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2025
Abhinav Prakash Gahlot, Bhar, I., Haoyun Li, and Felix J. Herrmann, “Context- and uncertainty-aware Digital Twins for Integrated Reservoir Management”, in SEG/SPE 2nd Integrated Reservoir Characterization, Surveillance, and Management Workshop: Advances and Challenges, 2025.
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.
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 Operations and Decision Making”, in Data Assimilation and Inverse Problems for Digital Twins Workshop 205, IMSI, Chicago, 2025.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Arockiasamy, R. Rex, Chandramoorthy, N., and Felix J. Herrmann, “Fisher-Informed Training of Neural Operators for Reliable PDE Inversion”, in ML4SEISMIC Partners Meeting, 2025.
Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “It's All in the Context: Sensitivity-Aware Digital Twins for Underground Storage”, in SIAM Conference on Mathematical & Computational Issues in the Geosciences, Baton Rouge, 2025.
Abhinav Prakash Gahlot, Bhar, I., and Felix J. Herrmann, “Mitigating Rock-Physics Model Misspecification in Digital Shadows via Amortized Bayesian Inference”, in ML4SEISMIC Partners Meeting, 2025.
J. Park, Grant Bruer, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, and Felix J. Herrmann, “A reduced-order derivative-informed neural operator for subsurface fluid-flow”, in International Meeting for Applied Geoscience and Energy, 2025.
Felix J. Herrmann, Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin, and Grant Bruer, “Robust Digital Twin for Geological Carbon Storage”, in SIAM Conference on Computational Science and Engineering (CSE25), 2025.
Huseyin Tuna Erdinc, Bhar, I., Souza, T., Rafael Orozco, and Felix J. Herrmann, “SAGE - Subsurface modeling with AI-driven Geostatistical Extraction and evaluation on North Sea Data”, in ML4SEISMIC Partners Meeting, 2025.
I. Bhar, Huseyin Tuna Erdinc, Souza, T., Rafael Orozco, and Felix J. Herrmann, “Seismic Dataset Curation from UK National Data Repository to Validate SAGE and WISE”, in ML4SEISMIC Partners Meeting, 2025.
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, Transactions on Geoscience and Remote Sensing, 2025.
Grant Bruer, Abhinav Prakash Gahlot, Herrmann, F., and Edmond Chow, “Seismic monitoring of CO2 using ensemble Kalman filtering”, 2025 Georgia Scientific Computing Symposium. 2025.
2024
Grant Bruer, Abhinav Prakash Gahlot, Edmond Chow, and Felix J. Herrmann, “Seismic monitoring of CO2 plume dynamics using ensemble Kalman filtering”, ML4SEISMIC Partners Meeting. 2024.
I. Bhar, Abhinav Prakash Gahlot, and Felix J. Herrmann, “Sensitivity of Horizontal shear waves on Geological Carbon Storage”, ML4SEISMIC Partners Meeting. 2024.
Abhinav Prakash Gahlot, Rafael Orozco, Haoyun Li, Grant Bruer, Ziyi Yin, Mathias Louboutin, and Felix J. Herrmann, “An Uncertainty-Aware Digital Twin for Geological Carbon Storage”, in SIAM Conference on Uncertainty Quantification, 2024.
2023
Grant Bruer, Felix J. Herrmann, and Edmond Chow, “CO2 reservoir monitoring through Bayesian data assimilation”, ML4SEISMIC Partners Meeting. 2023.
2021
George Bisbas, Fabio Luporini, Mathias Louboutin, Rhodri Nelson, Gerard Gorman, and Paul H. J. Kelly, “Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources”, in IEEE International Parallel and Distributed Processing Symposium, 2021.
2020
Mathias Louboutin, Fabio Luporini, Philipp A. Witte, Rhodri Nelson, George Bisbas, Thorbecke, J., Felix J. Herrmann, and Gerard Gorman, “Scaling through abstractions – high-performance vectorial wave simulations for seismic inversion with Devito”, Georgia Institute of Technology, TR-CSE-2020-3, 2020.
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.
2016
Ben B. Bougher and Felix J. Herrmann, “Amplitude vs. angle analysis as an unsupervised learning problem”, SINBAD Fall consortium talks. SINBAD, 2016.
Ben B. Bougher and Felix J. Herrmann, “AVA classification as an unsupervised machine-learning problem”, in SEG Technical Program Expanded Abstracts, 2016, pp. 553-556.
Ben B. Bougher, “Machine learning applications to geophysical data analysis”, The University of British Columbia, Vancouver, 2016.
Ben B. Bougher and Felix J. Herrmann, “Using the scattering transform to predict stratigraphic units from well logs”, CSEG Recorder, vol. 41, pp. 22-25, 2016.
2015
Ben B. Bougher and Felix J. Herrmann, “Prediction of stratigraphic units from spectral co-occurance coefficients of well logs”, in CSEG Annual Conference Proceedings, 2015.
Zhilong Fang, Tim Burgess, and Felix J. Herrmann, “Stochastic optimization and its application to seismic inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.

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