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OSAMA REZQ SHAHIN

Assistant Professor

OSAMA REZQ SHAHIN
orshahin@ju.edu.sa
Information Technology - College of Applied
Collage
College of Applied
الكلية التطبيقية
Department
Information Technology
تقنية المعلومات
Researches
32
32
Page Visits
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Current courses

Code Year Course Name
APRG 121 Systems analysis and design tools
AITA 123 Programming and applications
APRG 122 Programming languages ??for information applications 1

Recent courses

Code Year Course Name
ACGD 110 Computer for Graphics
ACGD 112 Typographic Design

Fm researches

Last Researches

Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection
OSAMA REZQ FADLE SHAHIN
Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5
OSAMA REZQ FADLE SHAHIN
Structural performance evaluation of cold formed steel cantilever beams with varying perforation Patterns
OSAMA REZQ FADLE SHAHIN

fm info

Researches

Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection
OSAMA REZQ FADLE SHAHIN
Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5
OSAMA REZQ FADLE SHAHIN
Structural performance evaluation of cold formed steel cantilever beams with varying perforation Patterns
OSAMA REZQ FADLE SHAHIN
A robust deep neural network framework for the detection of diabetes
OSAMA REZQ FADLE SHAHIN
Identification of olive leaf disease through optimized deep learning approach
OSAMA REZQ FADLE SHAHIN
Utilizing CNN-LSTM techniques for the enhancement of medical systems
OSAMA REZQ FADLE SHAHIN
Vehicle identification using eigenvehicles
OSAMA REZQ FADLE SHAHIN
An Efficient Deep Learning Mechanism for the Recognition of Olive Trees in Jouf Region
OSAMA REZQ FADLE SHAHIN
Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus
OSAMA REZQ FADLE SHAHIN
A robust deep neural network framework for the detection of diabetes
OSAMA REZQ FADLE SHAHIN
Design of Autonomous Online Social Community Architecture for Older Adults
OSAMA REZQ FADLE SHAHIN
Detection and classification of Covid-19 in CT-lungs screening using machine learning techniques
OSAMA REZQ FADLE SHAHIN
The Level of ELMS Success in Satisfying Students at Al-Jouf University During the Corona Crisis
OSAMA REZQ FADLE SHAHIN
Gesture based Arabic Sign Language Recognition for Impaired People based on Convolution Neural Network
OSAMA REZQ FADLE SHAHIN
Human Face Recognition from Part of a Facial Image based on Image Stitching
OSAMA REZQ FADLE SHAHIN
Modified Deep Residual Quantum Computing Optimization Technique for IoT Platform
OSAMA REZQ FADLE SHAHIN
Machine Algorithm for Heartbeat Monitoring and Arrhythmia Detection Based on ECG Systems
OSAMA REZQ FADLE SHAHIN
Part of speech tagging for Arabic text based radial basis function
OSAMA REZQ FADLE SHAHIN
A Framework for Secure Healthcare Data Management using Blockchain Technology
OSAMA REZQ FADLE SHAHIN
Breast Cancer Classification Using: Pixel Interpolation
OSAMA REZQ FADLE SHAHIN
Maneuvering Digital Watermarking In Face Recognition
OSAMA REZQ FADLE SHAHIN
Source Localization of EEG Brainwaves Activities via Mother Wavelets Families for SWT Decomposition
OSAMA REZQ FADLE SHAHIN
Asymmetric DNA encryption and decryption technique for Arabic plaintext
OSAMA REZQ FADLE SHAHIN
Sentiment Analysis of COVID-19 Tweets: Impact of Pre-processing Step
OSAMA REZQ FADLE SHAHIN
Prediction of data threats over web medium using advanced blockchain based information security with crypto strategies
OSAMA REZQ FADLE SHAHIN
A New Method of Data Encryption based on One to One Functions
OSAMA REZQ FADLE SHAHIN
Design of a Smart Medical Bracelet Prototype for COVID-19 based on Wireless Sensor Networks
OSAMA REZQ FADLE SHAHIN
Mammogram Breast Cancer Detection using Fast Watershed Segmentation
OSAMA REZQ FADLE SHAHIN
Design and analysis of DNA encryption and decryption technique based on asymmetric cryptography system
OSAMA REZQ FADLE SHAHIN
Breast cancer detection using modified Hough transform
OSAMA REZQ FADLE SHAHIN

