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Mohammad Azizur Rahman

Associate Professor

Hamad Bin Khalifa University

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Research Interests

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Professors in Fluid Mechanics

Articles (20)

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2026

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Collaborators (5)

Sina Rezaei-Gomari

Associate Professor of Research -Energy and Environmental Engineering

Teesside University

UNITED KINGDOM

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Mohamed Shafik Khaled

Assistant Professor

Colorado School of Mines

UNITED STATES

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Haitham Abu-Rub

Professor

Hamad Bin Khalifa University

QATAR

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Muhammad Saad Khan

Academic Researcher

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Saeed Harati

Lecturer

University of Birmingham

UNITED KINGDOM

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Mohammad Azizur Rahman

Research Interests

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Articles (20)

Development of Machine Learning Models for Multiple Leak Detection in Offshore Gas Pipelines under Single- and Multiphase Flow Conditions

Hybrid dimensionless-machine learning approach for predicting cuttings bed height in inclined wellbores

Geochemical transformations induced by CO 2 injection in Lithuanian saline aquifers: implications for carbon sequestration

Early Leak Recognition and Classification in Two-Phase Flow Systems Based on Machine Learning Using Dynamic Pressure Signals

Integrating advanced frequency-domain signal processing with machine learning for accurate leak detection in subsurface CO2 storage

Physics-informed multi-task neural network for simultaneous leak detection, diameter estimation, and localization in multiphase pipelines

Multiphase system leak detection, localization, and dimension estimation using multi-head Physics-informed neural network

A machine learning-enhanced experimental study of particle settling dynamics in complex fluid systems

Analysis and nomograph development for a leaky pipeline carrying plug flow based on numerical modeling and experimental validation

Analysis of water-air multiphase flow through a pipeline with two leaks using numerical and experimental methods

PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO2-Injected Porous Media

Advancing offshore pipeline safety: Exploring non-invasive Electrical Resistance Tomography for upstream leak response detection Strategy

Thermo-economic analysis of a novel P2X polygeneration system for hydrogen, ammonia, and methanol production with near-zero emissions

Comprehensive analysis of leak impacts on liquid-gas multiphase flow using statistical, wavelet transform, and machine learning approaches

Digital twin for leak detection and fault diagnostics in gas pipelines: A systematic review, model development, and case study

Vertical two-phase flow regimes in an annulus image dataset - Texas A&M university

A Deep Learning Model for Leakage Identification in Multiphase Flow Systems

AI-BASED ADAPTIVE DIGITAL TWIN FRAMEWORK FOR REAL-TIME LEAK DETECTION AND LOCALIZATION IN OFFSHORE GAS PIPELINES

Development of Digital/Visual Twin for Real-Time Leak Detection in Gas Pipelines Under Multiphase Flow Conditions

Diagnosis of a Leaky Pipeline Carrying Multiphase Flow under Plug Flow Conditions

Collaborators (5)

Sina Rezaei-Gomari

Mohamed Shafik Khaled

Haitham Abu-Rub

Muhammad Saad Khan

Saeed Harati

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