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Proc. ASME. IDETC-CIE2019, Volume 3: 21st International Conference on Advanced Vehicle Technologies; 16th International Conference on Design Education, V003T04A020, August 18–21, 2019

Paper No: DETC2019-98280

DOI: https://doi.org/10.1115/DETC2019-98280

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Topics: Design, Students, Engineering disciplines, Engineering education

Journal Articles

Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction

Dipanjan Ghosh, Andrew Olewnik, Kemper Lewis

J. Comput. Inf. Sci. Eng. March 2018, 18(1): 011004.

Paper No: JCISE-16-2118

DOI: https://doi.org/10.1115/1.4037435

Published Online: November 28, 2017

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Topics: Algorithms, Artificial neural networks, Design, Machine learning, Sensors, Support vector machines, Product design, Feature extraction, Signals, Accelerometers

Proceedings Papers

An Integrated Framework for Predicting Consumer Choice Through Modeling of Preference and Product Use Data

Dipanjan D. Ghosh, Andrew Olewnik, Kemper E. Lewis

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A015, August 6–9, 2017

Paper No: DETC2017-68010

DOI: https://doi.org/10.1115/DETC2017-68010

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Topics: Modeling, Preferences, Design, Sensors, Product design

Journal Articles

Cyber-Empathic Design: A Data-Driven Framework for Product Design

Dipanjan Ghosh, Andrew Olewnik, Kemper Lewis, Junghan Kim, Arun Lakshmanan

J. Mech. Des. September 2017, 139(9): 091401.

Paper No: MD-16-1658

DOI: https://doi.org/10.1115/1.4036780

Published Online: July 12, 2017

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Topics: Design, Sensors, Product design

Proceedings Papers

Product “In-Use” Context Identification Using Feature Learning Methods

Dipanjan D. Ghosh, Andrew Olewnik, Kemper Lewis

Proc. ASME. IDETC-CIE2016, Volume 1B: 36th Computers and Information in Engineering Conference, V01BT02A020, August 21–24, 2016

Paper No: DETC2016-59645

DOI: https://doi.org/10.1115/DETC2016-59645

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Topics: Accelerometers, Algorithms, Artificial neural networks, Dimensions, Fatigue, Internet of things, Machine learning, Mining, Product design, Support vector machines

Proceedings Papers

Cyber-Empathic Design: A Data Driven Framework for Product Design

Dipanjan D. Ghosh, Junghan Kim, Andrew Olewnik, Arun Lakshmanan, Kemper E. Lewis

Proc. ASME. IDETC-CIE2016, Volume 2A: 42nd Design Automation Conference, V02AT03A012, August 21–24, 2016

Paper No: DETC2016-59642

DOI: https://doi.org/10.1115/DETC2016-59642

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Topics: Design, Product design, Sensors, Decision making, Modeling, Parameter estimation, Testing

Proceedings Papers

Development of a Part-Focused Manufacturing Process Ontology: Exploring Use and Applications

Lucas Mesmer, Andrew Olewnik

Proc. ASME. IDETC-CIE2015, Volume 1B: 35th Computers and Information in Engineering Conference, V01BT02A034, August 2–5, 2015

Paper No: DETC2015-47591

DOI: https://doi.org/10.1115/DETC2015-47591

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Topics: Manufacturing, Ontologies

Proceedings Papers

A Pilot Study of Customer Requirement Derivation Methods Among Engineering Students

Julian Steffen Renz, Andrew Olewnik

Proc. ASME. IDETC-CIE2015, Volume 7: 27th International Conference on Design Theory and Methodology, V007T06A038, August 2–5, 2015

Paper No: DETC2015-47584

DOI: https://doi.org/10.1115/DETC2015-47584

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Topics: Engineering students, Engineering education, Engineers, Modeling

Proceedings Papers

Towards a Formalization of Affordance Modeling in the Early Stages of Design

Phillip Cormier, Andrew Olewnik, Kemper Lewis

Proc. ASME. IDETC-CIE2013, Volume 5: 25th International Conference on Design Theory and Methodology; ASME 2013 Power Transmission and Gearing Conference, V005T06A003, August 4–7, 2013

Paper No: DETC2013-13170

DOI: https://doi.org/10.1115/DETC2013-13170

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Topics: Design, Modeling

Proceedings Papers

The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design

Kemper Lewis, Deborah Moore-Russo, Phil Cormier, Andrew Olewnik, Gül Kremer, Conrad Tucker, Tim Simpson, Omar Ashour

Proc. ASME. IDETC-CIE2013, Volume 1: 15th International Conference on Advanced Vehicle Technologies; 10th International Conference on Design Education; 7th International Conference on Micro- and Nanosystems, V001T04A024, August 4–7, 2013

Paper No: DETC2013-13165

DOI: https://doi.org/10.1115/DETC2013-13165

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Topics: Bridges (Structures), Competencies, Concretes, Education, Engineering design, Engineering students, Performance, Sustainability, Undergraduate students

Proceedings Papers

Design Analytics: Capturing, Understanding, and Meeting Customer Needs Using Big Data

David Van Horn, Andrew Olewnik, Kemper Lewis

Proc. ASME. IDETC-CIE2012, Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology, 863-875, August 12–15, 2012

Paper No: DETC2012-71038

DOI: https://doi.org/10.1115/DETC2012-71038

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Topics: Design, Engineering design processes, Engineers, Failure, Generators, Internet

