Industrial Data Analytics and Digital Manufacturing Lab
IDADM Lab is established and led by Dr. Juan Du to revolutionize the manufacturing industry by using data analytics, machine learning, and artificial intelligence for significant quality and productivity improvement, cost reduction, and energy conservation. We specialize in change point detection, anomaly detection, process monitoring, and fault diagnosis, addressing challenges in continuous manufacturing sector such as ceramics manufacturing, semiconductor manufacturing, solar cell manufacturing, and pipe tightening process. We also address the challenges in discrete manufacturing such as composite fuselage assembly and ship assembly.
Principal Investigator
Dr. Juan Du is an Assistant Professor at HKUST(GZ) specializing in smart manufacturing and industrial data analytics. Her research aims to improve manufacturing quality and efficiency through innovative data analytics methodologies.
Recent Works
(2024).
Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbances.
Naval Research Logistics (NRL).
(2024).
Reinforcement Learning for Process Control with Application in Semiconductor Manufacturing.
IISE Transactions.
(2024).
DeepFunction: Deep Metric Learning-Based Imbalanced Classification for Diagnosing Threaded Pipe Connection Defects Using Functional Data.
arXiv.