Numerical & Computational Mathematics Group

The Numerical and Computational Mathematics Research Group develops and analyzes computational methods for modeling complex physical, biological, and environmental systems. A core research direction is the numerical solution of partial differential equations, particularly those arising in fluid dynamics, conservation laws, and fluid mechanics. The group designs, analyzes, and implements stable and efficient numerical schemes, with emphasis on accuracy, convergence, stability, and high-performance computation for large-scale simulations.

Beyond fluid systems, the group applies mathematical modeling and numerical analysis to interdisciplinary problems. Research includes image processing and geospatial analysis, where computational techniques are used for pattern recognition, data reconstruction, and spatial data interpretation. The group is also active in disease modelling and mathematical epidemiology, developing predictive and data-driven models to understand transmission dynamics and inform public health strategies. Collectively, the group integrates rigorous numerical analysis with practical computation to address real-world scientific and societal challenges.

 

Department Members in This Field

Faculty

 

Graduate Students

  • Suad Mutawakil (Ph.D. Candidate -- Current), Numerical Solution of Shallow Water Equations for Flood Modelling
  • Lilian Frempomaa Kyei (Ph.D. Candidate -- Current), Modeling the growth of cancer cell using Darwinian dynamics
  • Justina Ama Ackom (M.Phil. Candidate -- Current), A Genotype-Structured Mathematical Model for the Differential Impact of Sickle Cell Trait on Symptomatic and Asymptomatic Malaria Transmission Dynamics
  • Kojo Nketia (M.Phil. Candidate -- Current), Solving PDE Problems with Finite Elements: Use of Free Software for Pre-processing, Post-processing and Resolution

 

Publications
  • TBA