Research Expertise

My research interests are Computational Statistics, Uncertainty Quantification, Data Science (Machine Learning and Visualisation), and Bayesian Statistics with emphasis on applications in reliability, risk and hazard assessment, general modeling in engineering, applied sciences, Finance, and regional climate prediction. In particular, I am interested in developing tools to examine the complex nature of these fields to bring insights and solutions. Much of my work in this area involves modeling (reliability, risk, predictive, prescriptive) framework processes, with a Bayesian description of input parameters through quantification of parametric uncertainty and its impact on decision-making processes driven by data.

Additionally, I am involved in scientific visualization in engineering and the applicability of Artificial Intelligence technologies toward on-farm agricultural problems and industry optimisation domains.