Assistant Professor, Department of Systems and Industrial Engineering; Faculty member of the UA Statistics GIDP (graduate interdisciplinary program); Director, Reliability & Intelligent Systems Engineering Lab

Qiang Zhou

His research focuses on industrial data analytics for engineering decision making and system performance improvement,using methodologies from applied statistics, data mining, machine learning and signal processing. Specifically, he has been working in the areas such as experimental design and analysis of computer simulations, engineering system monitoring, fault diagnostics and failure prognostics, statistical quality control for manufacturing processes. Application areas of his research include semiconductor manufacturing, nanomaterial fabrication, automobile industry, telecommunications, computer simulations, etc. Interests include Machine Learning and Image Analysis. For more details, please go to my personal webpage: http://qzhou.faculty.arizona.edu/

Educational background:

B.E. in Automotive Engineering (2005), Dept of Automotive Engineering, Tsinghua Univ, Beijing, China
M.S. in Mechanical Engineering (2007), Dept of Automotive Engineering, Tsinghua Univ, Beijing, China
M.S. in Statistics (2010), Dept of Statistics, University of Wisconsin-Madison
Ph.D. in Industrial Engineering (2011), Dept of Industrial and Systems Engineering, University of Wisconsin-Madison