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The Research Leagues events aim to release a wide range of articles that provide insight and explore the latest advancements in engineering, medicine, social science, applied science, management etc.

Our conference practices methodological, conceptual, and epistemological diversity. But we prefer articles that effectively engage with current intellectual debates. We expect our participants to contribute innovative ideas, perspectives, and research methods.

Our events can potentially revolutionize the current paradigm and pave the way for growth and development. Those who intend to have their original findings and research published through our events should get an idea from the Author Guidelines, Rules for Presentation, and Instruction sections, before anything else.

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