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Mathematics

    • Computational Methods in Applied Sciences and Engineering
    • Biological systems
    • Biomechanics
    • Biomedical technology
    • Computational methods in the life sciences
    • Numerical algorithms for bio-fluid dynamics
    • Damage, fracture and failure
    • Computational modeling of fracture and failure of materials and structures
    • Damage mechanics
    • Dynamic failure and fracture
    • Discretization methods, grid, mesh and solid generation
    • CAD, CAM and CAE
    • Grid generation for CFD and geometry definition for complex configurations
    • Solution adaptive grid techniques
    • Flow problems
    • Fluid mechanics
    • High-speed and chemically reacting flows
    • Multi-phase flows
    • Numerical algorithms for inviscid and viscous flows
    • Numerical methods and convergence acceleration in CFD
    • Unsteady flow computation
    • High performance computing
    • Interdisciplinary coupled and contact problems
    • Aero-acoustics
    • Computational contact mechanics
    • Coupled problems in science and engineering
    • Interdisciplinary computational methods
    • Materials
    • Adaptive materials systems, structures and smart materials
    • Computational materials science
    • Computational polymers and polymer composites
    • Computer methods in materials technology
    • Mechanical response of composites
    • Smart structures and materials
    • Multiscale problems
    • Computational microtribology and micromechanics
    • Computational multi physics, multi scales and multi big data
    • Computational nanotechnology
    • Multi-scale computational methods for solids and fluids
    • Multiple-scale physics and computation
    • Numerical simulation methods
    • Adaptive modeling and simulation
    • Atomistics simulations
    • High-order methods
    • Extended discretization methods
    • High order nonlinear numerical methods
    • Meshless and wavelet methods
    • Numerical algorithms for particle methods (lattice- Boltzmann, direct simulation Monte Carlo)
    • Numerical and symbolic computation
    • Particle-based methods
    • Optimization, inverse problems and control
    • Computational inverse problems and optimization
    • Evolutionary and deterministic methods for design, optimization and control
    • Reduction methods
    • Structural stability and dynamics
    • Uncertainty quantification and error estimation

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