My research interest is to develop statistical methodologies and apply statistical methods to answer real-life questions in different areas.
I conduct theoretical developments in statistical learning methods as well as algorithms and statistical applications in various interdisciplinary areas, such as, atmospheric icing investigation, transportation research, climate analysis, and medical imaging science.
The involved statistical methodologies include Bayesian hierarchical spatiotemporal modelling, statistical learning with sparsity, compressive sensing, Markov chain modelling and survival analysis.