What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Statistics
His scientific interests lie mostly in Engineering design process, Systems engineering, Decision support system, Mathematical optimization and Computer Aided Design.
He has included themes like Complex system, Artificial intelligence, Game theory, Systems design and Operations research in his Engineering design process study.
His biological study spans a wide range of topics, including Concurrent engineering, Probabilistic design, Conceptual design and Realization.
His research integrates issues of Taguchi methods, Multi-objective optimization, Reliability engineering and Constraint programming in his study of Decision support system.
His work on Optimization problem as part of general Mathematical optimization study is frequently connected to Gaussian, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Computer Aided Design study combines topics in areas such as Simulation, Design process, Finite element method and Component.
His most cited work include:
- Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization (802 citations)
- A procedure for robust design: Minimizing variations caused by noise factors and control factors (486 citations)
- Product platform design: method and application (454 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Decision support system, Systems engineering, Engineering design process, Mathematical optimization and Process.
His studies deal with areas such as Reliability engineering, Manufacturing engineering and Computer Aided Design as well as Decision support system.
His Systems engineering research incorporates themes from Product design, Product, Conceptual design and Concurrent engineering.
Farrokh Mistree has researched Product design in several fields, including Design technology and Industrial engineering.
His Engineering design process research includes elements of Systems design and Design process.
Mathematical optimization is closely attributed to Robustness in his work.
He most often published in these fields:
- Decision support system (22.40%)
- Systems engineering (21.72%)
- Engineering design process (16.06%)
What were the highlights of his more recent work (between 2016-2021)?
- Decision support system (22.40%)
- Manufacturing engineering (8.60%)
- Process (10.41%)
In recent papers he was focusing on the following fields of study:
Farrokh Mistree mainly investigates Decision support system, Manufacturing engineering, Process, Workflow and Inverse.
His Decision support system research is multidisciplinary, incorporating perspectives in Systems design, Systems engineering, Reliability engineering and Realization.
His study in Manufacturing engineering is interdisciplinary in nature, drawing from both Industry 4.0 and Integrated computational materials engineering.
His Process study frequently links to related topics such as Engineering design process.
His studies in Engineering design process integrate themes in fields like Surrogate model and Kriging.
His research in Inverse tackles topics such as Design methods which are related to areas like Industrial engineering.
Between 2016 and 2021, his 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 his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Statistics
Farrokh Mistree mostly deals with Inverse, Workflow, Ontology, Manufacturing engineering and Process.
His Inverse research integrates issues from Chain, Composite material and Decision based design.
His Chain study integrates concerns from other disciplines, such as Mathematical optimization and Design methods.
His work deals with themes such as Automation, Industry 4.0 and Automotive industry, which intersect with Manufacturing engineering.
The study incorporates disciplines such as Frame, Set, Sequence, Realization and Fidelity in addition to Process.
His Engineering drawing research is multidisciplinary, incorporating elements of Mechanical engineering and Decision support system.
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