Presenter

Haotian Yin is a Ph.D. graduate in Computer Science from the New Jersey Institute of Technology. Her research focuses on geometric deep learning, neural implicit representations, signed distance fields, 3D reconstruction, and generative modeling for geometric data. Her work explores differential-geometric methods for improving neural surface reconstruction, shape representation, and geometry-aware generation, with applications in computer graphics, CAD models, and 3D content creation.