367 citations · 386 across the 7 of their papers we have counts for
13 papers
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
Jay Lee, Hanqi Su, Marco Macchi +50
The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
Lyle Regenwetter, Faez Ahmed
Deep Generative Machine Learning Models have been growing in popularity across the design community thanks to their ability to learn and mimic complex data distributions. While ear…
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
Engineering design tasks often require synthesizing new designs that meet desired performance requirements. The conventional design process, which requires iterative optimization a…
A Graph Neural Network Approach for Product Relationship Prediction
Faez Ahmed, Yaxin Cui, Yan Fu +1
Graph Neural Networks have revolutionized many machine learning tasks in recent years, ranging from drug discovery, recommendation systems, image classification, social network ana…
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed
Modern machine learning techniques, such as deep neural networks, are transforming many disciplines ranging from image recognition to language understanding, by uncovering patterns…
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
Amin Heyrani Nobari, Wei Chen, Faez Ahmed
Typical engineering design tasks require the effort to modify designs iteratively until they meet certain constraints, i.e., performance or attribute requirements. Past work has pr…