What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Software engineering
Ram D. Sriram focuses on Systems engineering, Design technology, Product lifecycle, Software engineering and Process management.
His work carried out in the field of Systems engineering brings together such families of science as Core product and Process.
His Computer-automated design study in the realm of Design technology interacts with subjects such as Design education.
His Product lifecycle research is multidisciplinary, incorporating perspectives in Product design, Product design specification and Product management.
The concepts of his Product design specification study are interwoven with issues in High-level design and Design process.
His research integrates issues of Service-oriented architecture and Web service in his study of Process management.
His most cited work include:
- A product information modeling framework for product lifecycle management (416 citations)
- The evolution, challenges, and future of knowledge representation in product design systems (380 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?
Ram D. Sriram spends much of his time researching Systems engineering, NIST, Ontology, Software engineering and Product lifecycle.
The various areas that Ram D. Sriram examines in his Systems engineering study include Information model, Core product, Product design, Process and Process management.
As part of the same scientific family, he usually focuses on Product design, concentrating on Design technology and intersecting with Design review.
In his work, Assembly modelling and Component is strongly intertwined with Unified Modeling Language, which is a subfield of NIST.
His research on Product lifecycle frequently connects to adjacent areas such as Knowledge management.
His Product design specification study deals with Product engineering intersecting with Product management.
He most often published in these fields:
- Systems engineering (20.95%)
- NIST (13.81%)
- Ontology (10.95%)
What were the highlights of his more recent work (between 2013-2021)?
- Ontology (10.95%)
- World Wide Web (5.71%)
- Artificial intelligence (8.57%)
In recent papers he was focusing on the following fields of study:
Ram D. Sriram mostly deals with Ontology, World Wide Web, Artificial intelligence, Summit and The Internet.
His Ontology research incorporates themes from Domain and Data science.
His World Wide Web research is multidisciplinary, incorporating elements of Library science and Network computing.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Natural language processing.
His The Internet study incorporates themes from Variety, Networked manufacturing and Interoperability.
His Interoperability study integrates concerns from other disciplines, such as Product engineering, Product management, Product, Application lifecycle management and Process management.
Between 2013 and 2021, his most popular works were:
- Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images (32 citations)
- Internet of Things Perspectives (16 citations)
- The Role of Standards in Product Lifecycle Management Support (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Software engineering
Ontology, Summit, World Wide Web, Semantic interoperability and Interoperability are his primary areas of study.
His Ontology research entails a greater understanding of Information retrieval.
His World Wide Web research incorporates themes from Semantics, Human agent and Internet privacy.
His Semantic interoperability research is multidisciplinary, relying on both Product lifecycle, Product, Product design specification, Product engineering and Process management.
He interconnects Application lifecycle management, Product management and Network computing in the investigation of issues within Interoperability.
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