Scholar
Felix J. Herrmann
Google Scholar ID: hw23CTQAAAAJ
Professor Schools of Earth and Atmospheric Sciences, Computational Science and Engineering
Computational Seismology
Bayesian Inference
Digital Twins for Geological Carbon Storage
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Citations & Impact
All-time
Citations
5,060
H-index
36
i10-index
107
Publications
20
Co-authors
50
list available
Contact
Email
felix.herrmann@gatech.edu
Publications
10 items
Twist Flow for Inverse Problems
2026
Cited
0
Self-attention summary networks for subsurface velocity-model building from common-image gathers
2026
Cited
0
OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI
2026
Cited
0
SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
2026
Cited
0
A reduced-order derivative-informed neural operator for subsurface fluid-flow
2025
Cited
0
Power-scaled Bayesian Inference with Score-based Generative mModels
2025
Cited
0
Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models
2025
Cited
0
Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling
2025
Cited
0
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Resume
Research Experience
Position: Professor.
Background
Research Interests: Computational Seismic Imaging, Inverse Problems, Machine Learning; Field: Solid Earth Sciences.
Co-authors
10 total
Mathias Louboutin
Senior Solution Architect, DevitoCodes Ltd
Tristan van Leeuwen
Centrum Wiskunde & Informatica
Philipp A. Witte
Microsoft AI
Aleksandr Aravkin
University of Washington
Ali Siahkoohi
Assistant Professor, CS & ECE Departments, University of Central Florida
Michael Lange
Department of Earth Science and Engineering, Imperial College London
Hassan Mansour
Mitsubishi Electric Research Laboratories
Bas Peters
Research Scientist at Earth Dynamics AI