Efficient traveltime solutions of the acoustic TI eikonal equation. - Umair bin Waheed; Tariq Alkhalifah; Hui Wang (J. Comput. Phys., 2015)

A highly accurate finite-difference method with minimum dispersion error for solving the Helmholtz equation. - Zedong Wu; Tariq Alkhalifah (J. Comput. Phys., 2018)

A new full waveform inversion method based on shifted correlation of the envelope and its implementation based on OPENCL. - Zedong Wu; Tariq Alkhalifah; Zhendong Zhang 003; Faisal Alonaizi; Majed Almalki (Comput. Geosci., 2019)

A partial-low-rank method for solving acoustic wave equation. - Zedong Wu; Tariq Alkhalifah; Zhendong Zhang 003 (J. Comput. Phys., 2019)

Microseismic Event Estimation Based on an Efficient Wavefield Inversion. - Chao Song 003; Tariq Alkhalifah (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A data-driven choice of misfit function for FWI using reinforcement learning. - Bingbing Sun; Tariq Alkhalifah (CoRR, 2020)

ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning. - Bingbing Sun; Tariq Alkhalifah (CoRR, 2020)

Efficient Wavefield Inversion With Outer Iterations and Total Variation Constraint. - Chao Song 003; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2020)

Joint Minimization of the Mean and Information Entropy of the Matching Filter Distribution for a Robust Misfit Function in Full-Waveform Inversion. - Bingbing Sun; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2020)

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning. - Tariq Alkhalifah; Hanchen Wang 003; Oleg Ovcharenko (CoRR, 2021)

The potential of self-supervised networks for random noise suppression in seismic data. - Claire Birnie; Matteo Ravasi; Tariq Alkhalifah; Sixiu Liu (CoRR, 2021)

PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting. - Xinquan Huang; Tariq Alkhalifah (CoRR, 2021)

PINNeik: Eikonal solution using physics-informed neural networks. - Umair bin Waheed; Ehsan Haghighat; Tariq Alkhalifah; Chao Song 003; Qi Hao (Comput. Geosci., 2021)

Direct Imaging Using Physics Informed Neural Networks. - Tariq Alkhalifah; Xinquan Huang (ICIP, 2022)

Transfer learning for self-supervised, blind-spot seismic denoising. - Claire Birnie; Tariq Alkhalifah (CoRR, 2022)

Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion. - Muhammad Izzatullah; Tariq Alkhalifah; Juan Romero; Miguel Corrales; Nick Luiken; Matteo Ravasi (CoRR, 2022)

Direct domain adaptation through reciprocal linear transformations. - Tariq Alkhalifah; Oleg Ovcharenko (Frontiers Artif. Intell., 2022)

Single Reference Frequency Loss for Multifrequency Wavefield Representation Using Physics-Informed Neural Networks. - Xinquan Huang; Tariq Alkhalifah (IEEE Geosci. Remote. Sens. Lett., 2022)

Enhancing Low-Wavenumber Information in Reflection Waveform Inversion by the Energy Norm Born Scattering. - Guanchao Wang; Tariq Alkhalifah; Shangxu Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

StorSeismic: A New Paradigm in Deep Learning for Seismic Processing. - Randy Harsuko; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2022)

Target-Oriented Time-Lapse Elastic Full-Waveform Inversion Constrained by Deep Learning-Based Prior Model. - Yuanyuan Li; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Task Learning for Low-Frequency Extrapolation and Elastic Model Building From Seismic Data. - Oleg Ovcharenko; Vladimir Kazei; Tariq Alkhalifah; Daniel B. Peter 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Wavefield Reconstruction Inversion via Physics-Informed Neural Networks. - Chao Song 003; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2022)

Upwind, No More: Flexible Traveltime Solutions Using Physics-Informed Neural Networks. - Mohammad Hasyim Taufik; Umair bin Waheed; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2022)

Data-Driven Microseismic Event Localization: An Application to the Oklahoma Arkoma Basin Hydraulic Fracturing Data. - Hanchen Wang 003; Tariq Alkhalifah; Umair bin Waheed; Claire Birnie (IEEE Trans. Geosci. Remote. Sens., 2022)

Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty. - Muhammad Izzatullah; Isa Eren Yildirim; Umair bin Waheed; Tariq Alkhalifah (Mach. Learn. Sci. Technol., 2022)

LatentPINNs: Generative physics-informed neural networks via a latent representation learning. - Mohammad Hasyim Taufik; Tariq Alkhalifah (CoRR, 2023)

PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks. - Francesco Brandolin; Matteo Ravasi; Tariq Alkhalifah (CoRR, 2023)

