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Proceedings Papers

Towards Domain-Adaptive, Resolution-Free 3D Topology Optimization With Neural Implicit Fields

Amin Heyrani Nobari, Lyle Regenwetter, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A012, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142135
https://doi.org/10.1115/DETC2024-142135
View Paper titled, Towards Domain-Adaptive, Resolution-Free 3D Topology Optimization With Neural Implicit Fields
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Topics: Resolution (Optics), Topology optimization, Topology, Shapes, Engineering design, Generative artificial intelligence, Graphics processing units, Innovation, Optimization, Trains
Proceedings Papers

Cooling-Guided Diffusion Model for Battery Cell Arrangement

Nicholas Sung, Zheng Liu, Pingfeng Wang, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A009, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143373
https://doi.org/10.1115/DETC2024-143373
View Paper titled, Cooling-Guided Diffusion Model for Battery Cell Arrangement
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Topics: Batteries, Cooling, Diffusion (Physics), Generative artificial intelligence, Thermal management
Proceedings Papers

DesignQA: Benchmarking Multimodal Large Language Models on Questions Grounded in Engineering Documentation

Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A016, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-139024
https://doi.org/10.1115/DETC2024-139024
View Paper titled, DesignQA: Benchmarking Multimodal Large Language Models on Questions Grounded in Engineering Documentation
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Topics: Large language models, Design, Computer-aided design, Engineering design processes, Engineering drawings, Engineers, Student competitions
Proceedings Papers

Bridging Design Gaps: A Parametric Data Completion Approach With Graph-Guided Diffusion Models

Rui Zhou, Chenyang Yuan, Frank Permenter, Yanxia Zhang, Nikos Arechiga, Matt Klenk, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A008, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143359
https://doi.org/10.1115/DETC2024-143359
View Paper titled, Bridging Design Gaps: A Parametric Data Completion Approach With Graph-Guided Diffusion Models
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Topics: Design, Diffusion (Physics), Graph neural networks
Proceedings Papers

DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction

Mohamed Elrefaie, Faez Ahmed, Angela Dai
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A019, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143593
https://doi.org/10.1115/DETC2024-143593
View Paper titled, DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Graph-Based Drag Prediction
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Topics: Computational fluid dynamics, Design, Drag (Fluid dynamics), Aerodynamics, Automobiles, Automotive design, Convolutional neural networks, Deep learning, Engineering standards, Engineering systems and industry applications
Proceedings Papers

CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs

Leah Chong, Jude Rayan, Steven Dow, Ioanna Lykourentzou, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A060, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-146325
https://doi.org/10.1115/DETC2024-146325
View Paper titled, CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs
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Topics: Computer-aided design
Journal Articles

Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications

Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2025, 147(2): 021401.
Paper No: MD-23-1610
https://doi.org/10.1115/1.4065998
Published Online: August 28, 2024
View Article titled, Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications
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Topics: Design, Optimization
Journal Articles

Data-Driven Car Drag Prediction With Depth and Normal Renderings

Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051714.
Paper No: MD-23-1544
https://doi.org/10.1115/1.4065063
Published Online: March 28, 2024
View Article titled, Data-Driven Car Drag Prediction With Depth and Normal Renderings
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Topics: Computational fluid dynamics, Drag (Fluid dynamics), Shapes, Simulation, Design
Journal Articles

MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations

Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051712.
Paper No: MD-23-1477
https://doi.org/10.1115/1.4064673
Published Online: March 18, 2024
View Article titled, MeshPointNet: 3D Surface Classification Using Graph Neural Networks and Conformal Predictions on Mesh-Based Representations
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Topics: Aircraft, Computational fluid dynamics, Computer-aided design, Deep learning, Image segmentation, Simulation, Artificial neural networks, Design
Journal Articles

Untrained and Unmatched: Fast and Accurate Zero-Training Classification for Tabular Engineering Data

