Reindorf Nartey Borkor

Mathematics

About

Reindorf has developed a keen interest in computational modelling and simulation. It all started with him completing a Master of Philosophy in Applied Mathematics at Kwame Nkrumah University of Science and Technology(KNUST) where his research work focused on the application of fractional calculus in Pharmacokinetics. He also obtained his PhD in Scientific Computing and Industrial Modeling at the National Institute for Mathematical Sciences, KNUST.So far, his technical research areas have included scientific computing and machine learning. Currently, he works with the Center for Scientific and Technical Computing-NIMS as a fellow in Scientific computing and industrial modelling (specifically in Photovoltaic system modelling, flood inundation modelling and disease/Pharmacokinetic-pharmacodynamic (PKPD) modelling). For Reindorf, he believes that research is all about finding answers in multidisciplinary areas using tools in mathematics and computing.It’s not all work for lecturers though – each has time for fun. When he isn’t in the office, you can find him in one of his favourite spots on campus - "the campus gymnasium - a place to keep the body in good shape for the laborious tasks ahead. Also a good place to relax and chat with friends and students after work.” said Reindorf.

Research Summary

(inferred from publications by AI)

This researcher has focused their work across a diverse range of themes, all centered on advancing research through innovative approaches in computational optimization, simulation techniques, mathematical modeling, and real-world applications. Their overarching research focus encompasses the application of advanced algorithms and models to address challenges in photovoltaics, viral infections, public health systems, energy management, epidemiological studies, manufacturing processes, and financial mathematics. The researcher has developed novel solutions using hybrid methods such as NSGAII, Monte Carlo simulations, particle swarm grey wolf optimization, fractional compartmental models, curvilinear Shallow Water Equations, field-flow fractionation techniques, and machine translation approaches to tackle complex problems in these domains, aiming for both theoretical advancements and practical applications.

Research Themes

All Papers

Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method(2023)

Modelling the Transmission Dynamics of Meningitis among High and Low-Risk People in Ghana with Cost-Effectiveness Analysis(2022)

Mathematical modelling of meningitis serogroups A and C transmission in Sub-Saharan Africa: A case study in Ghana(2025)

Mathematical modelling of the transmission dynamics of Marburg virus disease with optimal control and cost-effectiveness analysis based on lessons from Ebola virus disease(2024)

Mathematical Modelling of the Transmission Dynamics of Marburg Virus Disease with Optimal Control and Cost-Effectiveness Analysis Based on Lessons from Ebola Virus Disease(2023)

Optimal Extraction of Photovoltaic Cell Parameters for the Maximization of Photovoltaic Power Output Using a Hybrid Particle Swarm Grey Wolf Optimization Algorithm(2021)

Stochastic optimal harmonic suppression with permissible photovoltaic penetration level for grid-linked systems using Monte Carlo-based hybrid NSGA2-MOPSO(2024)

A robust Monte Carlo-driven multi-criteria framework for enhancing photovoltaic penetration level with minimal total power losses for grid-connected system(2025)

Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation(2022)

Mathematical Modeling of Transmission Dynamics with Periodic Contact Rate and Control by Different Vaccination Rates of Hepatitis B Infection in Ghana(2021)

Stochastic Optimal Harmonic Suppression with Permissible Photovoltaic Penetration Level for Grid-Linked Systems using Monte Carlo-Based Hybrid NSGA2-MOPSO(2023)

A Stable Scheme of the Curvilinear Shallow Water Equations with No-Penetration and Far-Field Boundary Conditions(2023)

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)

Modeling GHS-USD Exchange Rate in Ghana: Application of Stochastic Volatility Model(2018)

A stable scheme of the Curvilinear Shallow Water Equations with no-penetration and far-field boundary conditions(2023)

Investigation of Fractional Compartmentalmodels in Pharmacokinetics with Application Toamiodarone Drug Diffusion(2024)

AfriSign: African sign languages machine translation(2025)

A two-phase production and transportation optimisation methodology for sustainable industrialisation under uncertainty(2025)

Collaboration Network

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Research Collaboration Map

Collaboration Frequency

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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.

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