Biblio

Export 14 results:
Author Title [ Type(Asc)] Year
Filters: Keyword is PhD  [Clear All Filters]
Thesis
Zhilong Fang, Source estimation and uncertainty quantification for wave-equation based seismic imaging and inversion, The University of British Columbia, Vancouver, 2018.
Ziyi Yin, Solving geophysical inverse problems with scientific machine learning, Georgia Institute of Technology, Atlanta, 2024.
Philipp A. Witte, Software and algorithms for large-scale seismic inverse problems, Georgia Institute of Technology, Atlanta, 2020.
Haneet Wason, Simultaneous-source seismic data acquisition and processing with compressive sensing, The University of British Columbia, Vancouver, 2017.
Mengmeng Yang, Seismic imaging with extended image volumes and source estimation, Georgia Institute of Technology, Atlanta, 2020.
Tim T.Y. Lin, Primary estimation with sparsity-promoting bi-convex optimization, The University of British Columbia, Vancouver, 2015.
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
Curt Da Silva, Large-scale optimization algorithms for missing data completion and inverse problems, The University of British Columbia, Vancouver, 2017.
Yijun Zhang, Large scale wavefield reconstruction via weighted matrix factorization and seismic survey design, Georgia Institute of Technology, Atlanta, 2023.
Shashin Sharan, Large scale high-frequency seismic wavefield reconstruction, acquisition via rank minimization and sparsity-promoting source estimation, Georgia Institute of Technology, Atlanta, 2020.
Bas Peters, Intersections and sums of sets for the regularization of inverse problems, The University of British Columbia, Vancouver, 2019.
Rajiv Kumar, Enabling large-scale seismic data acquisition, processing and waveform-inversion via rank-minimization, The University of British Columbia, Vancouver, 2017.
Felix Oghenekohwo, Economic time-lapse seismic acquisition and imaging–-Reaping the benefits of randomized sampling with distributed compressive sensing, The University of British Columbia, Vancouver, 2017.
Ali Siahkoohi, Deep generative models for solving geophysical inverse problems, Georgia Institute of Technology, Atlanta, 2022.