Abstract
<jats:p>This volume highlights the role of applied mathematics in solving real-world scientific, technological, economic, and environmental problems. It emphasizes mathematical modeling, numerical simulation, optimization algorithms, and computational analysis for system characterization and prediction. The scope includes differential and stochastic modeling, simulation of physical and biological processes, data-driven mathematical inference, and uncertainty quantification. Contributions may focus on developing robust and efficient models that enhance interpretability, forecasting accuracy, and computational feasibility. Case studies demonstrating applications climate modeling, epidemiology, fluid dynamics, financial forecasting, supply chain optimization, energy systems, and risk assessment are encouraged. The volume seeks to bridge theoretical mathematical frameworks with practical implementation scenarios to support informed decision-making and engineered solution design.</jats:p>