Industrial Data Analytics and Digital Manufacturing Lab

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

Hao Xu, Juan Du, Andi Wang, Y. Chen (2026). Ano-SuPs: Multi-Size Anomaly Detection for Manufactured Products by Identifying Suspected Patches. INFORMS Journal on Data Science.

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Jiaping Cao, Kangkang Zhou, Juan Du (2026). HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection. Advanced Engineering Informatics.

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Andi Wang, Hao Yan, Juan Du (2026). Interpretation and Visualization of Distance Covariance through Additive Decomposition of Correlations Formula. INFORMS Journal on Data Science.

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Peng Ye, Juan Du (2026). SAPO-RL: Sequential Actuator Placement Optimization for Fuselage Assembly via Reinforcement Learning. IISE Transactions.

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Juan Du, Chengyu Tao, Xuanming Cao, Fugee Tsung (2025). 3D Vision-based Anomaly Detection in Manufacturing: A Survey. Frontiers of Engineering Management.

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