His research mainly focuses on reliability data modeling, prediction, experimental design for accelerated life testing, and prognostics and health management. He is also interested in large-scale data analytics to extract meaningful and interesting knowledge from medical images and social media data. The research methodologies are based on the statistical model-based approach by using generalized linear mixed models, Bayesian analysis, simulations and optimization, and the data-driven approach, which includes various machine learning techniques.