, Data science and Identification.
William C. Regli interconnects Quality, Language translation, Data mining, Workflow and Nesting in the investigation of issues within Crowdsourcing.
His Multi-agent system study also includes
- Resource allocation together with Computer security, Risk analysis, Task and Distributed constraint optimization,
- Software agent and related Software architecture, Reference model, Simulation, Belief–desire–intention software model and Software.
William C. Regli works mostly in the field of Theoretical computer science, limiting it down to topics relating to Distributed algorithm and, in certain cases, Organizational structure, Compartmentalization and Process, as a part of the same area of interest.
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