Biblio
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, “Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification”, in SPIE Medical Imaging Conference, 2023.
, “Amortized Full-Waveform Inference w/ Learned Summary Statistics”, in Reduced Order and Surrogate Modeling for Digital Twins, IMSI, Chicago, 2025.
, “Attention Please: Getting the Most from CIGs with Learned Summary Statistics”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Background-Conditioned Diffusion Inversion for Seismic Velocity Models”, in ML4SEISMIC Partners Meeting, 2025.
, “BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Bridging the Acoustic–Elastic Gap in Seismic Inversion via Robust Summary Statistics”, in ML4SEISMIC Partners Meeting, 2025.
, “CO2 Enhanced Oil Recovery Through Digital Shadow Modeling”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Context- and uncertainty-aware Digital Twin for the Optimization of Underground Storage Operations”, in SIAM Geosciences Webinar Series, 2026.
, “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.
, “Context-aware Digital Twin for Underground Storage”, in Artificial Intelligence and Digital Twins for Earth Systems 2025, Austin, TX, 2025.
, “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.
, “Decision Making and Control with Digital Twins for Underground Energy Storage”, in SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN, 2026.
, “Deep Bayesian Inference for Task-based Seismic Imaging”, in KAUST, 2021.
, “Digital Shadow for CO2-based Enhanced Oil Recovery (CO2-EOR)”, in ML4SEISMIC Partners Meeting, 2025.
, “A Digital Twin for Geological Carbon Storage with Controlled Injectivity”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Digital Twins in the era of generative AI — Application to Geological CO2 Storage”, in ICON Seminar in IoT, 2024.
, “DT4GCS — Digital Twin for Geological CO2 Storage and Control”, in Geophysical Research for Gigatonnes CO2 Storage, Colorado School of Mines, 2024.
, “DT4GCS –- Digital Twin for Geological CO2 Storage and Control”, in Gigatonnes CO2 Storage Workshop, 2024.
, “Efficient and scalable posterior surrogate for seismic inversion via wavelet score-based generative models”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Enhancing Full-Waveform Variational Inference through Stochastic Resampling and Data Augmentation”, in International Meeting for Applied Geoscience and Energy, 2024.
, “Foundation models for Full-Waveform Inference w/ Uncertainty Quatification”, in 1st AIHPG - Artificial Intelligence & High-Performance Geophysics Workshop, Natal, Brazil, 2026.
, “Full-waveform variational inference with common-image gathers”, in International Meeting for Applied Geoscience and Energy, 2025.
, “Inference of CO2 flow patterns – a feasibility study”, in Neural Information Processing Systems (NeurIPS), 2023.
, “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.
, “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.