There are four main research clusters in the Department of Mathematical Sciences. Interested students or parties are invited to contact the respective researchers (link).
The Theoretical and Applied Mathematics Cluster focuses on fundamental research activities in the fields of mathematics and pure sciences, as well as interdisciplinary research that incorporates mathematical elements into life sciences, engineering, medicine, computer science, social sciences, imaging, and fluid dynamics.
Research on Fundamental Studies
Research on Computational Mathematics
The Statistical Methodology and Data Analytics Cluster conducts research in modeling activities that integrate data modeling from various fields such as finance, weather, and climate.
Research on Modelling
The Actuarial and Financial Sciences Cluster focuses on quantitative research that combines expertise in Actuarial Sciences and finance, incorporating mathematical elements into investment, financial, and insurance issues.
Research on Quantitative Finance
The Performance Analytics and Innovation Cluster specializes in issues related to quality measurement and performance, as well as the quantitative application in the fields of quality and productivity.
Research on Quality and Performance Measurement