Sensing, Diagnostics and Prognostics for Manufacturing Machines and Equipment
1 faculty research Sensing, Diagnostics and Prognostics for Manufacturing Machines and Equipment on GradNova.
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Associate Dean of Graduate Education, Office of the Dean
AI for Smart and Sustainable Manufacturing and Manufacturing Systems Integration
Computational Methods for Pain Assessment Physiological Sensing Systems
Engineering Education, Personalized Learning, and Mass-Customized Instruction Model
Machine Learning Models for Personalized Medicine and Healthcare
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