Dr. Felix J. Herrmann is Georgia Research Alliance Eminent Scholar in Energy and a professor at the Georgia Institute of Technology with appointments in the Schools of Earth and Atmospheric Sciences, Computational Science and Engineering, and Electrical and Computer Engineering. Dr. Herrmann will be the 2019 Distinguished Lecturer of the Society of Exploration Geophysicists (SEG).
Dr. Herrmann holds a M.Sc. and Ph.D. in Engineering Physics from the Delft University of Technology. He completed his postdoctoral studies at Stanford University and MIT before becoming a professor at the University of British Columbia's Department of Earth, Ocean, and Atmospheric Sciences. He joined the faculty of the Georgia Institute of Technology in October 2017.
During his career, Dr. Herrmann has worked on the development of the next-generation of industrial acquisition and computational imaging technologies designed to improve the image quality in complex geological areas at vastly reduced costs and environmental impact. Aside from driving innovations, by leveraging recent developments in the mathematical and computational sciences, Dr. Herrmann has extensive experience working with industry. At the University of British Columbia, he was the founder and director of the Seismic Laboratory for Imaging and Modelling (SLIM), which hosted the industry Consortium SINBAD. Under his guidance, SLIM became a world leader in the successful integration of transformative scientific developments, such as compressive sensing, randomized linear algebra, and machine learning, into innovative approaches that tackle the most challenging imaging problems. With his move to the Georgia Institute of Technology, Dr. Herrmann plans to broaden his research program to include other imaging modalities. Dr. Herrmann was a long program participant at UCLA's Institute for Pure and Applied Mathematics in the Fall of 2004 and has been involved in public-private partnerships around the world. He serves on the editorial board of Geophysical Prospecting and on the SEG Research Committee.
- Computational seismic imaging and acquisition
- Inverse problems
- Compressive sensing
- Machine learning
- Distinguished Lecturer, Society of Exploration Geophysicists (2019)
Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Total-variation regularization strategies in full-waveform inversion”, SIAM Journal on Imaging Sciences, vol. 11, p. 376-406, 2018.
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, and Gerard Gorman, “Performance prediction of finite-difference solvers for different computer architectures”, Computers & Geosciences, vol. 105, p. 148-157, 2017.
Rajiv Kumar, Oscar Lopez, Damek Davis, Aleksandr Y. Aravkin, and Felix J. Herrmann, “Beating level-set methods for 5D seismic data interpolation: a primal-dual alternating approach”, IEEE Transactions on Computational Imaging, 2017.
Oscar Lopez, Rajiv Kumar, Ozgur Yilmaz, and Felix J. Herrmann, “Off-the-grid low-rank matrix recovery and seismic data reconstruction”, IEEE Journal of Selected Topics in Signal Processing, vol. 10, p. 658-671, 2016.
Ernie Esser, Lluís Guasch, Felix J. Herrmann, and Mike Warner, “Constrained waveform inversion for automatic salt flooding”, The Leading Edge, vol. 35, p. 235-239, 2016.
Curt Da Silva and Felix J. Herrmann, “Optimization on the Hierarchical Tucker manifold - applications to tensor completion”, Linear Algebra and Its Applications, vol. 481, p. 131-173, 2015.
Tristan van Leeuwen and Felix J. Herrmann, “A penalty method for PDE-constrained optimization in inverse problems”, Inverse Problems, vol. 32, p. 015007, 2015.
Aleksandr Y. Aravkin, Rajiv Kumar, Hassan Mansour, Ben Recht, and Felix J. Herrmann, “Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation”, SIAM Journal on Scientific Computing, vol. 36, p. S237-S266, 2014.
Tristan van Leeuwen and Felix J. Herrmann, “Mitigating local minima in full-waveform inversion by expanding the search space”, Geophysical Journal International, vol. 195, p. 661-667, 2013.
Eldad Haber, Matthias Chung, and Felix J. Herrmann, “An effective method for parameter estimation with PDE constraints with multiple right hand sides”, SIAM Journal on Optimization, vol. 22, 2012.
Felix J. Herrmann and Gilles Hennenfent, “Non-parametric seismic data recovery with curvelet frames”, Geophysical Journal International, vol. 173, p. 233-248, 2008.
Gilles Hennenfent and Felix J. Herrmann, “Seismic denoising with nonuniformly sampled curvelets”, Computing in Science & Engineering, vol. 8, p. 16-25, 2006.
Last revised December 3, 2019