Rabei Raad Ali -

Assist. Prof.

Rabei Raad Ali

Research Interests

Gender	MALE
Place of Work	Technical Engineering College for Computer and AI / Mosul
Position	Director of Technology Incubators and Ecosystem Unit
Qualification	Ph.D
Speciality	Information Technology
Email	rabei@ntu.edu.iq
Phone	07701685599
Address	AL Kindi, Mosul, Mosul, Iraq

Academic Links

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Biography

Dr. Rabei Raad Ali earned a B.Sc. degree in Computer Science from the College of Computer Science and Mathematics, University of Mosul, Iraq, in 2008. He obtained a master’s degree in computer science from the Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Malaysia, in 2012, followed by a Ph.D. in Information Tech-nology from Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia, in 2019. From 2013 to 2015, he served as a Lecturer at the University of Raparin, Sulaymaniyah, Iraq. He was a Visiting Assistant Professor in the Department of Computer Science and Engineering at the American University of Ras Al Khaimah (AURAK), United Arab Emirates, in 2021. He worked as a Research Assistant at the Department of Research, National University of Science and Technology (NUST), IRAQ, in 2022. He worked as a Research Assistant at the Department of Information Systems and Security, University United Arab Emirates (UAEU), in 2023. Currently, he holds the position of Assistant Professor at the Department of Computer Engineering Technology, Northern Technical University (NTU), Iraq.

1 +

The Best Paper Award SCDM-2020 Conference

1 +

Medal of Creativity and Academic Excellence

1 +

Top five researcher at the NTU 2023

Skills

Teaching (95%)

English Language (90%)

Writing (95%)

Readin (95%)

Software (90%)

working experience

Academic Qualification

Ph.D. Degree in Computer Science and Information Technology

Jul 1, 2015 - Sep 1, 2019

Information Technology

Master’s Degree in Computer Science and Information Technology

Jul 1, 2010 - Sep 1, 2012

Internetworking

Bachelor’s Degree in Computer Science and Mathematics

Sep 1, 2004 - Jul 1, 2008

Computer Science

Working Experience

Northern Technical University (NTU) [Assistant Professor]

Feb 22, 2023 - Present

United Arab Emirates University (UAEU) [Research Assistant]

May 1, 2023 - Sep 1, 2023

National University of Science and Technology (NUST) [Assistant Professor]

Oct 1, 2021 - Feb 7, 2023

American University of Ras Al Khaimah (AURAK) [Visiting Assistant Professor]

Dec 1, 2020 - Jul 1, 2021

Universiti Tun Hussein Onn Malaysia (UTHM) [Assistant Lecturer]

Feb 1, 2016 - Sep 1, 2019

University of Raparin (UoR) [Assistant Lecturer]

Sep 1, 2013 - Jun 1, 2015

Publications

Testing real-time system algorithms performance on synthetic Data: Analytical study of hard and soft system tasks

May 7, 2025

Journal Edelweiss Applied Science and Technology

publisher Learning Gate

DOI 10.55214/25768484.v9i5.6956

Issue 5

Volume 9

This study compares RMS, EDF, and LLF on synthetic datasets for hard and soft real-time systems to assess their feasibility and effectiveness in supporting real-time systems for various utilization levels. It has been designed to give each algorithm's various strengths, limits, and applicability in real-time application scenarios through total utilization computation and schedule-up-to-do ability analysis. It has been concluded that RMS is not schedulable due to its overutilization, while EDF is infeasible at Total > 1.0 for hard and soft real-time. LLF has limitations due to overutilization and frequent preemptions, making it suitable for soft real-time systems, unlike hard systems, because of the limitations of overutilization and frequent preemptions. RMS and EDF cannot meet deadlines under hard and soft real-time conditions. Future work should focus on hybrid algorithms or load balancing to overcome these limitations and process data in real time without tasks going beyond the time available to them in the CPU.

Rabei Raad Ali

1 +

The Best Paper Award SCDM-2020 Conference

1 +

Medal of Creativity and Academic Excellence

1 +

Top five researcher at the NTU 2023

Skills

Teaching (95%)

English Language (90%)

Writing (95%)

Readin (95%)

Software (90%)

Academic Qualification

Ph.D. Degree in Computer Science and Information Technology

Master’s Degree in Computer Science and Information Technology

Bachelor’s Degree in Computer Science and Mathematics

Working Experience

Northern Technical University (NTU) [Assistant Professor]

United Arab Emirates University (UAEU) [Research Assistant]

National University of Science and Technology (NUST) [Assistant Professor]

American University of Ras Al Khaimah (AURAK) [Visiting Assistant Professor]

