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Adu Sakyi

Mathematics

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About

Mathematics, the basis of creation. Adu Sakyi is  a mathematician with great interest in the physical and biological applications of mathematics namely; hydrodynamic modeling, system dynamics, disease modeling, reservior simulation etc. He has specialty in the area of applied and computational mathematics. Having completed a BSc. and Mphil in Applied Mathematics, he obtained a PhD in Scientific Computing and Industrial Modeling. A program facilitated by the National Institute for Mathematical sciences, KNUST where he is currently a fellow. He is  a Lecturer in the Mathematics Department, KNUST. Adu Sakyi believes in self development and his principles are grounded on continuous research and curiosity in the strength of mathematics and computations.

Research Summary

(inferred from publications by AI)

The researcher's work spans across multiple disciplines in physical sciences, focusing on energy load and power forecasting, advanced mathematical modeling, groundwater flow studies, fractional differential equations solutions, flood risk assessment, field-flow fractionation techniques, and bacterial infections. Their core focus is on developing and applying sophisticated models to address challenges in these diverse areas, including energy systems, environmental flows, pharmacokinetics, hydrology, and public health.

Research Themes

All Papers

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method(2023)
Corrigendum to “Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method” [Heliyon Volume 9, Issue 8, August 2023, Article e18821](2025)
A Rigorous Homogenization for a Two-Scale Convergence Approach to Piping Flow Erosion with Deposition in a Spatially Heterogeneous Soil(2020)
A Formal Homogenization Approach to Piping Flow Erosion with Deposition in a Spatially Heterogeneous Soil(2020)
A New Multicontinuum Model for Advection-Diffusion Process of Single-Phase Nonlinear Flow in a Multiscale Fractured Porous Media(2022)
A new macro-scale volume averaged transport model for diffusive dominated non-Darcian flow problem in multi-scaled naturally fractured reservoirs(2022)
Investigation of Fractional Compartmental Models with Application to Amiodarone Drug Diffusion in Pharmacokinetics(2023)
Investigation of fractional compartmental models in pharmacokinetics with application to amiodarone drug diffusion(2025)
A Stable Implementation of a Well-posed 2-D Curvilinear Shallow Water Equations with No-Penetration Wall and Far-Field Boundary conditions(2022)
Investigation of Fractional Compartmentalmodels in Pharmacokinetics with Application Toamiodarone Drug Diffusion(2024)
Mathematical modelling of meningitis serogroups A and C transmission in Sub-Saharan Africa: A case study in Ghana(2025)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.