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
🎓 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.
💼 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.
🏆 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.
🔬 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.
🔚 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.
📚 Top Publications
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Mathematical Modeling and Optimal Control of Viral Encephalitis
🔗 Published in MDPI Mathematics (2024)
🗓 Year: 2024
📊 Cited by: 4 articles on ResearchGate
📌 Summary: This paper presents an optimal control model for viral encephalitis and its implications for intervention strategies.
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Numerical Study of Heat and Mass Transfer in Nanofluid Flow Through Lid-Driven Porous Cavity
🔗 Published in Scopus-indexed conference proceedings (2022)
🗓 Year: 2022
📊 Cited by: 2 articles
📌 Summary: Investigates nanofluid behavior using computational simulations with practical applications in energy systems.
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Computational Modeling of Japanese Encephalitis Transmission Dynamics
🔗 Preprint on ResearchGate (2023)
🗓 Year: 2023
📊 Cited by: 1 article
📌 Summary: Extends previous research to analyze vector-borne transmission and optimal interventions.
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Epidemiological Insights into Bacterial Encephalitis Using Mathematical Tools
🔗 Under review, MDPI Mathematics
🗓 Year: 2025 (expected)
📌 Summary: Explores bacterial encephalitis modeling to enhance public health strategy development.