Zhen Hu

Zhen Hu is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. He holds a Ph.D. in Mechanical Engineering from Missouri University of Science and Technology, an M.S. in Mechatronics Engineering from Huazhong University of Science and Technology (HUST), and a B.S. in Mechanical Engineering from Central South University (CSU). His research focuses on uncertainty quantification, risk and reliability analysis, design under uncertainty, additive manufacturing, and structural health monitoring.

• Ph.D., Mechanical Engineering, Missouri University of Science and Technology (2014)
• M.S., Mechatronics Engineering, HUST (2009)
• B.S., Mechanical Engineering, CSU (2007)

Zhen Hu's recent work integrates machine learning with structural health monitoring, additive manufacturing, and autonomous systems. His publications highlight applications of Bayesian networks, surrogate modeling, and deep learning for damage diagnostics, corrosion prognostics, and probabilistic digital twins. He has developed frameworks for data fusion in crashworthiness prediction and physics-enhanced models for hydrology.

Notable scientific awards include the ASME Papers of Distinction (2016), Best Paper Award at the ISC Graduate Research Symposium (2013), and multiple scholarships from Chinese institutions (2004-2008). Current grants include projects funded by NSF, DoE, and Ford Motor Company for digital enterprise technology, hybrid modeling, and battery workforce development.