What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Mechanical engineering
- Statistics
Jami J. Shah mainly investigates Engineering design process, Computer Aided Design, Engineering drawing, Artificial intelligence and Empirical research.
Her biological study spans a wide range of topics, including Conceptual design, Industrial engineering and Systems engineering.
Her work deals with themes such as Variety and Set, which intersect with Conceptual design.
Jami J. Shah has researched Computer Aided Design in several fields, including Reliability engineering, Graph and Geometric modeling.
Her Engineering drawing research incorporates elements of Design for manufacturability and Geometric design.
Jami J. Shah interconnects Novelty and Engineering ethics in the investigation of issues within Empirical research.
Her most cited work include:
- Metrics for measuring ideation effectiveness (663 citations)
- Parametric and Feature-Based CAD/CAM: Concepts, Techniques, and Applications (436 citations)
- Assessment of features technology (310 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Engineering drawing, Computer Aided Design, Engineering design process, Artificial intelligence and Algorithm.
Her Engineering drawing study frequently links to other fields, such as Machining.
Her Computer Aided Design research includes elements of Graph and CAD.
Her Engineering design process research includes themes of Conceptual design, Software engineering, Management science and Systems engineering.
Her Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition.
Her research integrates issues of Orientation, Line, Geometric dimensioning and tolerancing, Position and Software in her study of Algorithm.
She most often published in these fields:
- Engineering drawing (15.53%)
- Computer Aided Design (13.26%)
- Engineering design process (12.88%)
What were the highlights of her more recent work (between 2013-2021)?
- Engineering drawing (15.53%)
- Tolerance analysis (10.23%)
- Algorithm (12.50%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Engineering drawing, Tolerance analysis, Algorithm, Conceptual design and Engineering design process.
Her Engineering drawing study incorporates themes from Schema, Computer Aided Design, Process and Machining.
She has included themes like Probability distribution, Feature, Reliability engineering, CAD and Space in her Tolerance analysis study.
Her study in the field of Composite number also crosses realms of Geodetic datum.
Her studies deal with areas such as Knowledge management, Topology optimization, Testbed, Software engineering and Data science as well as Conceptual design.
Her Engineering design process research is multidisciplinary, incorporating perspectives in Management science, Component and Design thinking.
Between 2013 and 2021, her most popular works were:
- Empirical Studies of Designer Thinking: Past, Present, and Future (68 citations)
- Design of complex bone internal structure using topology optimization with perimeter control. (21 citations)
- Toward Automatic Tolerancing of Mechanical Assemblies: First-Order GD&T Schema Development and Tolerance Allocation (15 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Geometry
Her main research concerns Algorithm, Topology optimization, Manufacturing engineering, Machining and Artificial intelligence.
Her research in Algorithm intersects with topics in Datum reference and Integrated circuit.
Her Manufacturing engineering research integrates issues from Product and manufacturing information, Popularity, CAD and Interoperability.
Her Machining study integrates concerns from other disciplines, such as Schema, Manufacturing process, Mathematical model and Engineering drawing.
Her study explores the link between Mathematical model and topics such as Mechanical engineering that cross with problems in Parametric model, Process, Tolerance analysis and Bounding overwatch.
Jami J. Shah integrates several fields in her works, including Artificial intelligence and Outcome.
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