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Murtada Khalafallah Elfaki

Associate Professor

Murtada Khalafallah Elfaki
mkelfaki@ju.edu.sa
Information Systems - Computer and Information Sciences College
College
Computer and Information Sciences College
كلية علوم الحاسب والمعلومات
Department
Information Systems
نظم المعلومات
Researches
18
18
Page Visits
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Current courses

Code Year Course Name
IS 494 Selected topics in Information systems

Recent courses

Code Year Course Name
IS 441 Mathematical Modeling for IS
IS 494 Selected topics in Information systems
IS 441 Mathematical Modeling for IS
IS 494 Selected topics in Information systems
IS 441 Mathematical Modeling for IS

Fm researches

Last Researches

An Intracranial Brain Hemorrhage’s Identification and Classification on CT Imaging using Fuzzy Deep Learning
Murtada Khalafallah Elbashir
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Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification
Murtada Khalafallah Elbashir
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Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Murtada Khalafallah Elbashir
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fm info

Researches

An Intracranial Brain Hemorrhage’s Identification and Classification on CT Imaging using Fuzzy Deep Learning
Murtada Khalafallah Elbashir
Read more
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification
Murtada Khalafallah Elbashir
Read more
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Murtada Khalafallah Elbashir
Read more
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network
Murtada Khalafallah Elbashir
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Acute Knee Injury Detection with Magnetic Resonance Imaging (MRI)
Murtada Khalafallah Elbashir
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LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
Murtada Khalafallah Elbashir
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An Efficient Deep Learning Approach for DNA-binding Proteins Classification from Primary Sequences
Murtada Khalafallah Elbashir
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Singular Value Decomposition-Based Penalized Multinomial Regression for Classifying Imbalanced Medulloblastoma Subgroups Using Methylation Data
Murtada Khalafallah Elbashir
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Performance Evaluation of Multiple Machine Learning Models in Predicting Power Generation for a Grid-Connected 300 MW Solar Farm
Murtada Khalafallah Elbashir
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A novel feature selection algorithm for identifying hub genes in lung cancer
Murtada Khalafallah Elbashir
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An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network
Murtada Khalafallah Elbashir
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Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication
Murtada Khalafallah Elbashir
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Classification of 27 heart abnormalities using 12-lead ECG signals with combined deep learning techniques
Murtada Khalafallah Elbashir
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Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization
Murtada Khalafallah Elbashir
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A Transfer Learning Approach Based on Ultrasound Images for Liver Cancer Detection.
Murtada Khalafallah Elbashir
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Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network
Murtada Khalafallah Elbashir
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Improved Siamese Palmprint Authentication Using Pre-Trained VGG16-Palmprint and Element-Wise Absolute Difference
Murtada Khalafallah Elbashir
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Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection
Murtada Khalafallah Elbashir
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Projects

A deep learning model for forecasting survival rates and refining predictors for cancer based on multi-omics data.
2024 - 2026
Deciphering Cancer Progression: Predictive Insights and Survival Analysis with Single-Cell RNA Sequencing
2024 - 2025
Cancer diagnosis using hub genes resulted from integrating microarray and RNASeq gene expression data
2021 - 2022
Cancer biomarkers identification based on single-cell RNA-Seq gene expression data
2024 - 2025
Graph-Based Deep Learning Architecture for Predicting Disease-Gene Associations through Functional Modules and Graph Augmentation
2024 - 2025

Experience

Associate professor
Faculty of Mathematical and Computer Sciences, University of Gezira, Sudan
2016 - 2017
Teacher Assistant
Faculty of Mathematical and Computer Sciences, University of Gezira, Sudan
2001 - 2003
Assistant professor
Faculty of Mathematical and Computer Sciences, University of Gezira, Sudan
2008 - 2016
Lecturer
Faculty of Mathematical and Computer Sciences, University of Gezira, Sudan
2003 - 2008
Associate professor
College of Computer and Information Sciences, Jouf University, Saudi Arabi
2017 - 2024

Education

Ph.D.
Central South University, China - College of Computer Science and Engineering
2013 - 2009
BA
University of Gezira - College of Mathematical and Computer Sciences
2000 - 1995
M.A.
Free State University - Computer and Information Sciences
2003 - 2001
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