This track focuses on the application of computational methods to model and analyze complex biological systems. Topics include computational biology, biomechanics, and biomedical technology.

This session explores numerical algorithms and techniques for solving fluid dynamics problems. Emphasis will be placed on inviscid and viscous flows, multi-phase flows, and unsteady flow computations.

This track addresses computational modeling of damage, fracture, and failure in materials and structures. It will cover dynamic failure analysis and damage mechanics methodologies.

This session highlights the role of high-performance computing in solving complex engineering problems. Discussions will include parallel computing, optimization techniques, and computational efficiency.

This track focuses on computational approaches in materials science, including smart materials and adaptive systems. Topics will cover computational polymers, composites, and the mechanical response of materials.

This session emphasizes the integration of computational methods across various scientific and engineering disciplines. It will explore coupled problems, interdisciplinary approaches, and collaborative methodologies.

This track investigates the application of data mining and machine learning techniques in engineering contexts. Topics include predictive modeling, data-driven decision-making, and artificial intelligence applications.

This session focuses on optimization techniques and control strategies in engineering design. It will cover evolutionary methods, inverse problems, and structural stability.

This track explores multiscale computational techniques for modeling complex physical phenomena. Discussions will include multi-physics approaches and the challenges of integrating different scales.

This session highlights innovative numerical simulation methods, including high-order methods and meshless techniques. It will address convergence acceleration and the application of symbolic computation.

This track focuses on computational methods in nanotechnology and microtribology. Topics will include atomistic simulations, computational nanomaterials, and the mechanics at micro and nano scales.