Shing I. Chang Associate Professor

Chang’s research area involves various data analytics methods related to quality engineering for manufacturing and health care applications. His recent research topics include statistical process monitoring for big data in manufacturing, quality 3D printing through cyber manufacturing, and entropy-based monitoring to prevent elderly falls using Microsoft Kinect videos and Fitbit health data. Some of his past research projects include: multivariate process monitoring and profile analysis, fuzzy neural applications in experimental design and process control, computer image inspection and statistical process control using wavelet transform, multi-attribute decision making under uncertainty for sustainability and resiliency building design, identifying data driven health care facilities in VHA hospital, and massive data analysis under uncertainty with application to GPS geometric modeling.

Research Interests:

• Statistical Process Control
• Quality Inspection
• Quality System Planning
• Experimental designs
• Multiple Response Quality Engineering
• Neural Networks and Fuzzy Sets applications
• Quality in Supplier Chain Management
• Geometric Modeling