Education/Positions
Recognitions
In collaboration with graduate students, I have been researching in the area of statistical and transform methods for seismic data processing, waveform imaging and inversion in applied and global seismology. Over the past ten years, we have become recognized for the development of algorithms for multi-dimensional seismic data reconstruction, de-noising and the application of sparsity promoting methods to seismic data processing. We are currently studying problems of optimal acquisition design for simultaneous source acquisition, imaging, and full waveform inversion.
Application of time series analyses and image processing techniques to large geophysical data sets; sampling of data and problems of aliasing; one and two dimensional Fourier transforms; the Z transformation; spectral analysis, filtering, and deconvolution; application of 1D and 2D filtering to seismic and gravity/magnetic data analysis. Prerequisites: MATH 311, GEOPH 326, PHYS 234 or equivalent.
Fall Term 2020Application of time series analyses and image processing techniques to large geophysical data sets; sampling of data and problems of aliasing; one and two dimensional Fourier transforms; the Z transformation; spectral analysis, filtering, and deconvolution; application of computers in assignments. Note: This course cannot be taken for credit if credit has already been given for GEOPH 426.
Fall Term 2020