Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

Mr. Md Saifur Rahman | Mathematical | Best Researcher Award

Assistant Professor, RAJUK Uttara Model College, Bangladesh

Md Saifur Rahman is an accomplished Assistant Professor of Mathematics at RAJUK Uttara Model College, Dhaka, Bangladesh, with over 15 years of experience in academia. He is currently pursuing his Ph.D. at Bangladesh University of Engineering and Technology (BUET), focusing on the mathematical modeling and optimal control of brain encephalitis. He has made notable contributions in mathematical biology, computational modeling, and infectious disease epidemiology. His interdisciplinary work bridges mathematics with real-world biomedical problems, and he actively presents his research across national and international platforms.

Publication Profile

ORCID

πŸŽ“ Education Background

Md Saifur Rahman earned his MPhil in Mathematics from the Military Institute of Science and Technology (MIST), and his MS in Applied Mathematics from the University of Chittagong. He is currently pursuing a Ph.D. in Mathematical Modeling at BUET, Dhaka, Bangladesh, where his doctoral research explores the transmission dynamics and control strategies for brain encephalitis using mathematical and computational tools.

πŸ’Ό Professional Experience

Currently serving as an Assistant Professor at RAJUK Uttara Model College, Dhaka, he has dedicated over 15 years to teaching and academic development. His expertise extends into scientific computing using COMSOL Multiphysics and MATLAB. He has delivered invited lectures on ICT-enabled education and continues to influence the educational landscape through both innovation and research.

πŸ† Awards and Honors

Md Saifur Rahman received the Best Teacher Award in 2011 for his innovative use of multimedia content in teaching. He has also been recognized for delivering invited talks in ICT and education, and his academic influence spans several conferences across Bangladesh, Nepal, and Canada.

πŸ”¬ Research Focus

His research focuses on mathematical biology, fluid dynamics, and epidemiology, particularly modeling the transmission of infectious diseases like viral and bacterial encephalitis. He has developed mathematical models incorporating optimal control strategies to aid public health interventions. His work involves advanced computational tools such as COMSOL, Tecplot, and MATLAB to simulate disease spread and evaluate mitigation techniques.

πŸ”š Conclusion

Md Saifur Rahman is a dedicated scholar blending theoretical mathematics with applied health science, creating a meaningful impact in the fields of disease modeling and educational innovation. Through his interdisciplinary contributions and international presentations, he continues to build bridges between computation, biology, and societal well-being.

πŸ“š Top Publications

  1. Mathematical Modeling and Optimal Control of Viral Encephalitis
    πŸ”— Published in MDPI Mathematics (2024)
    πŸ—“ Year: 2024
    πŸ“Š Cited by: 4 articles on ResearchGate
    πŸ“Œ Summary: This paper presents an optimal control model for viral encephalitis and its implications for intervention strategies.

  2. Numerical Study of Heat and Mass Transfer in Nanofluid Flow Through Lid-Driven Porous Cavity
    πŸ”— Published in Scopus-indexed conference proceedings (2022)
    πŸ—“ Year: 2022
    πŸ“Š Cited by: 2 articles
    πŸ“Œ Summary: Investigates nanofluid behavior using computational simulations with practical applications in energy systems.

  3. Computational Modeling of Japanese Encephalitis Transmission Dynamics
    πŸ”— Preprint on ResearchGate (2023)
    πŸ—“ Year: 2023
    πŸ“Š Cited by: 1 article
    πŸ“Œ Summary: Extends previous research to analyze vector-borne transmission and optimal interventions.

  4. Epidemiological Insights into Bacterial Encephalitis Using Mathematical Tools
    πŸ”— Under review, MDPI Mathematics
    πŸ—“ Year: 2025 (expected)
    πŸ“Œ Summary: Explores bacterial encephalitis modeling to enhance public health strategy development.

 

Michael Ineh | Differential Equations | Best Researcher Award

Dr. Michael Ineh | Differential Equations | Best Researcher Award

Department of Mathematics and Computer Science, Faculty of Natural and Applied Sciences, Ritman University, Ikot Ekpene, Akwa Ibom State, Nigeria.

