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Journal Articles

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

Ashish M. Chaudhari, Daniel Selva

J. Mech. Des. May 2023, 145(5): 051403.

Paper No: MD-22-1348

DOI: https://doi.org/10.1115/1.4056374

Published Online: January 10, 2023

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Topics: Design, Generative design

Journal Articles

A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

J. Comput. Inf. Sci. Eng. June 2023, 23(3): 031011.

Paper No: JCISE-22-1201

DOI: https://doi.org/10.1115/1.4055596

Published Online: December 12, 2022

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Topics: Modeling, Probability, Students, Testing, Design, Fatigue analysis, Uncertainty, Engineering education

Proceedings Papers

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

Ashish M. Chaudhari, Daniel Selva

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A020, August 14–17, 2022

Paper No: DETC2022-90477

DOI: https://doi.org/10.1115/DETC2022-90477

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Topics: Collaboration, Design, Generative design, Machinery, Metamaterials, Semantics, Stress

Proceedings Papers

Natural Language Processing for Content Analysis of Communication in Collaborative Design

Sachin H. Lokesh, Ashish M. Chaudhari, Joseph Thekinen, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A063, August 14–17, 2022

Paper No: DETC2022-90895

DOI: https://doi.org/10.1115/DETC2022-90895

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Topics: Design, Natural language processing, Teams, Engineering design, Intent recognition, Flow (Dynamics), Time series, Undergraduate students

Journal Articles

Co-Evolution of Communication and System Performance in Engineering Systems Design: A Stochastic Network-Behavior Dynamics Model

Ashish M. Chaudhari, Erica L. Gralla, Zoe Szajnfarber, Jitesh H. Panchal

J. Mech. Des. April 2022, 144(4): 041706.

Paper No: MD-21-1327

DOI: https://doi.org/10.1115/1.4053813

Published Online: March 1, 2022

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Topics: Design, Engineering disciplines, Dynamics (Mechanics), Teams, Space vehicles, Engine design

Proceedings Papers

Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach

Ashish M. Chaudhari, Roshan Suresh Kumar, Daniel Selva

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A058, August 17–19, 2021

Paper No: DETC2021-71257

DOI: https://doi.org/10.1115/DETC2021-71257

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Topics: Design, Performance, Complex systems, Metamaterials, Tradeoffs

Proceedings Papers

Co-Evolution of Communication and System Performance in Engineering Systems Design: A Stochastic Network-Behavior Dynamics Model

Ashish M. Chaudhari, Erica L. Gralla, Zoe Szajnfarber, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A048, August 17–19, 2021

Paper No: DETC2021-71277

DOI: https://doi.org/10.1115/DETC2021-71277

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Topics: Design, Dynamics (Mechanics), Engineering systems and industry applications

Proceedings Papers

A Mixed-Method Analysis of Schedule and Cost Growth in Defense Acquisition Programs

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A043, August 17–19, 2021

Paper No: DETC2021-71517

DOI: https://doi.org/10.1115/DETC2021-71517

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Topics: Defense industry, Databases, Delays, Design, Governments, Modeling, Weapons

Proceedings Papers

Quantifying Individuals’ Theory-Based Knowledge Using Probabilistic Causal Graphs: A Bayesian Hierarchical Approach

Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2020, Volume 3: 17th International Conference on Design Education (DEC), V003T03A014, August 17–19, 2020

Paper No: DETC2020-22613

DOI: https://doi.org/10.1115/DETC2020-22613

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Topics: Decision making, Design, Engineering students, Probability, Scalars, Students

Journal Articles

Designing Representative Model Worlds to Study Socio-Technical Phenomena: A Case Study of Communication Patterns in Engineering Systems Design

Ashish M. Chaudhari, Erica L. Gralla, Zoe Szajnfarber, Paul T. Grogan, Jitesh H. Panchal

J. Mech. Des. December 2020, 142(12): 121403.

Paper No: MD-20-1135

DOI: https://doi.org/10.1115/1.4048295

Published Online: September 25, 2020

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Topics: Design, Engineering disciplines

Journal Articles

Descriptive Models of Sequential Decisions in Engineering Design: An Experimental Study

Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

J. Mech. Des. August 2020, 142(8): 081704.

Paper No: MD-19-1095

DOI: https://doi.org/10.1115/1.4045605

Published Online: February 14, 2020

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Topics: Design, Engineering design

Proceedings Papers

Similarity in Engineering Design: A Knowledge-Based Approach

Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2019, Volume 7: 31st International Conference on Design Theory and Methodology, V007T06A045, August 18–21, 2019

Paper No: DETC2019-98272

DOI: https://doi.org/10.1115/DETC2019-98272

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Topics: Design, Engineering design, Modeling, Design engineering, Education, Experimental design, Fatigue, Students

Journal Articles

Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach

Zhenghui Sha, Ashish M. Chaudhari, Jitesh H. Panchal

J. Comput. Inf. Sci. Eng. September 2019, 19(3): 031010.

Paper No: JCISE-18-1246

DOI: https://doi.org/10.1115/1.4042639

Published Online: March 21, 2019

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Topics: Design, Modeling

Proceedings Papers

Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach

Zhenghui Sha, Ashish M. Chaudhari, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2018, Volume 1A: 38th Computers and Information in Engineering Conference, V01AT02A031, August 26–29, 2018

Paper No: DETC2018-85686

DOI: https://doi.org/10.1115/DETC2018-85686

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Topics: Design, Modeling, Product design

Proceedings Papers

How Do Designers Choose Among Multiple Noisy Information Sources in Engineering Design Optimization? An Experimental Study

Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal

Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A021, August 26–29, 2018

Paper No: DETC2018-85460

DOI: https://doi.org/10.1115/DETC2018-85460

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Topics: Engineering design, Optimization, Uncertainty, Design, Decision making, Model development, Performance evaluation

Journal Articles

Analyzing Participant Behaviors in Design Crowdsourcing Contests Using Causal Inference on Field Data

Ashish M. Chaudhari, Zhenghui Sha, Jitesh H. Panchal

J. Mech. Des. September 2018, 140(9): 091401.

Paper No: MD-17-1452

DOI: https://doi.org/10.1115/1.4040166

Published Online: June 8, 2018

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Topics: Design, Performance, Uncertainty, Probability, Testing, Engineering design

Journal citation

NARROW

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge

Evaluating Designer Learning and Performance in Interactive Deep Generative Design

Natural Language Processing for Content Analysis of Communication in Collaborative Design

Co-Evolution of Communication and System Performance in Engineering Systems Design: A Stochastic Network-Behavior Dynamics Model

Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach

Co-Evolution of Communication and System Performance in Engineering Systems Design: A Stochastic Network-Behavior Dynamics Model

A Mixed-Method Analysis of Schedule and Cost Growth in Defense Acquisition Programs

Quantifying Individuals’ Theory-Based Knowledge Using Probabilistic Causal Graphs: A Bayesian Hierarchical Approach

Designing Representative Model Worlds to Study Socio-Technical Phenomena: A Case Study of Communication Patterns in Engineering Systems Design

Descriptive Models of Sequential Decisions in Engineering Design: An Experimental Study

Similarity in Engineering Design: A Knowledge-Based Approach

Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach

Modeling Participation Behaviors in Design Crowdsourcing Using a Bipartite Network-Based Approach

How Do Designers Choose Among Multiple Noisy Information Sources in Engineering Design Optimization? An Experimental Study

Analyzing Participant Behaviors in Design Crowdsourcing Contests Using Causal Inference on Field Data

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