Procter & Gamble Company, Modeling Multi-Stage Manufacturing Processes and Related Problems
Manufacturing LineOverall 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
Associate Professor in School of Computing and Augmented Intelligence
My research develops machine learning methods for high-dimensional, spatio-temporal, and sequential data, including reinforcement learning, generative models, anomaly detection, and causal and tensor-based learning.
