Artificial Intelligence for Manufacturing Quality Modeling

Manufacturing Line

Overall Information

This project uses artificial intelligence and machine learning methods to develop algorithms for anomaly detection and quality prediciton in the manufacturing systems considering the heterogeneous data types in manufacturing systems (e.g., images, signals).

Hao Yan
Hao Yan
Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering

My research interests include Data Science for Complex Systems.