Faculty

Institution

Unit

Venue

Jami Shah

Honda Professor of Engineering Design

Ohio State University

Affiliations

College of Engineering

Integrated Systems Engineering

Mechanical and Aerospace Engineering

Jami Shah is currently serving as a College Of Engineering Honda Professor of Engineering Design at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jami Shah

Ohio State University

Honda Professor of Engineering Design

You can click a keyword to filter the displayed items

engineering mechanical engineering design systems engineering manufacturing computer-aided design pattern recognition manufacturing technology computer-aided engineering engineering design information science material machining computer vision problem formulation modeling and simulation computational engineering design optimization design automation mechanics scientific computing manufacturing engineering geometric tolerances design skills applied tests computer-integrated manufacturing machine vision engineering optimization feature modeling structural design tolerance analysis empirical studies advanced manufacturing technologies engineering science databases shape modeling conceptual design computer-aided manufacturing feature detection process planning comparative study mechanical assemblies statistical tolerance analysis additive manufacturing manufacturing science numerical simulations precision engineering collaborative design object recognition advanced manufacturing feature (computer vision) design evaluation topology optimization form features reliability engineering structural optimization performance metrics geometry processing feature selection feature engineering feature transformation dimensioning and tolerancing object orientation engineering data management automated inspection information theory test development interactive decision making idea generation methods automatic recognition cad models tolerance analysis methods idea generation choice models multi-view geometry experiment design technology assessment artificial intelligence design theory technology computational thinking software engineering education data science

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Approach for Integrating Analytical and Experiential Knowledge for Structural Design. Computer-Aided Design and Applications (2024)

Satchit RamnathKonrad WitekJami ShahDuane Detwiler

computer-aided designstructural designdesignknowledge integrationdata integrationexperiential knowledgeengineering

Structural Design vs Manufacturability Costs of Complex Stamped Components. (2024)

Ibraheem AlawadhiSatchit RamnathAbhishek BolarYilin FuJami J. ShahNathan ZurbruggDuane Detwiler

structural engineeringdesignstructural designmechanical engineeringmanufacturing technologymanufacturingengineering

Generating Large Datasets of Simplified Automotive Body-In-White Structures to Predict Springback Using Machine Learning. (2023)

Abhishek Lokesh BolarIbraheem AlawadhiSatchit RamnathPrakash KumarYannis KorkolisJoseph K. DavidsonJami J. Shah

materials scienceautomotive engineeringmechanical engineeringmachine learningengineering

CARHOODS10K: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Transactions on Evolutionary Computation (2022)

Patricia WollstadtMariusz BujnySatchit RamnathJami J. ShahDuane DetwilerStefan Menzel

design optimizationevolutionary computationindustry-grade data setengineering applicationsdata sciencerepresentation learningcomputer scienceengineering

Curating Datasets of Flexible Assemblies to Predict Spring-Back Behavior for Machine Learning Purposes. (2022)

Alex AdrianSatchit RamnathSai Chandu SunkaraYannis KorkolisJoseph K. DavidsonJami J. Shah

mechanical engineeringspring-back behaviordata scienceflexible assembliesmachine learning

Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization. (2022)

Satchit RamnathJami J. ShahDuane Detwiler

mechanical engineeringmanufacturability algorithmstopology optimizationmanufacturingengineering

Design Science Meets Data Science: Curating Large Design Datasets for Engineered Artifacts. (2021)

Satchit RamnathPayam HaghighiJiachen MaJami ShahDuane Detwiler

design sciencedata curationlarge design datasetsbuilt environmentdata science

Intelligent Design Prediction Aided by Non-Uniform Parametric Study and Machine Learning in Feature Based Product Development. (2021)

Satchit RamnathJiachen MaJami J. ShahDuane Detwiler

mechanical engineeringproduct developmentmachine learningintelligent design predictionnon-uniform parametric study

Constructive Statistics and Virtual Capture Zones: A Novel Math Model for Cmm Metrology. Procedia CIRP (2020)

Nathan J. KalishJoseph K. DavidsonJami J. Shah

novel math modelvirtual capture zonesconstructive statisticsapplied mathematicscmm metrology

Interoperability of Cad Geometry and Product Manufacturing Information for Computer Integrated Manufacturing. International Journal of Computer Integrated Manufacturing (2020)

Satchit RamnathPayam HaghighiAdarsh VenkiteswaranJami J. Shah

product manufacturing informationsystems engineeringcad geometry

1
2
3
4
5
25
10 / page

Jami Shah

Honda Professor of Engineering Design

Ohio State University

Affiliations

College of Engineering

Integrated Systems Engineering

Mechanical and Aerospace Engineering

Jami Shah is currently serving as a College Of Engineering Honda Professor of Engineering Design at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jami Shah