Universiti Tun Hussein Onn Malaysia (UTHM) [Assistant Lecturer]

University of Raparin (UoR) [Assistant Lecturer]

Publications

Testing real-time system algorithms performance on synthetic Data: Analytical study of hard and soft system tasks

Enhancing MPEG-1 Video Quality Using Discrete Wavelet Transform (DWT) with Coefficient Factor and Gamma Adjustment

Enhancing university teaching and learning through integration of artificial intelligence in information and communication technology

Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50

Enhancing Logistics Transparency in Agro-Industry with Trust-Based ME-MCDM Decision Making

Delay tolerant data forwarding topology aware routing protocol for multi-UAVs empowered VANETs

A simulation-based approach to automating subnetting for network efficiency

Training of ICT for educational performance: A systematic review

FOOTBALL PLAYER TRACKING, TEAM ASSIGNMENT, AND SPEED ESTIMATION USING YOLOV5 AND OPTICAL FLOW

Multi-objective Optimization in Satellite-Assisted UAVs

Securing IoT through Intrusion Detection Systems: An Overview

A compensation of VANETs with UAVs to optimizing the routing strategy

Blockchain and IoTA Tangle for Healthcare Systems

Monitoring the processing and supply of clean drinking water using the hybrid gateway method based on the Internet of Things

A Predictive Analysis of IMDb Movie Reviews Using LSTM and ANN Models

VGG-16 Architecture on CNN For American Sign Language Classification

Classification of Red Wine Beverage Quality Using a Support Vector Machine Algorithm Based on Forward Selection as Feature Selection

AI-powered CRM in the post-COVID-19 pandemic

Comparison of densenet-121 and mobilenet for coral reef classification

Comparative Study of Machine Learning Algorithms for Performing Ham or Spam Classification in SMS

Data Mining Application Analyzing Customer Purchase Patterns Using The Apriori Algorithm

Intelligent Classification of JPEG files by Support Vector Machines with Content-based Feature Extraction

Testing data security using a vigenere cipher based on the QR code

Milkfish Freshness Classification Using Convolutional Neural Networks Based on Resnet50 Architecture

A meta-heuristic method for reassemble bifragmented intertwined JPEG image files in digital forensic investigation

TRUST MONITORING FRAMEWORK FOR EFFECTIVE COOPERATION IN SATELLITE ASSISTED UAVS ENABLED VANETS

Path Scheduling and Bandwidth Utilization for Urban Vehicular Adhoc Networks

Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs

High PSNR Using Fibonacci Sequences in Classical Cryptography and Steganography Using LSB

Javanese character recognition based on k-nearest neighbor and linear binary pattern features

Green Chili Quality Classification based on HSV Color Feature with SVM

A model for predicting entrepreneurship intentions based on social cognitive theory and entrepreneurship characteristics

CNN for Image Identification of Hiragana Based on Pattern Recognition Using CNN

A framework for analyzing the relationships between cancer patient satisfaction, nurse care, patient attitude, and nurse attitude in healthcare systems

RX_myKarve carving framework for reassembling complex fragmentations of JPEG images

Quality management practices of food manufacturers: a comparative study between small, medium and large companies in Malaysia

An analysis of imperceptibility and robustness performance in CRT image watermarking based on color space theory

Dual security method for digital image using HBV encryption and least significant bit steganography

A review of digital forensics methods for JPEG file carving

Extreme Learning Machine Classification of File Clusters for Evaluating Content-based Feature Vectors

Conferences

Analyzing the Effectiveness of Smartphone Applications on Disease Management and Healthcare Systems

A Chaotic Image Encryption Based on Random Noise and Arnold Cat Maps

A Classification Technique for Online Shoppers' Purchasing Intention

Analysing Technical and Economic Dimensions using AI Techniques

Design and implement a sustainable wireless smart home based on iot

Federated Learning for Real-Time State Estimation and Dynamic Phasor Analysis in Wide-Area Power Grids

Research on Corporate Protection Systems using Advanced Protection Techniques and Information Security

Integrating NLP in the Business Decision Support System to Promote Customer Loyalty

Connectivity Aware Energy Efficient Routing Protocol for UAVs Assisted Vehicular Ad-Hoc Networks

The Effect of Vehicles Speed on the Performance of VANET Protocol

Delay Tolerant and Multipath Reliability for Energy Efficient Heterogeneous VANETs Network

The role of service-oriented human-computer interaction of Low-resource, high-efficiency public transit systems

Javanese Script Single Letters Classification using GoogLeNet Architecture and Adam Optimizer Based on Convolutional Neural Networks (CNN)

A Comparison of Multi Class Support Vector Machine vs Deep Convolutional Neural Network for Brain Tumor Classification