36 citations · 112 across the 6 of their papers we have counts for
6 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…
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
Jay Lee, Hanqi Su, Dai-Yan Ji +1
Over the past ten years, the application of artificial intelligence (AI) and machine learning (ML) in engineering domains has gained significant popularity, showcasing their potent…
Rethinking industrial artificial intelligence: a unified foundation framework
Jay Lee, Hanqi Su
Recent advancements in industrial artificial intelligence (AI) are reshaping the industry by driving smarter manufacturing, predictive maintenance, and intelligent decision-making.…
Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review
Hanqi Su, Jay Lee
In the field of Prognostics and Health Management (PHM), recent years have witnessed a significant surge in the application of machine learning (ML). Despite this growth, the field…
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
Jay Lee, Hanqi Su
The recent emergence of large language models (LLMs) demonstrates the potential for artificial general intelligence, revealing new opportunities in Industry 4.0 and smart manufactu…
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
Hanqi Su, Binyang Song, Faez Ahmed
Accurate vehicle rating prediction can facilitate designing and configuring good vehicles. This prediction allows vehicle designers and manufacturers to optimize and improve their…