Eric Weber

Co-I, D4 (Dependable Data Driven Discovery) Institute
Professor of Mathematics
Eric Weber.

Dr. Eric Weber holds a Ph.D. in Mathematics from the University of Colorado.  His research interests include harmonic analysis and approximation theory.  Past research includes developing novel wavelet transforms for image processing and reproducing kernel methods for the harmonic analysis of fractals.  Current research projects include the development of new algorithms for processing distributed spatiotemporal datasets in order to increase understanding of human dynamics; extending alternating projection methods for optimization in non-Euclidean geometries; using harmonic analysis techniques for understanding the approximation properties of neural networks; and developing machine learning techniques to improve the diagnosis of severe wind occurrences.

Area of Expertise: 
Ph.D., University of Colorado, 1999
B.A., Gustavus Adolphus College, 1995