Isogeometric Analysis (IGA) is a modern advancement in computational analysis that aims to bridge the gap between design and analysis by using the same mathematical representation for both CAD and CAE models. This seamless integration makes IGA an ideal framework for design optimization, facilitating smooth incorporation with manufacturing and fabrication processes. Consequently, IGA has seen widespread application in addressing diverse design challenges involving novel materials, such as metamaterials, smart materials, and functionally graded materials, as well as advanced structures including beams, plates, and shells composed of these materials (FGMs). These optimization problems often involve high nonlinearity, multi-physics interactions, intricate cross-scale coupling and scale dependencies. Hence, this mini-symposium (MS) aims to bring together researchers working on IGA for the optimal material and structural design to exchange ideas, present novel developments, and discuss cutting-edge advances that can address the aforementioned challenges. The MS welcomes, but is not limited to, contributions in the following focused areas: • Development of novel isogeometric optimization frameworks for additive manufacturing. • Data-driven and machine-learning frameworks for isogeometric optimal design. • Optimization of smart/functionally graded/architected materials and structures. • Efficient numerical solvers for concurrent multi-scale simulation and optimization. • IGA-based computational homogenization algorithms. • Isogeometric shape, topology, and material optimization of plates and shells. • Post-buckling optimization strategies for thin-walled structures. • Optimization of micro- and nano-structures accounting for size-dependent effects. • Nonlinear, multi-physics, and multi-material optimization problems addressed through IGA. • Optimized design of materials and structures for emerging applications, such as healthcare, energy harvesting, and energy absorption.