Dr. Yiyao Mei is an emerging scholar in the field of mathematics, specializing in computational and applied mathematics with a strong focus on optimization methods on manifolds. With an academic foundation from Nanjing University of Aeronautics and Astronautics, his research centers on advanced numerical algorithms, particularly in Riemannian optimization and conjugate gradient methods. His notable work on intrinsic scaled Riemannian nonmonotone conjugate gradient methods on the Stiefel manifold highlights his contribution to solving complex mathematical problems with applications in data science, engineering, and machine learning. Dr. Mei demonstrates strong technical proficiency in programming languages such as C, C++, and MATLAB, along with expertise in scientific documentation using LaTeX. His research reflects a balance between theoretical rigor and practical applicability, contributing to the advancement of efficient computational techniques. Through his academic efforts and publications in peer-reviewed journals, he continues to build a promising profile in the global mathematics community, supporting innovation in optimization theory and its interdisciplinary applications.