SMA Young Investigator AwardSMA Young Investigator Award 2024

Xiaoming Fu has made notable contributions to geometric mapping optimization and AI for metamaterials. His research focuses on advanced methods for computing mappings and applying AI in material science.

Geometric Mapping Optimization
Xiaoming Fu’s research in geometric mapping optimization includes work on computing locally injective mappings, inversion-free mappings, and efficient bijective parameterizations. His 2020 work on bijective parameterizations in ACM Transactions on Graphics (ToG) has become highly influential in the field.

AI for Metamaterials
Xiaoming Fu has also explored the application of AI in metamaterials, co-authoring a paper on an optimized, easy-to-use GPU solver for large-scale inverse homogenization problems. His work bridges computational geometry with advanced AI applications​