Mohammed Gamal Ragab

AI Researcher | Python Dev. | Cloud & MLOps Enthusiast

AI Researcher and Developer with 5+ years of experience advancing computer vision, natural language processing, and predictive modeling across healthcare, energy, and environmental domains. Skilled in designing and deploying deep learning models (CNNs, YOLO, UNet, Transformers) and modern AI workflo...

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Mohammed Gamal Ragab

20+

Publications

1,316+

Citations

13

h-index

5+

Years Exp.

Research Interests

Key areas of expertise and research focus

Machine Learning Image Processing Computer Vision Natural Language Processing Generative AI Cloud & MLOps Data Analytics

Featured Projects

Recent and notable work

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Upstream Digital Twin: Smart Sand Well Control System

April 2022 – January 2023

Completed

Delivered a comprehensive digital twin solution for sand management in offshore wells, integrating real-time sensor data with predictive

Optimization of One-Dimensional Convolutional Neural Network for Corrosion Prediction in Subsea Pipelines

January 2023 – February 2024

Completed

Redesigned and optimized 1D-CNN architecture for real-time corrosion prediction in subsea pipeline monitoring

LIGHTHOUSE: Deep Learning Based Radar Integrated Nowcasting System

February 2023 – January 2025

Completed

Developed a deep learning-based system for real-time weather nowcasting using radar data

Computer Aided Defect Detection of Limited Weld Inspection Films from Non-Destructive Radiography Testing

February 2023 – June 2025

Completed

Spearheaded an AI-powered detection system for identifying defects in radiographic weld inspection

Advanced Medical Imaging Analysis: YOLO & UNet Applications in Healthcare

September 2023 – May 2025

Completed

Adapted state-of-the-art computer vision algorithms for medical diagnostics, enhancing anomaly detection accuracy and vascular segmentation precision in radiological scans for improved treatment

Recent Publications

Latest research contributions

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Enhancing Multi-Class Cyberbullying Classification with Hybrid Feature Extraction and Transformer-Based Models

2025 2 citations

Suliman Mohamed Fati, Mostafa Ali Mahdi, Mohammed Ali G. Hazber, Shahid Ahamad, Saleh Abdulfattah Saad, Mohammed Gamal Ragab, Said Jadid Abdulkadir

Computer Modeling in Engineering & Sciences (CMES), Vol. 143(2) - Tech Science Press

RNN-LSTM: From applications to modeling techniques and beyond—Systematic review

2024 356 citations

Safwan Mahmood Al-Selwi, Mohammed Fazle Hassan, Said Jadid Abdulkadir, Amgad Muneer, Ebrahim Hamid Sumiea, Alawi Alqushaibi, Hitham Alhussian, Mohammed Gamal Ragab

Journal of King Saud University - Computer and Information Sciences, Vol. 36(5) - Elsevier

A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)

2024 284 citations

Mohammed Gamal Ragab, Said Jadid Abdulkadir, Amgad Muneer, Alawi Alqushaibi, Ebrahim Hamid Sumiea, Hitham Alhussian, Suliman Mohamed Fati, Rizwan Qureshi

IEEE Access, Vol. 12 - IEEE

Deep deterministic policy gradient algorithm: A systematic review

2024 120 citations

Ebrahim Hamid Sumiea, Said Jadid Abdulkadir, Hitham Seddig Alhussian, Safwan Mahmood Al-Selwi, Alawi Alqushaibi, Mohammed Gamal Ragab, Suliman Mohamed Fati

Heliyon, Vol. 10(9) - Elsevier

Predicting the compressive strength of engineered geopolymer composites using automated machine learning

2024 22 citations

Mahmoud Anwar Gad, Ehsan Nikbakht, Mohammed Gamal Ragab

Construction and Building Materials, Vol. 442 - Elsevier

Interested in Collaboration?

I'm always open to discussing research opportunities, collaborations, or consulting projects in AI, Machine Learning, and Computer Vision.