Benoit Hudson

Benoit Hudson is an Assistant Professor at the Toyota Technological Institute at Chicago, specializing in computational geometry and algorithm design with theoretical guarantees. His work bridges practical implementation and theoretical analysis in mesh refinement, with applications to scientific computing and computer graphics. He has also contributed to auction theory and hybrid systems simulation.

Research interests include:

• Computational geometry
• Mesh refinement algorithms
• Scientific computing
• Data structures
• Algorithm design

His recent publications analyze:

• Volume mesh size complexity
• Linear-time surface reconstruction
• Delaunay refinement guarantees
• Dynamic mesh updating
• Parallel mesh generation

He maintains the sparse-meshing.com resource and previously worked on spacecraft diagnosis systems at NASA Ames Research Center. His academic advisors included Gary Miller (Carnegie Mellon University) and Tuomas Sandholm during early PhD years.