Seismic Laboratory for Imaging and Modeling

Professor, team leader

+1 (404) 385-7069

CODA building 13th floor

Research Area: Computational Imaging; Machine Learning; PDE-constrained Optimization; Uncertainty Quantification; Randomized Linear Algebra

About me: Felix J. Herrmann graduated from Delft University of Technology in 1992 and received his Ph.D. in engineering physics from that same institution in 1997. After research positions at Stanford University and the Massachusetts Institute of Technology, he became in 2020 faculty at the University of British Columbia. In 2017, he joined the Georgia Institute of technology where he is a Georgia Research Alliance Scholar Chair in Energy, cross-appointed between the Schools of Earth & Atmospheric Sciences, Computational Science & Engineering, and Electrical & Computer Engineering. His cross-disciplinary research program spans several areas of computational imaging including seismic, and more recently, medical imaging. Dr. Herrmann is widely known for tackling challenging problems in the imaging sciences by adapting techniques from randomized linear algebra, PDE-constrained and convex optimization, high-performance computing, machine learning, and uncertainty quantification. Over his career, he has been responsible for several cost-saving innovations in industrial time-lapse seismic data acquisition and wave-equation based imaging. In 2019, he toured the world presenting the SEG Distinguished Lecture "Sometimes it pays to be cheap – Compressive time-lapse seismic data acquisition". In 2020, he was the recipient of the SEG Reginald Fessenden Award for his contributions to seismic data acquisition with compressive sensing. At Georgia Tech, he leads the Seismic Laboratory for Imaging and modeling and he is co-founder/director of the Center for Machine Learning for Seismic (ML4Seismic), designed to foster industrial research partnerships to drive innovations in artificial-intelligence assisted seismic imaging, interpretation, analysis, and time-lapse monitoring.

S. Zeng, Yunlin Zeng, Abhinav Prakash Gahlot, Deng, Z., and Felix J. Herrmann, “Self-attention summary networks for subsurface velocity-model building from common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2026.
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Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “JUDIAgent: a scientific coding agent for JUDI workflows in wave-equation imaging”, in International Meeting for Applied Geoscience and Energy, 2026.
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J. Park, Huseyin Tuna Erdinc, Grant Bruer, Richard Rex, Chandramoorthy, N., and Felix J. Herrmann, “Neural Operators with Accurate Jacobian for High-Fidelity Image-Domain Seismic Inversion”, in International Meeting for Applied Geoscience and Energy, 2026.
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Z. Deng, Abhinav Prakash Gahlot, Zeng, S., and Felix J. Herrmann, “Bridging the Acoustic-Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2026.
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Huseyin Tuna Erdinc, Bhar, I., Rafael Orozco, Souza, T., and Felix J. Herrmann, “SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior”, in International Meeting for Applied Geoscience and Energy, 2026.
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Abhinav Prakash Gahlot and Felix J. Herrmann, “Improving reservoir state prediction in digital shadows using Radon-transformed subsurface common-offset gathers”, in International Meeting for Applied Geoscience and Energy, 2026.
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I. Bhar, Huseyin Tuna Erdinc, Souza, T., Charles Jones, and Felix J. Herrmann, “OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI”, in International Meeting for Applied Geoscience and Energy, 2026.
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E. Cirakman, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Wavelet whitened patch-based diffusion prior for velocity models”, in International Meeting for Applied Geoscience and Energy, 2026.
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Yunlin Zeng, Huseyin Tuna Erdinc, and Felix J. Herrmann, “Bayesian Joint Velocity and Impedance Inversion via Diffusion Models Conditioned on Common Image Gathers”, in International Meeting for Applied Geoscience and Energy, 2026.
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Mathias Louboutin, Bhar, I., Huseyin Tuna Erdinc, and Felix J. Herrmann, “Learned Multiphysics Inversion with Differentiable Programming & Machine Learning: An open-source path from wave physics to CO₂ digital twins”, in EAGE Workshop: Open for Energy: Open Source, Open Data, Open Models, EAGE, Aberdeen, 2026.
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Huseyin Tuna Erdinc, Bhar, I., Zeng, S., Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Foundation models for Full-Waveform Inference w/ Uncertainty Quatification”, in 1st AIHPG - Artificial Intelligence & High-Performance Geophysics Workshop, Natal, Brazil, 2026.
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Abhinav Prakash Gahlot, Haoyun Li, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Context- and uncertainty-aware Digital Twin for the Optimization of Underground Storage Operations”, in SIAM Geosciences Webinar Series, 2026.
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Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Underground Energy Operations”, in Landmark Innovation Forum & Expo 2026, LIFE2026, Orlando, FL, 2026.
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Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Decision Making and Control with Digital Twins for Underground Energy Storage”, in SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN, 2026.
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Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Uncertainty-aware Digital Twins for Monitoring and Optimizing of Geological Carbon Storage”, in Net-Zero Emissions: Critical Minerals, Hydrogen, Nuclear, Geothermal, Wind, CCUS, and AI, SEG Workshop, 2026.
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Rafael Orozco, Ziyi Yin, Mathias Louboutin, Zeng, S., and Felix J. Herrmann, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, FWI Beyond Structure Interpretation — Benefits and Challenges, SEG workshop. 2026.
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Huseyin Tuna Erdinc, Souza, T., Zeng, S., Rafael Orozco, and Felix J. Herrmann, “Towards foundation models for subsurface priors and posteriors”, in Workshop on Scientific Machine Learning 2025, Austin, TX, 2025.
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Abhinav Prakash Gahlot, Haoyun Li, Bhar, I., Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, and Felix J. Herrmann, “Context-aware Digital Twin for Underground Storage”, in Artificial Intelligence and Digital Twins for Earth Systems 2025, Austin, TX, 2025.
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S. Zeng, Abhinav Prakash Gahlot, Haoyun Li, and Felix J. Herrmann, “Reconstructing reservoir states from multimodal data via score-based generative models”, in ML4SEISMIC Partners Meeting, 2025.
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Haoyun Li, Abhinav Prakash Gahlot, and Felix J. Herrmann, “CO2 Enhanced Oil Recovery Through Digital Shadow Modeling”, in International Meeting for Applied Geoscience and Energy, 2025.
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