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Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
Felix J. Herrmann, Charles Jones, Gerard Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, James Selvages, and Philipp A. Witte, “Accelerating ideation and innovation cheaply in the Cloud the power of abstraction, collaboration and reproducibility”, in 4th EAGE Workshop on High-performance Computing, 2019.
Tristan van Leeuwen, Rajiv Kumar, and Felix J. Herrmann, “Affordable full subsurface image volume–-an application to WEMVA”, in EAGE Annual Conference Proceedings, 2015.
Ali M. Alfaraj, Rajiv Kumar, and Felix J. Herrmann, “Automatic statics and residual statics correction with low-rank approximation”, in EAGE Annual Conference Proceedings, 2018.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “AVA analysis and geological dip estimation via two-way wave-equation based extended images”, in SEG Technical Program Expanded Abstracts, 2013, vol. 32, pp. 423-427.
Rajiv Kumar, Shashin Sharan, Nick Moldoveanu, and Felix J. Herrmann, “Compressed sensing based land simultaneous acquisition using encoded sweeps”, in EAGE Annual Conference Proceedings, 2018.
Nick Moldoveanu, Philip Bilsby, John Quigley, Rajiv Kumar, and Felix J. Herrmann, “Compressive sensing based design for land and OBS surveys: The noise issue”, in SEG Technical Program Expanded Abstracts, 2018, pp. 102-106.
Felix J. Herrmann, Rajiv Kumar, Felix Oghenekohwo, Shashin Sharan, and Haneet Wason, “Compressive time-lapse marine acquisition”, in SEG Workshop on Low cost geophysics: How to be creative in a cost-challenged environment; Dallas, 2016.
Vishal Kumar, “Curvelet denoising”, in SINBAD 2008, 2008.
Vishal Kumar, “Curvelet-regularized deconvolution”, in SINBAD 2008, 2008.
Vishal Kumar and Felix J. Herrmann, “Curvelet-regularized seismic deconvolution”, in CSEG Annual Conference Proceedings, 2008.
Shashin Sharan, Rajiv Kumar, Rongrong Wang, and Felix J. Herrmann, “A debiasing approach to microseismic”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2942-2946.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Ajinkya Kadu and Rajiv Kumar, “Decentralized full-waveform inversion”, in EAGE Annual Conference Proceedings, 2018.
Vishal Kumar and Felix J. Herrmann, “Deconvolution with curvelet-domain sparsity”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27, pp. 1996-2000.
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Ali Siahkoohi, Rajiv Kumar, and Felix J. Herrmann, “Deep-learning based ocean bottom seismic wavefield recovery”, in SEG Technical Program Expanded Abstracts, 2019, pp. 2232-2237.
Rajiv Kumar, Nick Moldoveanu, and Felix J. Herrmann, “Denoising high-amplitude cross-flow noise using curvelet-based stable principle component pursuit”, in EAGE Annual Conference Proceedings, 2017.
Emmanouil Daskalakis, Rachel Kuske, and Felix J. Herrmann, “Developments in the direction of solving extremly large problems in Geophysics”, in SEG Technical Program Expanded Abstracts, 2017, pp. 4375-4378.
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, “Devito: automated fast finite difference computation”, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, “Devito: symbolic math for automated fast finite difference computations”, in SIAM Conference on Computational Science and Engineering, 2017.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.
Rajiv Kumar, Tristan van Leeuwen, and Felix J. Herrmann, “Efficient WEMVA using extended images”, in SEG Workshop on Advances in Model Building, Imaging, and FWI; Houston, 2013.

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