Proceedings Papers

Computationally Efficient Imprecise Uncertainty Propagation in Engineering Design and Decision Making

Dipanjan D. Ghosh, Andrew Olewnik

Proc. ASME. IDETC-CIE2012, Volume 3: 38th Design Automation Conference, Parts A and B, 1153-1165, August 12–15, 2012

Paper No: DETC2012-70419

DOI: https://doi.org/10.1115/DETC2012-70419

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Topics: Decision making, Engineering design, Uncertainty, Design, Errors, Risk, Gears, Modeling, Robustness, Space

Proceedings Papers

A Pilot Study of Engineering Design-Decision Methods in Practice

Aaron Nichols, Andrew Olewnik

Proc. ASME. IDETC-CIE2012, Volume 7: 9th International Conference on Design Education; 24th International Conference on Design Theory and Methodology, 603-614, August 12–15, 2012

Paper No: DETC2012-70407

DOI: https://doi.org/10.1115/DETC2012-70407

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Topics: Design, Engineering design, Engineers, Formal methods, Potential barrier, Students, Undergraduate students

Journal Articles

Computationally Efficient Imprecise Uncertainty Propagation

Dipanjan D. Ghosh, Andrew Olewnik

J. Mech. Des. May 2013, 135(5): 051002.

Paper No: MD-12-1027

DOI: https://doi.org/10.1115/1.4023921

Published Online: April 23, 2013

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Topics: Dimensions, Uncertainty, Design, Thermocouples

Proceedings Papers

Exploring Marketing to Engineering Information Mapping in Mass Customization: A Presentation of Ideas, Challenges and Resulting Questions

Scott Ferguson, Andrew Olewnik, Phil Cormier

Proc. ASME. IDETC-CIE2011, Volume 5: 37th Design Automation Conference, Parts A and B, 609-623, August 28–31, 2011

Paper No: DETC2011-48742

DOI: https://doi.org/10.1115/DETC2011-48742

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Topics: Bridges (Structures), Engineering design, Preferences, Product design, Students, Tradeoffs

Proceedings Papers

Using the Nintendo Wii Remote in an Engineering Context: Presentation of a Specific Implementation and Applications

Christopher Back, Andrew Olewnik, Richard Redding

Proc. ASME. IDETC-CIE2010, Volume 3: 30th Computers and Information in Engineering Conference, Parts A and B, 1365-1372, August 15–18, 2010

Paper No: DETC2010-28695

DOI: https://doi.org/10.1115/DETC2010-28695

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Topics: Computer programming, Computer software, Computers, Design, Design engineering, Education, Engineering design, Engineering simulation, Hardware, Innovation

Proceedings Papers

Mass Customization: A Review of the Paradigm Across Marketing, Engineering and Distribution Domains

Scott Ferguson, Andrew Olewnik, Priyesh Malegaonkar, Phil Cormier, Saket Kansara

Proc. ASME. IDETC-CIE2010, Volume 1: 36th Design Automation Conference, Parts A and B, 133-150, August 15–18, 2010

Paper No: DETC2010-28753

DOI: https://doi.org/10.1115/DETC2010-28753

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Topics: Design, Engineering design, Manufacturing, Preferences, Product development, Tradeoffs

Proceedings Papers

An Approach to Quantifying Design Flexibility for Mass Customization in Early Design Stages

Phil Cormier, Andrew Olewnik, Kemper Lewis

Proc. ASME. IDETC-CIE2008, Volume 4: 20th International Conference on Design Theory and Methodology; Second International Conference on Micro- and Nanosystems, 203-216, August 3–6, 2008

Paper No: DETC2008-49343

DOI: https://doi.org/10.1115/DETC2008-49343

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Topics: Design, Preferences

Journal citation

NARROW

A Framework for Flexible Systems and its Implementation in Multiattribute Decision Making

Dichotomy of Design Experience: A Case Study of One Student’s Experience With Problem Typology and His Perceptions of Design

Thinking About Design Thinking: Toward Capturing Students’ Metacognition in Solving Design Problems

Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction

An Integrated Framework for Predicting Consumer Choice Through Modeling of Preference and Product Use Data

Cyber-Empathic Design: A Data-Driven Framework for Product Design

Product “In-Use” Context Identification Using Feature Learning Methods

Cyber-Empathic Design: A Data Driven Framework for Product Design

Development of a Part-Focused Manufacturing Process Ontology: Exploring Use and Applications

A Pilot Study of Customer Requirement Derivation Methods Among Engineering Students

Towards a Formalization of Affordance Modeling in the Early Stages of Design

The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design

Design Analytics: Capturing, Understanding, and Meeting Customer Needs Using Big Data

Computationally Efficient Imprecise Uncertainty Propagation in Engineering Design and Decision Making

A Pilot Study of Engineering Design-Decision Methods in Practice

Computationally Efficient Imprecise Uncertainty Propagation

Exploring Marketing to Engineering Information Mapping in Mass Customization: A Presentation of Ideas, Challenges and Resulting Questions

Using the Nintendo Wii Remote in an Engineering Context: Presentation of a Specific Implementation and Applications

Mass Customization: A Review of the Paradigm Across Marketing, Engineering and Distribution Domains

An Approach to Quantifying Design Flexibility for Mass Customization in Early Design Stages

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