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Faculty member

MAHMOOD ABDELMONEIM MOHAMED

Assistant Professor

MAHMOOD ABDELMONEIM MOHAMED
mamahmood@ju.edu.sa
Computer Science - Computer and Information Sciences College
College
Computer and Information Sciences College
كلية علوم الحاسب والمعلومات
Department
Computer Science
علوم الحاسب
Researches
14
14
Page Visits
No view count available

Current courses

Code Year Course Name
IS 471 Enterprise Architecture
IS 323 Database Management Systems

Recent courses

Code Year Course Name
IS 406 E-Business
SWE 411 Web Application Development
IS 323 Database Management Systems

Fm researches

Last Researches

An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Adaptive Dynamic Learning Rate Optimization Technique for Colorectal Cancer Diagnosis Based on Histopathological Image Using EfficientNet-B0 Deep Learning Model
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more
Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more

fm info

Researches

An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more
Adaptive Dynamic Learning Rate Optimization Technique for Colorectal Cancer Diagnosis Based on Histopathological Image Using EfficientNet-B0 Deep Learning Model
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more
Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
Read more
Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-trained Deep Learning Models
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Cloud Computing Access Control Using Blockchain
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Enhancing Security Decision-Making to Prevent Network Attacks Using Blockchain Technology
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Tuberculosis Disease Diagnosis Based on an Optimized Machine Learning Model
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Optimal Deep Neural Network-Based Model for Answering Visual Medical Question
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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A FUZZY-BASED APPROACH FOR TRAFFIC JAM DETECTION
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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An Intelligent Groundwater Management Recommender System
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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A Deep Learning Model for Face Mask Detection
MAHMOOD ABDELMONEIM MAHMOOD MOHAMED
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Experience

Demonstrator
Graduate Faculty of Statistical Research
2000 - 2009
Associate Professor
Graduate Faculty of Statistical Research - Cairo University
2022 - 2024

Assistant Professor, Department of Information Systems and Technology - Graduate Faculty of Statistical Research - Cairo University

Assistant Professor
Houf University
2018 - 2024
Assistant Professor
Graduate Faculty of Statistical Research - Cairo University
2014 - 2022

Assistant Professor, Department of Information Systems and Technology - Graduate School of Statistical Research - Cairo University

Lecturer
Graduate Faculty of Statistical Research
2009 - 2014

Education

Ph.D.
Cairo University - Graduate Faculty of Statistical Research
2014 - 2010
BA
Cairo University - Science
1999 - 1995
M.A.
Cairo University - Graduate Faculty of Statistical Research
2009 - 2000

Projects

Leverage Deep Learning on a Multi-Source ECG Arrhythmia Classification Dataset
2024 - 2024
Acute knee injury detection with magnetic resonance imaging (MRI
2023 - 2024
A Segmentation-Enhanced Deep Learning Framework for Fine-Grained Emotions EEG-BCI
2024 - 2024
An intracranial brain hemorrhage's identification and classification on CT imaging
2024 - 2024
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