The Modeling & Applications in Science & Engineering session focuses on the development, analysis, and implementation of mathematical and physical models that describe real-world scientific and engineering phenomena.
This session bridges the gap between theoretical formulations and practical applications, emphasizing multiscale, Multiphysics, and data-driven models used to simulate complex systems-from microscopic materials to global climate processes.
Researchers and practitioners will discuss advances in analytical modeling, computational simulations, optimization techniques, and uncertainty quantification, highlighting how these models drive innovation in energy systems, materials science, biomedical engineering, fluid mechanics, and environmental science.
The goal of this session is to foster cross-disciplinary collaboration and showcase how mathematics and physics provide a unifying framework for solving engineering and applied science challenges.