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Journal Articles

Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations

Binyang Song, Scarlett Miller, Faez Ahmed

J. Mech. Des. April 2023, 145(4): 041410.

Paper No: MD-22-1499

DOI: https://doi.org/10.1115/1.4056669

Published Online: February 3, 2023

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Topics: Conceptual design, Design, Creativity

Proceedings Papers

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Lyle Regenwetter, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A046, August 14–17, 2022

Paper No: DETC2022-91344

DOI: https://doi.org/10.1115/DETC2022-91344

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Topics: Design, Algorithms, Bicycles, Machine learning

Proceedings Papers

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Noah J. Bagazinski, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A036, August 14–17, 2022

Paper No: DETC2022-89797

DOI: https://doi.org/10.1115/DETC2022-89797

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Topics: Optimization, Ships, Design, Packing (Shipments), Packings (Cushioning), Algorithms, Architects, Hull, Shapes, Stability

Proceedings Papers

Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions

Binyang Song, Scarlett Miller, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A017, August 14–17, 2022

Paper No: DETC2022-91269

DOI: https://doi.org/10.1115/DETC2022-91269

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Topics: Design, Creativity, Computational methods, Engineering design, Innovation, Joining, Machine learning

Proceedings Papers

Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models

Yinshuang Xiao, Faez Ahmed, Zhenghui Sha

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A079, August 14–17, 2022

Paper No: DETC2022-90694

DOI: https://doi.org/10.1115/DETC2022-90694

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Topics: Artificial neural networks, Mechanical admittance, Neural network models

Proceedings Papers

LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A013, August 14–17, 2022

Paper No: DETC2022-89798

DOI: https://doi.org/10.1115/DETC2022-89798

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Topics: Design, Kinematics, Linkages, Simulation, Databases, Algorithms, Degrees of freedom, Screw threads, Shapes, Thread

Journal Articles

Product Competition Prediction in Engineering Design Using Graph Neural Networks

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

ASME Open J. Engineering. January 2022, 1: 011020.

Paper No: AOJE-21-1034

DOI: https://doi.org/10.1115/1.4054299

Published Online: May 9, 2022

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Topics: Artificial neural networks, Automobiles, Design, Engineering design, Modeling, Machine learning, Trains, Construction

Journal Articles

Deep Generative Models in Engineering Design: A Review

Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed

J. Mech. Des. July 2022, 144(7): 071704.

Paper No: MD-21-1642

DOI: https://doi.org/10.1115/1.4053859

Published Online: March 18, 2022

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Topics: Design, Topology, Optimization, Shapes, Engineering design

Journal Articles

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Kristen M. Edwards, Aoran Peng, Scarlett R. Miller, Faez Ahmed

J. Mech. Des. April 2022, 144(4): 041402.

Paper No: MD-21-1354

DOI: https://doi.org/10.1115/1.4053130

Published Online: December 17, 2021

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Topics: Design, Creativity

Proceedings Papers

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

Amin Heyrani Nobari, Wei Chen, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A039, August 17–19, 2021

Paper No: DETC2021-69963

DOI: https://doi.org/10.1115/DETC2021-69963

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Topics: Design, Shapes, Engineering design, Errors

Proceedings Papers

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Kristen M. Edwards, Aoran Peng, Scarlett R. Miller, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A011, August 17–19, 2021

Paper No: DETC2021-70158

DOI: https://doi.org/10.1115/DETC2021-70158

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Topics: Design, Machine learning, Natural language processing, Nonlinear programming, Creativity, Innovation, Semantics

Proceedings Papers

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Lyle Regenwetter, Brent Curry, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A019, August 17–19, 2021

Paper No: DETC2021-71681

DOI: https://doi.org/10.1115/DETC2021-71681

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Topics: Bicycles, Data-driven design, Design, Machine learning, Design methodology, Manufacturing

Proceedings Papers

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A002, August 17–19, 2021

Paper No: DETC2021-68103

DOI: https://doi.org/10.1115/DETC2021-68103

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Topics: Creativity, Design, Bicycles, Innovation, Artificial neural networks, Design automation, Design methodology, Engineering disciplines, Image segmentation, Machine learning

Proceedings Papers

A Graph Neural Network Approach for Product Relationship Prediction

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A036, August 17–19, 2021

Paper No: DETC2021-69462

DOI: https://doi.org/10.1115/DETC2021-69462

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Topics: Artificial neural networks, Artificial intelligence, Automobiles, Design, Drugs, Engineering systems and industry applications, Machine learning, Modeling, Network analysis, Optimization

Proceedings Papers

Wei Chen, Faez Ahmed

J. Mech. Des. March 2021, 143(3): 031703.

Paper No: MD-20-1313

DOI: https://doi.org/10.1115/1.4048626

Published Online: November 10, 2020

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Topics: Design, Airfoils

Journal citation

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Supplemental Material

Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions

Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models

LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Product Competition Prediction in Engineering Design Using Graph Neural Networks

Deep Generative Models in Engineering Design: A Review

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

A Graph Neural Network Approach for Product Relationship Prediction

Design Form and Function Prediction From a Single Image

BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks

Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

How Should We Measure Creativity in Engineering Design? A Comparison Between Social Science and Engineering Approaches

Design Variety Measurement Using Sharma–Mittal Entropy

PaDGAN: Learning to Generate High-Quality Novel Designs

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