Naoki Saito

Naoki Saito is a Professor in the Department of Mathematics at the University of California, Davis, and the Director of the UC Davis TETRAPODS Institute of Data Science (UCD4IDS). His research lies at the intersection of applied mathematics, signal processing, and data science, with a focus on multiscale analysis and harmonic analysis on graphs and networks.

His research interests include Applied and Computational Harmonic Analysis, Graph Signal Processing, Multiscale Transforms, Wavelets, Spectral Graph Theory, and Mathematical Data Representation. He develops theoretical frameworks and practical algorithms for analyzing complex datasets, particularly through the use of Laplacian eigenfunctions and multiscale basis dictionaries.

The recent publications reflect a strong trend toward graph-based signal processing, scattering transforms, and topological data analysis. His work emphasizes the construction of natural, adaptive bases for signals on graphs and simplicial complexes, enabling efficient and interpretable data analysis. The integration of harmonic analysis with machine learning techniques is a recurring theme.

Although no specific scientific awards are listed in the provided texts, his sustained scholarly output and leadership in the field are evident.

Dr. Saito advises a number of students and postdoctoral researchers, including J. Irion, Y. Shao, H. Li, and others. His research has been supported by various grants, though specific funding sources are not detailed in the provided materials.

He leads the UCD4IDS, a research institute focused on data science, indicating active involvement in collaborative, interdisciplinary research and academic leadership.