Research Scholar, The Madura College, Madurai, Tamil Nadu, India
Mr. N. Jeeva is a passionate researcher and academician in the field of applied mathematics, particularly known for his contributions to nonlinear differential equations and mathematical modeling of infectious diseases. Currently pursuing his Ph.D. at The Madura College, Madurai, he has authored over 22 scientific publications across Scopus and Web of Science indexed journals. With experience in various analytical techniques and mathematical software, he has also served as a reviewer for reputed journals published by Elsevier and Springer. His dynamic research portfolio and international talks highlight his commitment to scientific advancement in mathematical epidemiology and computational analysis.
Profile
Google Scholar
🎓 Education
Mr. N. Jeeva completed his B.Sc. (2019) and M.Sc. (2021) in Mathematics from The American College, Madurai, with an impressive academic performance. He is currently pursuing his Ph.D. in Mathematics at The Madura College, Madurai, with his research focusing on analytical solutions for nonlinear differential systems in mathematical modeling. His educational journey has been enriched by a strong foundation in differential equations, linear algebra, and advanced computational techniques.
💼 Experience
Jeeva’s academic involvement includes specialization in teaching Differential Equations and Linear Algebra, supported by hands-on expertise in MATLAB, Maple, Mathematica, LaTeX, Python (Jupyter), and machine learning tools like artificial neural networks. His professional experience is further reflected in invited talks and collaborative publications with international researchers, positioning him as a scholar actively bridging mathematical theory with real-world epidemiological challenges.
🔬 Research Interest
Jeeva’s research interests span Mathematical Modeling, Nonlinear and Fractional Differential Equations, Epidemiological Analysis, Infectious Disease Dynamics, Asymptotic Methods, Numerical Analysis, Higher-Order Iterative Techniques, and Machine Learning Algorithms. His research integrates traditional analytical frameworks with modern computational intelligence, aiming to create efficient mathematical solutions for real-life health and environmental problems.
🏆 Awards
While no specific awards were listed, Jeeva’s growing academic footprint is evidenced by his h-index of 4, 59+ citations, and his role as a reviewer for reputed journals such as Scientific Reports, Modeling Earth Systems & Environment, Physica Scripta, and Discover Applied Mathematics. His invited talk for the Pan-African Quantitative Finance Research Group webinar on September 11, 2024, stands as a testament to his growing recognition in the field.
📚 Publications
Sensitivity Analysis for Coffee Berry Disease, Computer Research and Modeling, 2024, DOI 📑 Cited by: 5
Laplace & DTM for SARS-CoV-2, Journal of Applied Mathematics and Informatics, 2024, DOI 📑 Cited by: 4
Inverse Polynomial Method in Epidemiology, Journal of Mathematics and Computer Science, 2025, DOI 📑 Cited by: 2
Banana Bunch Top Disease Modeling, Eurasian J. of Math. & Comp. Apps, 2024, DOI 📑 Cited by: 3
Zika Virus Analysis, Comm. in Math. Bio. & Neurosci., 2024, DOI 📑 Cited by: 6
SEIQR Model via LADM, Indian Journal of Natural Sciences, 2024 📑
Taylor Series for Lane-Embed Equation, Comm. in Nonlinear Analysis, 2024 📑
Diabetes Model Simulation, Comm. in Math. Bio. & Neurosci., 2024, DOI 📑 Cited by: 4
Sumudu Transform for Diabetes, Indian Journal of Natural Sciences, 2024 📑
Skin Cancer Model Analysis, Int. Journal of Biomathematics, 2024, DOI 📑 Cited by: 2
HIV Infection Model with TSM, IJCRT, 2023 📑
Monkeypox Virus Analysis, Eurasian J. of Math. & Comp. Apps, 2024, DOI 📑
Xylene Biofilter Modeling, MESA, 2024 📑
HIV/AIDS Stigma Modeling, Comm. in Math. Bio. & Neurosci., 2025, DOI 📑
Dengue Transmission Methods, Int. J. of Analysis and Apps, 2024, DOI 📑
ANN for Tuberculosis, Under Review/Upcoming 📑
Conclusion
Jeeva is a promising and prolific early-career researcher with a clear focus on impactful and interdisciplinary mathematical modeling, especially in epidemiology and computational mathematics. Despite the ongoing Ph.D. status, the depth and breadth of their research, reviewer activity, and methodological innovation strongly support their eligibility and suitability for the Research for Young Scientist Award. With continued growth in impact metrics and post-Ph.D. development, they have the potential to emerge as a leading figure in applied mathematics.