Tariq Alkhalifah

King Abdullah University of Science and Technology — Saudi Arabia

Earth and Planetary Sciences · Physical Sciences

52h-index11.9kcitations814works2.82yr avg
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Research Topics

Seismic Imaging and Inversion Techniques(715), Seismic Waves and Analysis(539), Hydraulic Fracturing and Reservoir Analysis(196), Geophysical Methods and Applications(194), Seismology and Earthquake Studies(101)

Publications814 total

Application of Multi-Dimensional Deconvolution to Enhance Seismic-While-Drilling Data Imaging
Geophysics·2026
A Deep‐Learning‐Driven Optimization‐Based Inverse Solver for Accelerating the Marchenko Method
Geophysical Prospecting·2025
Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
arXiv (Cornell University)·2025Open Access
A Generative Foundation Model for an All-in-One Seismic Processing Framework
Surveys in Geophysics·2025
Multifrequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
Geophysical Journal International·2025· 1 citedOpen Access
High-resolution velocity model estimation with neural operator and the time-shift imaging condition
arXiv (Cornell University)·2025Open Access
Conditional Diffusion Model for Robust 3-D Microseismic Event Localization from Noisy Waveforms
2025Open Access
A Deep-Learning-Driven Optimization-Based Inverse Solver for Accelerating the Marchenko Method
arXiv (Cornell University)·2025Open Access
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations?
arXiv (Cornell University)·2025Open Access
Gabor-enhanced physics-informed neural networks for fast simulations of acoustic wavefields
Neural Networks·2025· 2 citedOpen Access
An effective physics-informed neural operator framework for predicting wavefields
arXiv (Cornell University)·2025Open Access
Accelerating Marchenko Imaging by Self‐Supervised Prediction of Focusing Functions
Journal of Geophysical Research Machine Learning and Computation·2025Open Access
DeFault: DEep‐Learning‐Based FAULT Delineation Using the IBDP Passive Seismic Data at the Decatur CO2 Storage Site
UNC Libraries·2025Open Access
Physics-informed conditional diffusion model for generalizable elastic wave-mode separation
arXiv (Cornell University)·2025Open Access
Joint Microseismic Event Detection and Location With a Detection Transformer
Geophysical Prospecting·2025· 1 cited
DeFault: DEep‐Learning‐Based FAULT Delineation Using the IBDP Passive Seismic Data at the Decatur CO<sub>2</sub> Storage Site
Earth and Space Science·2025Open Access
Self-supervised multi-stage deep learning network for seismic data denoising
Artificial Intelligence in Geosciences·2025· 2 citedOpen Access
DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation
arXiv (Cornell University)·2025Open Access
LatentPINNs: Generative physics-informed neural networks via a latent representation learning
Artificial Intelligence in Geosciences·2025· 4 citedOpen Access
DiffusionInv: Prior-enhanced Bayesian Full Waveform Inversion using Diffusion models
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Umair bin Waheed(5), Chao Song(4), Oleg Ovcharenko(4), Vladimir Kazei(4), Y. Choi(4), Zedong Wu(4), Zhendong Zhang(4), Daniel Peter(3), Bingbing Sun(3), Ilya Tsvankin(2), Yun‐Seok Choi(2), Qi Hao(2), Mahesh Kalita(2), Claire Birnie(2), Ken Larner(2), Sergey Fomel(2), René-Édouard Plessix(1), Ehsan Haghighat(1), Pavel Plotnitskii(1), Xiangliang Zhang(1)