ماجستير هندسة تقنيات الحاسبات -الجامعة التقنية الشمالية-الكلية التقنية الهندسية/الموصل

Nov 20, 2020 - Nov 8, 2022

ركز بحث الدراسة على( تصميم وتنفيذ نموذج نظام أمني للتحكم في سرعة السيارة) النظام المصمم لديه القدرة على التحكم في نافذة السائق وأبواب المركبة وتشغيل مضخة الوقود واطفائها ونقل الصور ومقاطع الفيديو الملتقطة داخل السيارة كما اتاح النظام لأصحاب المركبات التحكم في مضخة البنزين عبر الرسائل القصيرة.اكتشاف وتتبع أي حركة داخل السيارة من أي مكان وفي أي وقت. بالإضافة إلى إمكانية الاتصال بالأقارب أو بالشرطة في حالة الطوارئ.وعمل النظام على منع سرقة المركبات وتقليل عدد الحوادث وإنقاذ حياة الركاب كما يمكن تطبيق النظام على سيارات الإسعاف وعربات الإطفاء وسيارات البنوك وناقلات النفط وغيرها من المركبات العامة والخاصة. و تم تصميم تطبيق على الهاتف المحمول للتحكم في النظام المبني داخل المركبة باستخدام Node-RED Platform وبرمجته بلغة بايثون واستخدامه للتحكم بالمركبة بنجاح.

بكالوريوس هندسة تقنيات الحاسبات-هيئة التعليم التقني-الكلية التقنية الهندسية/الموصل

Nov 2, 2003 - Jun 30, 2007

Master of Computer Engineering Technology - Northern Technical University - Engineering Technical College / Mosul

Nov 20, 2020 - Nov 8, 2022

The research focused on (designing and implementing a model of a security system to control vehicle speed). The designed system has the ability to control the driver's window and vehicle doors, turn the fuel pump on and off, and transmit images and video clips captured inside the vehicle. The system also allows vehicle owners to control the fuel pump via SMS. It detects and tracks any movement inside the vehicle from anywhere, at any time. In addition, it can contact relatives or the police in case of an emergency. The system prevents vehicle theft, reduces the number of accidents, and saves the lives of passengers. The system can also be applied to ambulances, fire trucks, bank cars, oil tankers, and other public and private vehicles. A mobile application was designed to control the system built inside the vehicle using the Node-RED Platform and programmed in Python. It was successfully used to control the vehicle.

Bachelor of Computer Engineering Technology - Technical Education Authority-Technical Engineering College-Mosul

Nov 2, 2003 - Jun 30, 2007

مركز الحاسبة الالكترونية [مسؤولة وحدة الموقع الالكتروني -الكلية التقنية الهندسية /الموصل]

Nov 28, 2022 - Jul 23, 2024

ا

شعبة تقنيات المعلومات [مسؤولة وحدة الموقع الالكتروني -الكلية التقنية الهندسية للحاسوب والذكاء الاصطناعي /الموصل]

Sep 23, 2024 - Present

ا

Computer Center [Responsible of Website Unit - Technical Engineering College / Mosul]

Nov 28, 2022 - Jul 23, 2024

.

Information Technology Division [Responsible of Website Unit - Technical Engineering College for Computer and AI / Mosul]

Sep 23, 2024 - Present

.

Bone Fracture Detection Using Hybrid EfficientNet-B0 and ResNet50 with SVM: A Comparative Performance Analysis

Jul 31, 2025

Journal Ingénierie des Systèmes d’Information

publisher Mahmood Hameed Qahtan* | Areej Mahmoud Asaad | Ahmed Kh. Younis

DOI DOI: https://doi.org/10.18280/isi.300710

Issue 7

Volume 30

The accurate identification of osseous fractures is crucial for precise medical diagnoses and treatment planning. This study introduces a new hybrid classification approach, integrating EfficientNet-B0 and ResNet50 deep learning models with an SVM classifier, surpassing traditional versions. Leveraging pre-trained feature extractors for EfficientNet-B0 and ResNet50, the proposed method achieves a test accuracy of 98.01% and a recall of 0.99 for fractured cases with EfficientNet-B0+SVM, while reducing runtime to 20.44 minutes. ResNet50 + SVM also improved accuracy from 80.05% to 96.41% with a runtime of 38.47 minutes, compared to 83.96 minutes standalone. This hybrid approach demonstrates significant enhancements in accuracy and efficiency, positioning it as a promising tool for clinical bone fracture detection.

Read Publication

Design and Implementation of a vehicle tracking system (VTS) based on Raspberry pi 4 and Node-RED app

Sep 1, 2022

Journal NeuroQuantology

publisher Thair Ali Salih, Areej Mahmoud Asaad

DOI DOI: 10.14704/nq.2022.20.10.NQ55954

Issue Issue 10

Volume Volume 20

One of the biggest problems the entire globe is currently experiencing is insecurity, with each nation dealing with unique security dilemmas. The overall crime rate in today's civilization has developed into a dangerous problem. Auto theft has become a serious issue, mostly occurring in parking lots or at gunpoint. A vehicle tracking system (VTS) is very important to locate the vehicle's location from anywhere at any time. This study attempts to develop a vehicle tracking system employing numerous tiny, low-power, and inexpensive components in comparison to the cost of the vehicle. The suggested system in this paper helps vehicle owners communicate with their vehicles and control the fuel pump.They also track their vehicles from anywhere at any time and can detect any movement within them. In addition to the possibility of contacting family members or the police in emergency cases. An effective system based on the Raspberry Pi 4, GSM800L, GPS NEO-6MV2, and PIR sensor has been implemented and tested. There are several commands that were implemented, such as controlling the fuel pump, tracking the location of the car in real-time, detecting movement inside the car, as well as a push button is presseda phone call is dialed to a relative. . These commands are controlled by the NodeRed App (Nick O'Leary and Dave Conway-Jones-Rapid Event Developer) with a variety of options managed from the vehicle owner's mobile phone.

Read Publication

Design and Implementation of Anti-Theft Speed Control System Using Wi-Fi and Raspberry Pi 4 Technology

Jun 20, 2022

Journal Open Access Library Journal

publisher Thair A. Salih, Areej M. Asaad

DOI https://doi.org/10.4236/oalib.1108882

Issue ISSN Online: 2333-9721 ISSN Print: 2333-9705

Volume Volume 9

Today the rate of vehicle theft is very high. For this reason, vehicle security systems have become one of the main requirements for vehicle users. As the frequency of accidents increases due to traffic jams, the safety of the vehicle is of paramount importance to the vehicle owner. The cost of the anti-theft systems is also expensive; hence an ffective alternative is needed. This paper aims to build a vehicle safety system by using various small-size, low-power, and low-cost devices compared with the vehicle price. The proposed system helps users by controlling the vehicle’s speed, as well as opening and closing the vehicle doors and the driver’s window and controlling the fuel pump, in addition to transferring photos and videos from inside the vehicle through a simple application. An anti-theft system based on a Wi-Fi modem and Raspberry Pi 4 Model has been implemented and tested in a modern vehicle where the vehicle’s speed was controlled via Raspberry Pi 4B Kit with MICRO SERVO SG90 and potentiometer. Relays were used to manage the vehicle doors, driver’s window, and fuel pump. Live photos will be taken from the camera installed inside the vehicle. The proposed system is controlled by creating a driver application with various options using Node-Red (Nick O’Leary and Dave Conway-Jones-Rapid Event Developer), which is controlled on the driver’s mobile phone.

Read Publication