Dr. Michael P. Ineh (also known as Dr. Ineh, M.P) is a distinguished academic from Nigeria specializing in Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. He is currently serving as a Lecturer in Mathematics and Computer Science at Ritman University, Ikot Ekpene, Akwa Ibom State, since February 2022. Dr. Ineh is passionate about advancing mathematical theories, particularly in the areas of stability and differential equations, and has contributed significantly to research in fractional calculus and time-scale dynamical systems. πŸŒπŸ“š

Publication Profile

ORCID

Education

Dr. Ineh’s educational journey is marked by a robust foundation in mathematics. He is currently pursuing a PhD in Differential Equations, with a focus on stability theories. He holds a Master’s degree (MSc) in Differential Equations (2021) from the University of Uyo and a Bachelor’s degree (B.Sc) in Mathematics (2015) from Michael Okpara University, Umudike. Additionally, he is pursuing a Post Graduate Diploma in Education (PGDE) from the National Teachers’ Institute, Kaduna, which will enhance his teaching expertise. πŸŽ“πŸ“–

Experience

Dr. Ineh has built an impressive career in academia, having worked as a lecturer at Ritman University since 2022, where he imparts knowledge in mathematics and computer science. His earlier educational journey at institutions such as Akwa Ibom State University and the University of Uyo further solidified his academic foundation. His teaching methods are centered on cultivating a deeper understanding of mathematics, with an emphasis on applying abstract concepts to real-world challenges. πŸ«πŸ‘¨β€πŸ«

Awards and Honors

Dr. Ineh’s commitment to excellence has earned him several academic accolades, including recognition for his contributions to the study of Lyapunov Stability and time-scale differential equations. He has been acknowledged for his groundbreaking research in the realm of mathematical physics, where his work on the stability of fractional differential equations is of considerable importance. πŸŽ–οΈπŸ†

Research Focus

Dr. Ineh’s primary research interests are in the fields of Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. His work seeks to expand the understanding of fractional dynamics and their applications in real-world systems, including the stability analysis of nonlinear impulsive systems. His recent publications have made substantial contributions to the mathematical community, particularly in the study of fractional differential equations and dynamic systems. πŸ“ŠπŸ”¬

Conclusion

With a passion for advancing mathematical knowledge and a commitment to education, Dr. Michael P. Ineh is a notable figure in the field of mathematics. His research is advancing the study of dynamic equations and stability theory, with applications in a variety of scientific disciplines. As an educator, he continues to inspire and shape the future of students in mathematics and computer science. πŸŒŸπŸ“ˆ

Publications

A Novel Lyapunov Asymptotic Eventual Stability Approach for Nonlinear Impulsive Caputo Fractional Differential Equations

Journal: AppliedMath

DOI: 10.3390/appliedmath4040085

Cited By: Link to citations πŸ“œ

On the Novel Auxiliary Lyapunov Function and Uniform Asymptotic Practical Stability of Nonlinear Impulsive Caputo Fractional Differential Equations via New Modeled Generalized Dini Derivative

Journal: African Journal of Mathematics and Statistics Studies

DOI: 10.52589/ajmss-vunaiobc

Cited By: Link to citations πŸ“š

LYAPUNOV UNIFORM ASYMPTOTIC STABILITY OF CAPUTO FRACTIONAL DYNAMIC EQUATIONS ON TIME SCALE USING A GENERALIZED DERIVATIVE

Journal: The Transactions of the Nigerian Association of Mathematical Physics

DOI: 10.60787/TNAMP.V20.431

Cited By: Link to citations

A Novel Approach to Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative

Journal: AIMS Mathematics

DOI: 10.3934/math.20241639

Cited By: Link to citations

Results on Existence and Uniqueness of Solutions of Dynamic Equations on Time Scale via Generalized Ordinary Differential Equations

Journal: International Journal of Applied Mathematics

DOI: 10.12732/ijam.v37i1.1

Cited By: Link to citations

Approximating the Solution of a Nonlinear Delay Integral Equation by an Efficient Iterative Algorithm in Hyperbolic Spaces

Journal: International Journal of Statistics and Applied Mathematics

DOI: 10.22271/maths.2023.v8.i3b.1000

Cited By: Link to citations

On a Faster Iterative Method for Solving Nonlinear Fractional Integro-Differential Equations with Impulsive and Integral Conditions

Journal: Palestine Journal of Mathematics

Cited By: Link to citations

Variational Stability Results of Dynamic Equations on Time-Scales Using Generalized Ordinary Differential Equations

Journal: World Journal of Applied Science & Technology

Cited By: Link to citations

On Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative (Working Paper)

DOI: 10.20944/preprints202406.2042.v1

Cited By: Link to citations