Projects

Gesture based Arabic Sign Language Recognition for Impaired People based on Convolution Neural Network
2021 - 2021

The Arabic Sign Language has endorsed outstanding research achievements for identifying gestures and hand signs using the deep learning methodology. The term "forms of communication" refers to the actions used by hearing-impaired people to communicate. These actions are difficult for ordinary people to comprehend. The recognition of Arabic Sign Language (ArSL) has become a difficult study subject due to variations in Arabic Sign Language (ArSL) from one territory to another and then within states.

A robust deep neural network framework for the detection of diabetes
2021 - 2024

Significant developments occurred in numerous industries and fields during the digital age (1997–2006). One industry that has seen similar changes is the healthcare sector. Big data has primarily come from the healthcare sector since the 1990s. The outcomes of data analysis and dissemination have boosted healthcare and awareness. Perspectives and insights are the outcomes. The most important public health issue has been identified as diabetes and its repercussions. Based on patient medical imaging and records gathered, various techniques have been used to forecast diabetic complications.

Sentiment analysis of Twitter data for Saudi universities
2018 - 2019

With the tremendous increase in web technologies, many people are conveying and expressing their feelings through social media. These data collections, called big data, can be of high value to institutions, governments, and researchers if analyzed and interpreted as well. Most of the studies on sentiment analysis have been performed for the English language and few of these works focus on Arabic. Further, these studies rarely focus on colloquialisms, and no research was carried out on Twitter data related to Saudi universities.

Machine learning approach for autonomous detection and classification of COVID-19 virus
2020 - 2022

As people all over the world are vulnerable to be affected by the COVID-19 virus, the automatic detection of such a virus is an important concern. The paper aims to detect and classify corona virus using machine learning. To spot and identify corona virus in CT-Lung screening and Computer-Aided diagnosis (CAD) system is projected to distinguish and classifies the COVID-19. By utilizing the clinical specimens obtained from the corona-infected patients with the help of some machine learning techniques like Decision Tree, Support Vector Machine, K-means clustering, and Radial Basis Function.

Identification of olive leaf disease through optimized deep learning approach
2023 - 2024

The production of olives in Saudi Arabia, which accounts for around 6% of worldwide output, is regarded as one of the best in the world. Because olive trees are rain-fed and produced using conventional methods, yields vary greatly each year, which is made worse by viral illnesses and climate change. Therefore, it is necessary to identify plant illnesses early on. Farmers diagnose plant illnesses using conventional visual assessment or laboratory analysis. Diagnosing illnesses affecting olive leaves has been improved with deep learning (DL).

Experience

Lecturer in the Department of Physics and Engineering Mathematics at Helwan University
Helwan University
2015 - 2016
Assistant Lecturer in the Mathematics Department at the German University in Cairo
German University in Cairo
2007 - 2016
Assistant Professor in the Department of Computer Science at Al-Jouf University
Jouf University
2016 - 2025
Teaching Assistant in the Department of Physics and Engineering Mathematics at Helwan University
Helwan University
2003 - 2009
Assistant Lecturer in the Department of Physics and Engineering Mathematics at Helwan University
Helwan University
2009 - 2015
Assistant Professor in the Department of Natural Sciences at the British University in Cairo
British University in Cairo
2015 - 2016

Education

M.A.
Menofia University - Faculty of Electronic Engineering, Menoufia
2009 - 2006
BA
Helwan University - Faculty of Engineering, Helwan
2001 - 1996
Ph.D.
Menofia University - Faculty of Electronic Engineering, Menoufia
2015 - 2010
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