What is she best known for?
The fields of study she is best known for:
- Mechanical engineering
- Artificial intelligence
- Statistics
Janet K. Allen mainly investigates Engineering design process, Computer Aided Design, Decision support system, Systems engineering and Complex system.
The concepts of her Engineering design process study are interwoven with issues in Design of experiments, Mathematical optimization, Robustness, Artificial intelligence and Systems design.
Her Artificial intelligence research is multidisciplinary, relying on both Multi-objective optimization, Machine learning, Kriging and Field.
Her Computer Aided Design study combines topics in areas such as Taguchi methods, Design process and Material selection.
Her Decision support system study combines topics from a wide range of disciplines, such as Product design specification, Reliability engineering, Product management and Product engineering.
Her Systems engineering study incorporates themes from Digital signal processing, Integrated design and Flexibility.
Her most cited work include:
- Metamodels for Computer-based Engineering Design: Survey and recommendations (1405 citations)
- A procedure for robust design: Minimizing variations caused by noise factors and control factors (486 citations)
- Building Surrogate Models Based on Detailed and Approximate Simulations (199 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Decision support system, Systems engineering, Engineering design process, Mathematical optimization and Process.
Her research in Decision support system intersects with topics in Concurrent engineering, Manufacturing engineering and Quality.
Her study in Systems engineering is interdisciplinary in nature, drawing from both Product design, Product engineering, Integrated design and Design for manufacturability.
Her work carried out in the field of Engineering design process brings together such families of science as Computer Aided Design, Industrial engineering, Metamodeling, Systems design and Design process.
Her Mathematical optimization research focuses on subjects like Robustness, which are linked to Control engineering.
Janet K. Allen has researched Process in several fields, including Complex system and Reliability engineering.
She most often published in these fields:
- Decision support system (20.86%)
- Systems engineering (17.22%)
- Engineering design process (16.56%)
What were the highlights of her more recent work (between 2016-2021)?
- Decision support system (20.86%)
- Process (10.60%)
- Workflow (3.31%)
In recent papers she was focusing on the following fields of study:
Janet K. Allen spends much of her time researching Decision support system, Process, Workflow, Manufacturing engineering and Inverse.
Her Decision support system research is multidisciplinary, incorporating elements of Reliability engineering, Cantilever, Structural engineering, Systems design and Realization.
Her Process research is multidisciplinary, incorporating perspectives in Sequence, Fidelity, Material flow and Engineering design process.
Her work deals with themes such as Parameter learning, Linear programming algorithm, Linear programming, Kriging and Surrogate model, which intersect with Engineering design process.
Her research on Inverse also deals with topics like
- Mathematical optimization most often made with reference to Chain,
- Design methods, which have a strong connection to Industrial engineering, Product design and Finite element method.
Her research investigates the connection with Integrated design and areas like Systems engineering which intersect with concerns in Current and Field.
Between 2016 and 2021, her most popular works were:
- Managing computational complexity using surrogate models: a critical review (24 citations)
- A Goal-Oriented, Sequential, Inverse Design Method for the Horizontal Integration of a Multistage Hot Rod Rolling System (24 citations)
- Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets (19 citations)
In her most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Statistics
Janet K. Allen mostly deals with Inverse, Workflow, Ontology, Manufacturing engineering and Process.
As a part of the same scientific family, Janet K. Allen mostly works in the field of Inverse, focusing on Chain and, on occasion, Design methods and Mathematical optimization.
Her studies deal with areas such as Industry 4.0, User requirements document and Automotive industry as well as Manufacturing engineering.
Her Process research incorporates themes from Frame, Set, Sequence, Realization and Fidelity.
Her research investigates the connection between Mass collaboration and topics such as Integrated design that intersect with issues in Industrial engineering.
Her study connects Decision support system and Mechanical engineering.
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