Aerospace Engineering, Industrial Engineering, Networks, Sensors and Sensor Networks
Artificial Intelligence, Bayesian Methods, Causal Inference, Classification, Computational Tools for Data Science, Data Mining, Deep Learning, Machine Learning, Optimization, Predictive Modeling, Statistical Inference, Statistical Modeling, Time Series Analysis
Relevant Projects:

U.S. Army, Army Corps of Engineers


Committee Member of AIAA Non-Deterministic Approach Technical Committee

Zhen Hu

Assistant Professor

Department of Industrial and Manufacturing Systems Engineering

I am an assistant professor in Department of Industrial and Manufacturing Systems Engineering (IMSE) at the University of Michigan-Dearborn. Prior to joining UM-Dearborn, I was a research assistant professor and postdoctoral research scholar at Vanderbilt University. My research areas of interest are uncertainty quantification, Bayesian data analytics, big data analytics, machine learning, optimization under uncertainty, and applications of data analytics and machine learning in aerospace, mechanical and manufacturing systems, and material science. The goal of my research is to develop novel computational methods to design sustainable and reliable engineering systems by leveraging the rich information contained in the high-fidelity computational simulation models, experimental data, and big operational data and historical data.