معرفی
David Hammond is a Professor of Mathematics at Oregon Institute of Technology's Portland-Metro campus, where he has held a faculty position since 2013. His academic trajectory includes Peace Corps service teaching mathematics in Malawi, doctoral studies at NYU's Courant Institute, and postdoctoral research at École Polytechnique Fédérale de Lausanne and the University of Oregon.
His educational background features:
- B.S. in Mathematics/Chemistry from California Institute of Technology (1999)
- Ph.D. in Mathematics from New York University (2007)
Dr. Hammond's research centers on signal and image processing with specialized expertise in wavelet analysis and graph signal processing. His theoretical work on spectral graph wavelets enables advanced data analysis on complex networks, while practical applications span biomedical imaging, microscopy enhancement, and computational neuroscience. This dual focus bridges abstract mathematical frameworks with tangible engineering solutions.
Analysis of his recent publications reveals three dominant research streams: (1) foundational contributions to graph signal processing including the spectral graph wavelet transform, (2) biomedical applications in EEG source estimation and head tissue modeling, and (3) interdisciplinary policy work on sugary drink taxation and electricity market design. His 2018 paper on the spectral graph wavelet transform represents a cornerstone contribution with over 500 citations.
No scientific awards were documented in the source material.
As a full-time professor, Dr. Hammond maintains active research and teaching responsibilities. While specific advisees aren't listed, his publications indicate mentorship through collaborative research. His work has been supported by institutional affiliations rather than explicitly cited grants.
Though no dedicated laboratory is described, his research methodology suggests utilization of computational facilities for signal processing tasks, with collaborations spanning biomedical engineering, astronomy, and public health domains.
