Deadline for manuscript submissions: 31 October 2025
Special Issue Editors
Prof. Mohammed Rasheed Website E-Mail: rasheed.mohammed40@yahoo.com
Guest Editor
University of Technology- Iraq, Iraq
Interests: ordinary differential equations, partial differential equations, integral equations, functional differential equations, stochastic differential equations, bifurcation, and control theory
Dr. Ahmed Shawki Jaber Website E-Mail: ahmedshawhijaber@gmail.com
Guest Editor
Mustansiriyah University, Iraq
Interests: applied mathematics, numerical analysis, game theory, biomathematics, ODE, FDE, statistics, integral equations, optimal control theory
Special Issue Information
This special issue invites original research and comprehensive reviews at the intersection of applied mathematics, computational methods, and their real-world applications in biology, environmental science, mechanical engineering, physics, and chemistry. With growing complexity in scientific problems, the integration of numerical analysis, ordinary and fractional differential equations (ODEs and FDEs), integral equations, and biomathematical modeling has become essential for understanding dynamic processes in natural and engineered systems.
In biology, mathematical models and simulations play a crucial role in understanding population dynamics, disease spread, gene regulation, and cellular processes. Game theory offers tools to analyze evolutionary behavior, competition in ecosystems, and immune system dynamics. Biomathematics further enables precise modeling of physiological systems, drug kinetics, and biointeractions.
In the environmental sciences, mathematical models are key to forecasting climate behavior, tracking pollutant dispersion, and managing natural resources. Optimal control theory is applied to ecological preservation, sustainable development, and pollution mitigation strategies. Statistical modeling and fuzzy logic help address uncertainty in environmental systems.
In mechanical engineering, differential equations and simulation techniques are used for stress analysis, thermal modeling, and material behavior prediction. Coupling computational physics with experimental data enables the design of energy-efficient systems and advanced materials.
In applied physics and chemistry, mathematical tools support the simulation of physical processes, molecular dynamics, chemical reaction kinetics, and transport phenomena. Fuzzy set theory and logic-based systems provide frameworks for managing complex experimental data and system uncertainties.
This issue also emphasizes modeling and simulation as powerful tools for predicting behavior, testing hypotheses, and optimizing designs across disciplines. The inclusion of machine learning, AI, and data-driven methods is encouraged where relevant.
By highlighting innovative theoretical approaches and applied methodologies, this issue seeks to bridge the gap between mathematics and practical challenges, fostering interdisciplinary collaboration and advancing scientific understanding across multiple domains.
Keywords:
Published Papers
Prof. Dr. Ji-Huan He
Soochow University, China
Excellence in Research for Australia (ERA Journal ID: 41584)
Elektronische Zeitschriftenbibliothek (EDB-Number: 2424167-2)
Eurasian Scientific Journal Index
Scilit Database (Switzerland)
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