Lecturer at Universiti Sains Malaysia/Federal University Lokoja, Malaysia.
Dr. Sabastine Emmanuel is a Nigerian mathematician and lecturer at Federal University Lokoja with strong academic and pedagogical foundations in applied mathematics. He specializes in numerical methods and has contributed to undergraduate research in the fields of differential equations and computational methods. With over a decade of teaching experience, he is committed to nurturing mathematical skills and problem-solving capabilities in his students.
Publication Profile
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Educational Background 🎓
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M.Sc. Mathematics, University of Ilorin, Ilorin, Nigeria (2015)
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B.Sc. Mathematics, Nasarawa State University, Keffi, Nigeria (2010)
Professional Experience 💼
Dr. Sabastine Emmanuel is a dedicated academic professional currently serving as a Lecturer II in the Department of Mathematics at Federal University Lokoja, Kogi State, Nigeria, a position he has held since October 2018. He began his academic career at the same university as a Graduate Assistant in December 2012, and was later promoted to Assistant Lecturer in March 2015. Before joining academia, he gained teaching experience during his NYSC program at Victory Comprehensive College, Ondo, and also served as a classroom teacher at World Islamic College, Akwanga. Over the years, Dr. Emmanuel has taught a broad range of undergraduate mathematics courses, including Numerical Analysis, Discrete Mathematics, Differential Equations, Operations Research, and FORTRAN Programming. He has supervised several undergraduate research projects, focusing on numerical methods and mathematical modeling.
Research Interests 🔬
Dr. Emmanuel’s research interests lie primarily in Numerical Analysis, Differential Equations, Computational Mathematics, and Mathematical Modeling. He is particularly focused on the development and analysis of numerical techniques for solving ordinary and partial differential equations, integro-differential equations, and nonlinear mathematical problems. He is also interested in optimization methods including swarm intelligence and evolutionary algorithms.
Publications 📚
1. Multi-derivative Hybrid Block Methods for Singular Initial Value Problems with Application
Authors: S. Emmanuel, S. Sathasivam, M. O. Ogunniran
Journal: Scientific African
Volume: 24
Article ID: e02141
Year: 2024
Citations: 5
Summary: This study proposes and applies new multi-derivative hybrid block numerical methods to solve singular initial value problems (SIVPs), which are challenging due to their singular nature at the initial point. The paper demonstrates the method’s robustness and accuracy through theoretical analysis and computational experiments.
2. Estimating Nonlinear Regression Parameters Using Particle Swarm Optimization and Genetic Algorithm
Authors: S. Emmanuel, I. Okoye, C. Ezenweke, D. Shobanke, I. Adeniyi
Journal: FUDMA Journal of Sciences
Volume: 6, Issue: 6
Pages: 202–213
Year: 2022
Citations: 5
Summary: This paper compares the performance of two population-based optimization techniques—Particle Swarm Optimization (PSO) and Genetic Algorithm (GA)—in estimating parameters of nonlinear regression models. It provides insight into their convergence behavior, computational efficiency, and estimation accuracy.
3. Uniform Order Legendre Approach for Continuous Hybrid Block Methods for the Solution of First Order Ordinary Differential Equations
Authors: N. S. Yakusak, S. Emmanuel, M. O. Ogunniran
Journal: IOSR Journal of Mathematics
Volume: 11, Issue: 1
Pages: 09–14
Year: 2015
Citations: 5
Summary: The study presents a uniform order Legendre polynomial-based hybrid block method for solving first-order ODEs. The approach enhances solution accuracy and stability through continuous integration strategies and uniform convergence analysis.
4. Mathematical Modeling of Corruption Dynamics: Examining the Reintegration of Formerly Corrupt Individuals
Authors: R. S. Isa, S. Emmanuel, N. T. Danat, S. H. Tsok
Journal: FUDMA Journal of Sciences
Volume: 7, Issue: 4
Pages: 1–13
Year: 2023
Citations: 4
Summary: This paper develops a compartmental mathematical model to analyze the dynamics of corruption in society, with particular attention to the reintegration of previously corrupt individuals. It evaluates control strategies and potential reintegration policies using system stability analysis and simulations.
5. Estimating the Transmission Dynamics of Dengue Fever in Subtropical Malaysia Using SEIR Model
Authors: S. Emmanuel, S. Sathasivam, M. K. M. Ali, T. J. Kee, Y. S. Ling
Journal: Journal of Quality Measurement and Analysis (JQMA)
Volume: 19, Issue: 2
Pages: 45–56
Year: 2023
Citations: 4
Summary: Using the SEIR (Susceptible-Exposed-Infectious-Recovered) epidemiological model, this study simulates the spread of dengue fever in Malaysia. The authors analyze transmission rates, recovery parameters, and control measures to better understand the disease dynamics and support public health interventions.
Conclusion
Dr. Sabastine Emmanuel stands out as a dedicated, innovative, and steadily emerging researcher in the field of Computational Mathematics. His expertise in numerical methods, optimization algorithms, and real-world mathematical modeling places him among the rising scholars contributing to impactful and interdisciplinary research.
His balanced academic profile, which includes strong pedagogical engagement, peer-reviewed publications, and applications in public health and socio-economic systems, aligns well with the goals of a “Best Researcher Award”—especially one focused on innovative applied mathematics.