His research interests are broad; they include analysis of ranking data, data mining and STEM Education, AI and big data analytics, time series analysis, financial data analysis and risk management, and ranked set sampling. He has a substantial volume of work on most of these topics, including more than 140 publications and two Springer monographs on ranking methodology which have been favorably reviewed.