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Education and qualifications (3)

King Abdullah University of Science and Technology (KAUST): Thuwal, SA

2017-08-20 to present | PhD Student (Earth Science and Engineering)
Education
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KAUST Repository

Novosibirsk State University: Novosibirsk, Novosibirsk, RU

2015-09-01 to 2017-06-30 | MSc. in Applied Mathematics and Computer Sciences (Mathematics and Mechanics Department)
Education
Source: Self-asserted source
Muhammad Izzatullah

Universiti Teknologi Petronas: Tronoh, Perak, MY

2009-01-22 to 2013-10-27 | BEng. (Hons) Petroleum (Petroleum Engineering Department)
Education
Source: Self-asserted source
Muhammad Izzatullah

Works (29)

A comparison of deep learning-based techniques for solving partial differential equations

2024 | Conference paper
DOI: 10.1063/5.0171671
HANDLE: 10754/696830
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KAUST Repository

Physics‐reliable frugal local uncertainty analysis for full waveform inversion

Geophysical Prospecting
2024-09 | Journal article
DOI: 10.1111/1365-2478.13528
Contributors: Muhammad Izzatullah; Abdullah Alali; Matteo Ravasi; Tariq Alkhalifah
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Crossref
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Frugal uncertainty analysis for full waveform inversion

2023 | Conference paper
DOI: 10.3997/2214-4609.202310363
HANDLE: 10754/692125
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KAUST Repository

Plug-and-Play Stein variational gradient descent for Bayesian post-stack seismic inversion

2023 | Conference paper
DOI: 10.3997/2214-4609.202310177
HANDLE: 10754/692122
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KAUST Repository

Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion

GEOPHYSICS
2023 | Journal article
DOI: 10.1190/geo2023-0035.1
HANDLE: 10754/696144
ARXIV: 2212.14595
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KAUST Repository
grade
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The applicability and scalability of probabilistic inference in deep-learning-assisted geophysical inversion applications

2023 | Dissertation or Thesis
DOI: 10.25781/KAUST-73M52
HANDLE: 10754/691831
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KAUST Repository

Uncertainty Analysis for Full Waveform Inversion for the Imaging and Wave Propagation Scales

2023 | Conference paper
DOI: 10.3997/2214-4609.202379003
HANDLE: 10754/697440
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KAUST Repository

Advancing Stein Variational Gradient Descent for geophysical uncertainty estimation

2023-02-22 | Preprint
DOI: 10.5194/egusphere-egu23-3610
Contributors: Muhammad Izzatullah; Matteo Ravasi; Tariq Alkhalifah
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Crossref

A Wasserstein GAN with Gradient Penalty for 3D Porous Media Generation.

2022 | Conference paper
DOI: 10.3997/2214-4609.2022616005
HANDLE: 10754/685625
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KAUST Repository

An Overview on Deep Learning Techniques in Solving Partial Differential Equations

2022 | Book chapter
DOI: 10.1007/978-3-031-04028-3_4
HANDLE: 10754/685382
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KAUST Repository

Bayesian RockAVO: Direct petrophysical inversion with hierarchical conditional GANs

2022 | Conference paper
DOI: 10.1190/image2022-3745255.1
HANDLE: 10754/680416
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KAUST Repository

DIG-Kaust/RockGAN: Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.

2022 | Software
HANDLE: 10754/686394
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KAUST Repository

Heat Transfer Modelling with Physics-Informed Neural Network (PINN)

2022 | Book chapter
DOI: 10.1007/978-3-031-04028-3_3
HANDLE: 10754/685381
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KAUST Repository

izzatum/laplace-hypopinn: Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"

2022 | Software
HANDLE: 10754/686525
Source: check_circle
KAUST Repository

Physics-Constrained Deep Learning for Isothermal CSTR

2022 | Book chapter
DOI: 10.1007/978-3-031-04028-3_2
HANDLE: 10754/685380
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KAUST Repository

Pinnhypo: Hypocenter Localization Using Physics Informed Neural Networks

2022 | Conference paper
DOI: 10.3997/2214-4609.202210773
HANDLE: 10754/678311
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KAUST Repository

Predictive Uncertainty Quantification for Bayesian Physics-Informed Neural Network (Pinn) in Hypocentre Estimation Problem

2022 | Conference paper
DOI: 10.3997/2214-4609.202210063
HANDLE: 10754/678313
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KAUST Repository

ω-FWI: Robust full-waveform inversion with Fourier-based metric

2022 | Working paper
HANDLE: 10754/678183
ARXIV: 2205.09234
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KAUST Repository

Laplace HypoPINN: physics-informed neural network for hypocenter localization and its predictive uncertainty

Machine Learning: Science and Technology
2022-12-01 | Journal article
DOI: 10.1088/2632-2153/ac94b3
Contributors: Muhammad Izzatullah; Isa Eren Yildirim; Umair Bin Waheed; Tariq Alkhalifah
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Crossref
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Approximate Langevin Monte Carlo with Adaptation for Bayesian Full-Waveform Inversion

2021 | Conference paper
DOI: 10.3997/2214-4609.202112443
HANDLE: 10754/672094
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KAUST Repository

Gauss-Newton and L-BFGS Methods in Full Waveform Inversion (FWI)

2021 | Book chapter
DOI: 10.1007/978-981-16-4513-6_61
Contributors: Samsul Ariffin Abdul Karim; Mudassar Iqbal; Afza Shafie; Muhammad Izzatullah
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Crossref
grade
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Langevin Dynamics Markov Chain Monte Carlo Solution for Seismic Inversion

82nd EAGE Annual Conference & Exhibition
2021 | Conference paper
DOI: 10.3997/2214-4609.202010496
Source: Self-asserted source
Muhammad Izzatullah
grade
Preferred source (of 2)‎

Bayesian seismic inversion: a fast sampling Langevin dynamics Markov chain Monte Carlo method

Geophysical Journal International
2021-08-16 | Journal article
DOI: 10.1093/gji/ggab287
Contributors: Muhammad Izzatullah; Tristan van Leeuwen; Daniel Peter
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Crossref
grade
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Bayes Meets Tikhonov: Understanding Uncertainty Within Gaussian Framework for Seismic Inversion

2020 | Book chapter
DOI: 10.1007/978-981-15-8606-4_8
HANDLE: 10754/665903
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KAUST Repository

Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels

SEG Technical Program Expanded Abstracts 2020
2020-09-30 | Conference paper
DOI: 10.1190/segam2020-3422419.1
Source: Self-asserted source
Muhammad Izzatullah
grade
Preferred source (of 2)‎

Bayesian uncertainty estimation for full waveform inversion: A numerical study

2019 | Conference paper
DOI: 10.1190/segam2019-3216008.1
HANDLE: 10754/661895
Source: check_circle
KAUST Repository

BIRL/SPECTRUM: A MATLAB Toolbox for Proteoform Identification from Top-Down Proteomics Data

2019 | Software
HANDLE: 10754/668121
Source: check_circle
KAUST Repository

Visualizing the misfit landscape for full waveform inversion

2019 | Conference paper
DOI: 10.1190/segam2019-3216070.1
HANDLE: 10754/661899
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KAUST Repository

Cubic spline interpolation for petroleum engineering data

Applied Mathematical Sciences
2014 | Journal article
DOI: 10.12988/ams.2014.44284
Part of ISSN: 1314-7552
Source: Self-asserted source
Muhammad Izzatullah
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