Xiao (Sean) Zhan

Sean Zhan is a graduate student in electrical engineering and computer science, developing AI-assisted tools to accelerate 3D design and fabrication. His research addresses a central challenge in engineering and design: how to ensure that generative models produce outputs that are not only creative but also mechanically sound and manufacturable. As a MathWorks Fellow, Sean aims to streamline the path from concept to production in engineering workflows by integrating AI with physical simulation. MATLAB supports this work across multiple dimensions, including mesh generation, finite element analysis, optimization routines, and manufacturability evaluation. Sean uses the Partial Differential Equation and Optimization Toolboxes to simulate structural deformation, refine part geometry, and ensure the feasibility of AI-generated designs. His research could reshape how engineers and designers apply generative tools, creating more reliable, fabrication-ready parts while expanding the boundaries of design automation.