Ghaith M. Jaradat
Associate Professor
Ghaith M. Jaradat is an Associate Professor in the Department of Computer Science. His research interests are mainly directed to Metaheuristics and Combinatorial Optimization Problems [including Educational Timetabling, Vehicle Routing, Quadratic Assignment, and Nurse Rostering]. He is also interested in Deep Learning Applications [such as Natural Language Processing for text classification and summarization e.g., Sentiment Analysis, and Discourse Analysis]. He received his PhD in Combinatorial Optimization - Computer Science from the National University of Malaysia in April 2012. He has published a number of high-quality research papers in international journals and conferences.
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- Metaheuristics
- Combinatorial Optimization
- Operations Research
- Machine Learning
- Deep Learning
- Algorithms Design and Analaysis (C++)
- Data Structures & File Systems (C++)
- Operations Research (Matlab, Excel, LINGO, LINDO)
- Artificial Intelligence (PROLOG, JAVA)
- Data Mining (WEKA)
- Data Warehouse (MS Power BI, SAS, BigQeury, MongoDB)
- Simulation Models (Matlab)
- Decision Support Systems
- Programming Fundamentals (C++)
- Advanced Programming Languages (Python)
- Object Oriented Programming (C++, Java)
- Advanced Object Oriented Programming (JAVA)
- Web Programming (HTML, JavaScript, ASP.Net, C#, VB.net, JQuery, AJAX, PHP, XAMPP)
- Visual Programming (VB.Net, C#)
- Discrete Matehmatics
- Digital Logic Design (Logisim)
- Computer Organization & Architecture (MythSim, MARS, Assembly Language)
- Database Management Systems (SQL, Oracle VM, UML)
- Database Programming (SQL, ASP.Net, C#)
- Operating Systems (C, C++, Windows, Linux)
- Computer Graphics (C++, OpenGL, GLUT)
- Computer Networks (Packet Tracer)
- Network Management and Security (Packet Tracer)
- Machine Learning (Python, Tensor Flow, Sikit Learn)
- Expert Systems
- Advanced Image Processing (Matlab, Python)
- Advanced Operating Systems (Shell Scripting, C, C++, Linux, UNIX, Windows Server)
- Advanced Algorithms (C++, Python)
- Statistics and Research Methodologies (IBM SPSS, EndNote)
- Advanced Networks (Packet Tracer, Python)
الاسـم: د. غيث جرادات | البريد الالكتروني: g.jaradat@aau.edu.jo |
القسم: علم الحاسوب وأنظمة المعلومات | |
الجـــدول الدراسي للفصل الاول 2022/2023
اليوم | 8 – 11 | 11 – 2 | 2 – 3.5 | 5 - 8 |
السبت | استرجاع وبحث وتصوير المعلومات | ساعة مكتبية | -- | -- |
اليوم | 8:30 - 10 | 10 – 11:30 | 11:30 - 1 | 1 – 2:30 | 4 - 7 |
الاحد | ساعة مكتبية | -- | -- | -- | -- |
الاثنين | -- | -- | -- | ساعة مكتبية | -- |
الثلاثاء | ساعة مكتبية | -- | -- | -- | شبكات الحاسوب متقدمة |
الاربعاء | -- | -- | -- | ساعة مكتبية | -- |
See The attached Resume.
للانضمام الى مجموعة الإرشاد الاكاديمي على تطبيق واتس اب اضغط على الرابط التالي
https://chat.whatsapp.com/GtFK89223Qs76CZccVOs8s
او صور ال (QRcode)
- BSc Internship
- MSc [Supervision]:
- Ali Al-Hanaqtah [Detection of Botnet Using Intelligent Water Drop (IWD) algorithm with Hopfield Neural Network]
- Murad Abu-Zeitoon [A hybrid SVM-Word for Sentiment Analysis of Jordanian Banking Apps Reviews]
- Haitham Al-Manaseer [Cardiovascular Disease Prediction Using Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm based Features Selection]
- Baha' Al-Masri [Sperm Swarm Optimization Algorithm for Intrusion Detection System in Wireless Sensor Networks]
- Anas Kashmoolah [The effect of pre-processing on convolutional neural network model for dorsal hand vein recognition]
- Ahlam Salahat [Kidney Disease Prediction Using Elitist-Ant System Algorithm with Multilayer PerceptronNeural Network]
- Tareq Alsallaq [Diabetes Prediction Using Multilayer Perceptron Neural Network with Arithmetic and Memetic Algorithms based on Features Selection]
- Ahmad Alhadabb [Sentiment analysis for Jordanian dialect using memetic algorithm and SVM classifier]
- Rasha Israwah [An Enhanced Intrusion Detection System Using Scatter Search Algorithm with Support Vestor Machine]
- Saif Najdawi [Cyberbullying Activity Detection Over social media using Deep Learning Techniques]
- MSc [Examiner]:
- Sentiment Analysis for Arabic Call Center Notes Using Support Vector Machine and Neural Networks: A Case Study of Jordanian Dialect
- A LIGHTWEIGHT COMPUTATIONAL NEURAL NETWORK MODEL FOR DETECTING AND CLASSIFYING LEUKEMIA
- Handwritten Arabic Alphabet Recognition Using a Combination of Support Vector Machine and Neural Network
- PREDICTION OF MISSING DATA TECHNIQUE TO IMPROVE BIG DATA CLASSIFICATION
- The effect of the number of clusters on k-means performance
- Propose new quality model for children mobile learning applications
- Propose a Quality Model of Technical Aspects for Mobile Government Services: Case Study SANAD Application
- Propose A Model For Elicitation Nonfunctional Requirements In Agile Methods
- Proposing a New Quality Model for the Applications of the Internet Of Things: Smart Cities as a Case Study
- Utilizing Mining Techniques in Drug Target Interaction
- BSc [Graduation Project]:
- E-Teacher
- We Care
- Streamlined Content Management and E-invoicing with JOFOTARA Integration
- ق.أ. رئيس قسم علم الحاسوب وأنظمة المعلومات
- لجنة اعداد تقرير التقييم الذاتي للكلية (لمتطلبات الحصول على شهادة ضمان الجودة الوطنية)
- لجنة شؤون الطلبة (و الارشاد الاكاديمي)
- لجنة الترقية
- لجنة الخطة الاستراتيجية
- لجنة تطوير و تأهيل المدرسين
- لجنة البحث العلمي
- لجنة ادارة المخاطر
- لجنة الامتحان الشامل لطلبة الدراسات العليا