معرفی
Dr. Qingyu Yang is an Associate Professor in the Department of Industrial and Systems Engineering at Wayne State University's College of Engineering, where he chairs the PhD and research program. He directs the Reliability and Intelligent System Lab and co-directs the Material Process and Manufacturing initiative. His academic credentials include:
- Ph.D. in Industrial Engineering, University of Iowa
- M.S. in Statistics, University of Iowa
- M.E. in Intelligent Systems, University of Science and Technology of China
- B.S. in Automatic Control, University of Science and Technology of China
Dr. Yang's research integrates data analysis, reliability engineering, and AI-physics modeling to solve complex challenges in manufacturing systems. His work focuses on predictive maintenance, material degradation analysis, and microstructure-informed reliability optimization, bridging statistical methods with industrial applications.
His publications emphasize data-driven approaches in materials science and reliability engineering, with recent work exploring microstructure-based degradation modeling, autologistic regression for material analysis, and maintenance optimization for industrial systems. These contributions highlight a consistent theme of merging statistical rigor with practical engineering solutions.
Notable scientific honors include:
- Wilcoxon Award (2020) for pioneering work in Technometrics
- IISE Best Paper Award (2011)
- Excellence in Teaching Award (2020)
- Multiple Best Student Paper awards as advisor (2015, 2016)
He mentors graduate students in reliability and materials informatics research, with advisees winning conference awards. His grants include research funding from the University of Iowa and Wayne State University.
Dr. Yang leads interdisciplinary teams at the Reliability and Intelligent System Lab, advancing projects in AI-enhanced maintenance and material process optimization for industrial applications.