Cyril Picard, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2024, 146(9): 091705.
Paper No: MD-23-1678
https://doi.org/10.1115/1.4064811
Published Online: March 5, 2024
View Article titled, Untrained and Unmatched: Fast and Accurate Zero-Training Classification for Tabular Engineering Data
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Topics: Design, Engineering design, Machine learning, Trains, Algorithms, Tradeoffs, Solar energy, Optimization, Uncertainty
Journal Articles

ADVISE: Accelerating the Creation of Evidence Syntheses for Global Development Using Natural Language Processing-Supported Human-Artificial Intelligence Collaboration

Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051404.
Paper No: MD-23-1510
https://doi.org/10.1115/1.4064245
Published Online: February 5, 2024
View Article titled, ADVISE: Accelerating the Creation of Evidence Syntheses for Global Development Using Natural Language Processing-Supported Human-Artificial Intelligence Collaboration
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Topics: Design, Engineering standards, Teams, Natural language processing
Journal Articles

Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions

Binyang Song, Rui Zhou, Faez Ahmed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Review Articles
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 010801.
Paper No: JCISE-23-1068
https://doi.org/10.1115/1.4063954
Published Online: November 24, 2023
View Article titled, Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions
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Topics: Design, Engineering design, Machine learning, Shapes, Semantics
Proceedings Papers

AutoSurf: Automated Expert-Guided Meshing With Graph Neural Networks and Conformal Predictions

Amin Heyrani Nobari, Justin Rey, Suhas Kodali, Matthew Jones, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A011, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115065
https://doi.org/10.1115/DETC2023-115065
View Paper titled, AutoSurf: Automated Expert-Guided Meshing With Graph Neural Networks and Conformal Predictions
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Topics: Artificial neural networks, Computational fluid dynamics, Image segmentation
Proceedings Papers

Diffusing the Optimal Topology: A Generative Optimization Approach

Giorgio Giannone, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A012, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116595
https://doi.org/10.1115/DETC2023-116595
View Paper titled, Diffusing the Optimal Topology: A Generative Optimization Approach
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Topics: Optimization, Topology, Diffusion (Physics), Approximation, Design, Engineering design, Engineering systems and industry applications, Errors, Topology optimization
Proceedings Papers

Surrogate Modeling of Car Drag Coefficient With Depth and Normal Renderings

Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A029, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117400
https://doi.org/10.1115/DETC2023-117400
View Paper titled, Surrogate Modeling of Car Drag Coefficient With Depth and Normal Renderings
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Topics: Design, Drag (Fluid dynamics), Metamodeling
Proceedings Papers

Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning

Noah J. Bagazinski, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A028, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117003
https://doi.org/10.1115/DETC2023-117003
View Paper titled, Ship-D: Ship Hull Dataset for Design Optimization Using Machine Learning
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Topics: Design, Hull, Machine learning, Optimization, Ships, Naval architecture, Drag (Fluid dynamics), Cycles, Computational methods, Computer-aided design
Proceedings Papers

Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Cyril Picard, Jürg Schiffmann, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A015, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-111609
https://doi.org/10.1115/DETC2023-111609
View Paper titled, Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications
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Topics: Engineering design, Artificial intelligence, Compressors, Design, Sampling methods, Tradeoffs, Turbochargers
Proceedings Papers

Counterfactuals for Design: A Model-Agnostic Method for Design Recommendations

Lyle Regenwetter, Yazan Abu Obaideh, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A008, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117216
https://doi.org/10.1115/DETC2023-117216
View Paper titled, Counterfactuals for Design: A Model-Agnostic Method for Design Recommendations
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Topics: Design, Design automation, Weight (Mass), Bicycles, Collaboration, Optimization, Pareto optimization, Safety, Tradeoffs, Visualization
Proceedings Papers

Multi-Modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data

Hanqi Su, Binyang Song, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A089, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-115076
https://doi.org/10.1115/DETC2023-115076
View Paper titled, Multi-Modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
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Topics: Machine learning, Vehicles
Proceedings Papers

AI-Accelerated Design of Evidence Synthesis for Global Development

Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A026, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116962
https://doi.org/10.1115/DETC2023-116962
View Paper titled, AI-Accelerated Design of Evidence Synthesis for Global Development
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Topics: Design