Department of Mathematical Sciences
Department of Mathematical Sciences
Research Areas
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
- Etnomathematics and Islamization of Mathematical Sciences
- Fuzzy Mathematics
- Combinatorial Theory of Algebra
- Ergodic Theory
- Geometric Function Theory – Univalent and Multivalent Functions
- Credibility Theory
- Algebraic Topology
- Financial Mathematics
- Analysis
Research on Computational Mathematics
- Computational Complex Analysis
- Computational Biology
- Biomechanics
- Computational Fluid Dynamics
- Numerical Methods/Analysis
- Cryptography
- Scheduling problems
- Routing problems
- Image Processing and Pattern Recognition
- Dynamical Systems
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
- Multi-criteria Decision Making Method
- Hydrodynamic and Hydromagnetic Stability
- Mathematical Model in Islamic Finance
- Actuarial Modelling
- Boundary Layer Flow Modelling
- Multi-level Modelling
- Structural Equation Modelling
- Life Insurance and Takaful Claims Modelling
- General Insurance Claims Modelling
- Quantile Regression
- Bayesian Statistics
- Medical Statistics
- Demography and Social Statistics
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
- Investment and Financial Analysis
- Statistical and Econometrical Analysis on Financial Data
- Profitability Analysis on Life Insurance and Takaful
- Profitability Analysis on General Insurance Product
- Corporate Finance
- Financial and Managerial Mathematics
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
- Customer Satisfaction Index
- Quality and Productivity Measurement
- Organization Performance Measurement
- Relative Performance Measurement (DEA)
- Quality Improvement in Service Delivery
- Six Sigma in Service Sector
- Innovation Value Chain