Nan Cao

Papers

Total Citations

H-Index

About

Nan Cao is a leading researcher in computer graphics and geometric modeling, with a particular focus on developable surfaces—a class of shapes that can be flattened without stretching or tearing. Her most-cited work, the 2023 survey "A Survey of Developable Surfaces: From Shape Modeling to Manufacturing," has already garnered significant attention, reflecting the growing importance of this area across architecture, product design, manufacturing, and even data physicalization. Cao’s contributions bridge fundamental geometry with practical applications, enabling low-cost, easy-to-manufacture designs for tangible interfaces, deformable robots, and mechanical materials. Her research not only advances theoretical understanding but also provides actionable tools for engineers and designers, making complex shape modeling accessible for real-world production. With a citation count that continues to rise, Cao is recognized for her ability to synthesize interdisciplinary insights, and her work is increasingly cited in fields ranging from robotics to human-computer interaction. For students and researchers, Cao’s research offers a compelling example of how geometric principles can drive innovation in manufacturing and interactive systems, positioning her as a key figure in the future of shape-adaptive technologies.