About the Journal

Journal of Applied Mathematics and Modelling (JAMM) aims to advance the frontiers of applied mathematics by publishing high-quality research that bridges theoretical developments with real-world applications. We seek to foster innovation in mathematical modeling, computational techniques, and analytical methods that address complex challenges across diverse scientific and industrial domains. Our mission is to provide a platform for interdisciplinary collaboration, promoting mathematical approaches that drive progress in science, engineering, technology, and decision-making processes.
JAMM is committed to:
• Promoting the integration of mathematical theory with practical applications.
• Encouraging interdisciplinary research that enhances problem-solving capabilities.
• Advancing computational and analytical techniques for modeling complex systems.
• Supporting open-access dissemination to maximize research impact and accessibility.
• Upholding rigorous peer review standards to ensure methodological soundness and originality.

Scope
The journal welcomes original research articles, comprehensive reviews, and methodological advancements in, but not limited to, the following areas:
✅ Mathematical Modeling and Computational Methods – Development and analysis of deterministic, stochastic, discrete, and continuous models, along with numerical techniques for solving complex mathematical problems.
✅ Optimization and Decision Science – Research in mathematical optimization, operations research, and decision-making models with applications in engineering, economics, logistics, and artificial intelligence.
✅ Differential Equations and Dynamical Systems – Theoretical and computational studies on ordinary, partial, and fractional differential equations, stability analysis, and nonlinear dynamical systems across scientific disciplines.
✅ Data-Driven and Machine Learning Models – Integration of mathematical modeling with artificial intelligence, big data analytics, and statistical learning to enhance predictive modeling and intelligent decision-making.
✅ Network Science and Complex Systems – Analysis of interconnected systems, network structures, and emergent behaviors in areas such as epidemiology, finance, transportation, and social sciences.