Joint Microseismic Event Detection and Location with a Detection Transformer. - Yuanyuan Yang; Claire Birnie; Tariq Alkhalifah (CoRR, 2023)

Optimizing a Transformer-based network for a deep learning seismic processing workflow. - Randy Harsuko; Tariq Alkhalifah (CoRR, 2023)

GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks. - Xinquan Huang; Tariq Alkhalifah (IEEE Geosci. Remote. Sens. Lett., 2023)

Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning. - Senlin Yang; Tariq Alkhalifah; Yuxiao Ren; Bin Liu 047; Yuanyuan Li; Peng Jiang 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Improving the Generalization of Deep Neural Networks in Seismic Resolution Enhancement. - Haoran Zhang; Tariq Alkhalifah; Yang Liu 143; Claire Birnie; Xi Di (IEEE Geosci. Remote. Sens. Lett., 2023)

Integrating U-Nets Into a Multiscale Full-Waveform Inversion for Salt Body Building. - Abdullah Alali; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2023)

Elastic Seismic Imaging Enhancement of Sparse 4C Ocean-Bottom Node Data Using Deep Learning. - Shijun Cheng; Xingchen Shi; Weijian Mao; Tariq Alkhalifah; Tao Yang; Yuzhu Liu; Heping Sun (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Pretraining Vision Transformer With Masked Autoencoders for Building Subsurface Model. - Yuanyuan Li; Tariq Alkhalifah; Jianping Huang; Zhenchun Li (IEEE Trans. Geosci. Remote. Sens., 2023)

An Anisotropic Waveform Inversion Using an Optimal Transport Matching Filter Objective: An Application to an Offshore Field Dataset. - Bingbing Sun; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2023)

A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2023)

Controllable seismic velocity synthesis using generative diffusion models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (CoRR, 2024)

Diffusion-based subsurface multiphysics monitoring and forecasting. - Xinquan Huang; Fu Wang; Tariq Alkhalifah (CoRR, 2024)

Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network. - Randy Harsuko; Shijun Cheng; Tariq Alkhalifah (CoRR, 2024)

Geological and Well prior assisted full waveform inversion using conditional diffusion models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (CoRR, 2024)

Multiple Wavefield Solutions in Physics-Informed Neural Networks Using Latent Representation. - Mohammad Hasyim Taufik; Xinquan Huang; Tariq Alkhalifah (IEEE Geosci. Remote. Sens. Lett., 2024)

Physics-informed neural wavefields with Gabor basis functions. - Tariq Alkhalifah; Xinquan Huang (Neural Networks, 2024)

Ensemble Deep Learning for Enhanced Seismic Data Reconstruction. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints. - Xinquan Huang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Gabor-Based Learnable Sparse Representation for Self-Supervised Denoising. - Sixiu Liu; Shijun Cheng; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Learnable Gabor Kernels in Convolutional Neural Networks for Seismic Interpretation Tasks. - Fu Wang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Efficient physics-informed neural networks using hash encoding. - Xinquan Huang; Tariq Alkhalifah (J. Comput. Phys., 2024)

Self-Supervised Seismic Resolution Enhancement. - Shijun Cheng; Haoran Zhang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2025)

SeparationPINN: Physics-Informed Neural Networks for Seismic P- and S-Wave Mode Separation. - Xinru Mu; Shijun Cheng; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2025)

Transformer-Based Seismic Image Enhancement: A Novel Approach for Improved Resolution. - Jin-Yeong Park; Omar M. Saad; Ju-Won Oh; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network. - Shijun Cheng; Tariq Alkhalifah (CoRR, 2025)

A generative foundation model for an all-in-one seismic processing framework. - Shijun Cheng; Randy Harsuko; Tariq Alkhalifah (CoRR, 2025)

Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (CoRR, 2025)

A new practical and effective source-independent full-waveform inversion with a velocity-distribution supported deep image prior: Applications to two real datasets. - Chao Song 003; Tariq Alkhalifah; Umair bin Waheed; Silin Wang; Cai Liu (CoRR, 2025)

Full waveform inversion with CNN-based velocity representation extension. - Xinru Mu; Omar M. Saad; Tariq Alkhalifah (CoRR, 2025)

Least-Squares-Embedded Optimization for Accelerated Convergence of PINNs in Acoustic Wavefield Simulations. - Mohammad Mahdi Abedi; David Pardo; Tariq Alkhalifah (CoRR, 2025)

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation. - Shijun Cheng; Tariq Alkhalifah (CoRR, 2025)

An effective physics-informed neural operator framework for predicting wavefields. - Xiao Ma; Tariq Alkhalifah (CoRR, 2025)