Ohio State University

Honda Professor of Engineering Design

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Approach for Integrating Analytical and Experiential Knowledge for Structural Design. Computer-Aided Design and Applications (2024)

Satchit RamnathKonrad WitekJami ShahDuane Detwiler

computer-aided designstructural designdesignknowledge integrationdata integrationexperiential knowledgeengineering

Structural Design vs Manufacturability Costs of Complex Stamped Components. (2024)

Ibraheem AlawadhiSatchit RamnathAbhishek BolarYilin FuJami J. ShahNathan ZurbruggDuane Detwiler

structural engineeringdesignstructural designmechanical engineeringmanufacturing technologymanufacturingengineering

Generating Large Datasets of Simplified Automotive Body-In-White Structures to Predict Springback Using Machine Learning. (2023)

Abhishek Lokesh BolarIbraheem AlawadhiSatchit RamnathPrakash KumarYannis KorkolisJoseph K. DavidsonJami J. Shah

materials scienceautomotive engineeringmechanical engineeringmachine learningengineering

CARHOODS10K: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Transactions on Evolutionary Computation (2022)

Patricia WollstadtMariusz BujnySatchit RamnathJami J. ShahDuane DetwilerStefan Menzel

design optimizationevolutionary computationindustry-grade data setengineering applicationsdata sciencerepresentation learningcomputer scienceengineering

Curating Datasets of Flexible Assemblies to Predict Spring-Back Behavior for Machine Learning Purposes. (2022)

Alex AdrianSatchit RamnathSai Chandu SunkaraYannis KorkolisJoseph K. DavidsonJami J. Shah

mechanical engineeringspring-back behaviordata scienceflexible assembliesmachine learning

Generalization of Manufacturability Algorithms for Fabricated Assemblies Based on Topology Optimization. (2022)

Satchit RamnathJami J. ShahDuane Detwiler

mechanical engineeringmanufacturability algorithmstopology optimizationmanufacturingengineering

Design Science Meets Data Science: Curating Large Design Datasets for Engineered Artifacts. (2021)

Satchit RamnathPayam HaghighiJiachen MaJami ShahDuane Detwiler

design sciencedata curationlarge design datasetsbuilt environmentdata science

Intelligent Design Prediction Aided by Non-Uniform Parametric Study and Machine Learning in Feature Based Product Development. (2021)

Satchit RamnathJiachen MaJami J. ShahDuane Detwiler

mechanical engineeringproduct developmentmachine learningintelligent design predictionnon-uniform parametric study

Constructive Statistics and Virtual Capture Zones: A Novel Math Model for Cmm Metrology. Procedia CIRP (2020)

Nathan J. KalishJoseph K. DavidsonJami J. Shah

novel math modelvirtual capture zonesconstructive statisticsapplied mathematicscmm metrology

Interoperability of Cad Geometry and Product Manufacturing Information for Computer Integrated Manufacturing. International Journal of Computer Integrated Manufacturing (2020)

Satchit RamnathPayam HaghighiAdarsh VenkiteswaranJami J. Shah

product manufacturing informationsystems engineeringcad geometry

1
2
3
4
5
25
10 / page

Similar Faculty Members

Joshua D. Summers

Institution

Clemson University

engineering

design

Levent Burak Kara

Institution

Carnegie Mellon University

computational engineering

advanced manufacturing

Karim Abdel-Malek

Institution

University of Iowa

design

kinematics

Kenji Shimada

Institution

Carnegie Mellon University

rapid prototyping

advanced manufacturing

Adarsh Krishnamurthy

Institution

Iowa State University

design

industrial design

Joshua Summers

Institution

University of Texas at Dallas

design

knowledge management

Andrzej Strojwas

Institution

Carnegie Mellon University

design automation

digital manufacturing

Rahul Rai

Institution

Clemson University

manufacturing

industrial informatics

Yan Wang

Institution

Georgia Institute of Technology

engineering optimization

computer-aided engineering

James Yang

Institution

Texas Tech University

design

robotics automation

Similar Faculty Members

Joshua D. Summers

Institution

Clemson University

engineering

design

Levent Burak Kara

Institution

Carnegie Mellon University

computational engineering

advanced manufacturing

Karim Abdel-Malek

Institution

University of Iowa

design

kinematics

Kenji Shimada

Institution

Carnegie Mellon University

rapid prototyping

advanced manufacturing

Adarsh Krishnamurthy

Institution

Iowa State University

design

industrial design

Joshua Summers

Institution

University of Texas at Dallas

design

knowledge management

Andrzej Strojwas

Institution

Carnegie Mellon University

design automation

digital manufacturing

Rahul Rai

Institution

Clemson University

manufacturing

industrial informatics

Yan Wang

Institution

Georgia Institute of Technology

engineering optimization

computer-aided engineering

James Yang

Institution

Texas Tech University

design

robotics automation