Computational Mathematics Methods and Applications in Engineering Science
submission deadline
25 Feb 2027
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Submission Open
Keywords: numerical methods for differential equations: the finite element method (FEM) and finite difference method (FDM); the boundary element method (BEM); mesh-free methods and particle methods; numerical solutions for partial differential equations (PDEs) and ordinary differential equations (ODEs) in engineering models; computational optimization and operations research: linear and nonlinear programming; heuristic and metaheuristic algorithms (e.g., genetic algorithms, particle swarm optimization); applications in logistics, structural design, and resource management; machine learning and artificial intelligence in engineering: neural networks, deep learning, and reinforcement learning for system modeling and control; data-driven modeling and surrogate models for complex simulations; applications in predictive maintenance, process control, and materials discovery; modeling and simulation: multiphysics and multiscale modeling; computational fluid dynamics (CFD); solid mechanics and structural analysis; simulation of transport phenomena (heat, mass, and momentum); computational statistics and data analysis: bayesian methods and uncertainty quantification; high-dimensional data analysis and signal processing; statistical modeling for engineering reliability and risk assessment; applications in engineering disciplines: civil and environmental engineering (e.g., water resource management, structural health monitoring); mechanical and aerospace engineering (e.g., aerodynamics, robotics, thermodynamics); chemical and process engineering (e.g., reactor design, separation processes); electrical engineering (e.g., electromagnetics, circuit simulation, control systems). materials science (e.g., computational materials design)