Providing a distinguished educational and research services in the fields of computer science, cybersecurity and networks, software engineering, and artificial intelligence, in a way that contributes to enhancing and improving levels of compliance with national and international computing standards, through quality academic programs, specialized teaching staff, an excellent educational environment, and an effective partnership in order to achieve good practices in the computing disciplines at the national level.

To be one of the leading electronics engineering departments locally and distinguished regionally.

  1. Provide students with knowledge, skills, and ethics related to electronic engineering specializations.
  2. Conduct research and studies of scientific value that have an applied nature in electronic engineering disciplines.
  3. Prepare qualified engineers who can apply engineering sciences and methods in the labor market, and make decisions and deal with crises.
  4. Develop curricula, and scientific and practical requirements periodically to ensure following rapid changes and in harmony with the labor market requirements.
  5. Exchange scientific and training experiences with similar institutions, organizations, and centers.
  6. Implement mechanisms that ensure the quality of the educational process to obtain accreditation for the academic programs offered by the department.
  7. Develop the academic and professional skills of the academic staff.
  8. Provide technical and scientific consultations to all governmental and private sectors of society.
  • The first bachelor’s program in Yemen specializing in Computer Engineering and Intelligent Systems.
  • Highly qualified and dedicated academic and technical staff.
  • Modern and advanced laboratories and workshops.
  • Comprehensive infrastructure and conducive learning environment.
  • Outstanding student activities and services.
  • A contemporary curriculum aligned with accreditation standards and labor market needs.
  • Practical training opportunities in leading companies and institutions.
  • International professional certifications, such as Cisco Academy certification.
  • Access to specialized diplomas and training courses tailored to market requirements.

Academic Programs

Scientific research

Introduction

The Department of Computer Science offers an advanced research environment aligned with global trends in computing, emphasizing original research with scientific and practical impact across artificial intelligence, intelligent systems, cybersecurity, networks, software engineering, and data science. The department’s research interests are organized into the following tracks:

First: Artificial Intelligence and Data Science Track

This track focuses on developing intelligent models and algorithms capable of extracting knowledge from data and building systems that learn and make decisions.
It includes the following areas:
  • Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision
  • Explainable Artificial Intelligence (XAI)
  • Natural Language Processing and Sentiment Analysis
  • Data Science and its Applications
  • Medical Artificial Intelligence and Healthcare Machine Learning

Second: Cybersecurity and Distributed Systems Track

This track centers on safeguarding digital infrastructures and securing intelligent systems, while developing advanced solutions to modern cyber threats.
It includes the following areas:
  • Cybersecurity and Malware Detection
  • Internet of Things (IoT) Security
  • Edge Computing and Cloud Computing
  • Interconnected and Distributed Systems

Third: Intelligent Networks and Communication Systems Track

This track examines the design, analysis, and performance optimization of modern communication networks, ensuring quality of service and efficient data transmission.
It includes the following areas:
  • Wireless Networks and Sensor Networks (WSN)
  • Coverage Optimization and Energy Efficiency
  • Traffic Engineering
  • Quality of Service and MPLS/TCP Protocols

Fourth: Software Engineering and Quality Assurance Track

This track focuses on developing reliable, high‑quality software and improving testing and verification processes to ensure sustainability and efficiency.
It includes the following areas:
  • Software Engineering
  • Test Quality and Test Smell Analysis
  • Systematic Mapping Studies
  • Software Process Improvement and Quality Assurance

Fifth: Applied Computing and Mathematical Modeling Track

This track is concerned with developing mathematical and computational models to analyze complex systems and study network structures.
It includes the following areas:
  • Applied Mathematics
  • Graph Theory
  • Topological Indices and Their Applications

Sixth: Educational Technology and Digital Transformation Track

This track addresses the development of intelligent learning environments and the integration of modern technologies to support digital transformation in education.
It includes the following areas:
  • E‑Learning
  • Augmented and Virtual Reality Applications (AR/VR)
  • Intelligent Educational Systems

Computer Science Department Facilities

Advanced Technical Infrastructure & Smart Learning Environments

The Faculty of Computing and Information Technology provides a world-class technical ecosystem. Our facilities are meticulously designed to foster innovation, academic excellence, and hands-on technical proficiency.

1. Smart Classrooms

Our lecture halls are integrated with state-of-the-art interactive displays and High-Resolution visual systems. Each hall features optimized acoustics and climate control to ensure an ideal atmosphere for student focus and learning.


2. General Computer Laboratories

We provide multiple high-spec computer labs housing high-performance workstations. These labs are updated with the latest industry-standard software and operating systems to support students across all specializations.

Smart Lecture Hall
General Lab
Modern Lecture Theaters and General Computing Facilities

Advanced Research & Specialized Labs

• AI & Machine Learning Labs

Powered by high-end GPU processing units, these labs support complex computations for Data Science, Artificial Intelligence, and Computer Vision projects.

• Cisco Networking & Cybersecurity Labs

Equipped with professional-grade Cisco routers and switches, providing a sandbox for network architecture and digital security training.

Specialized Computing
High-Performance Computing & Specialized Infrastructure

3. Grand Seminar & Defense Hall

A prestigious venue dedicated to scientific discussions, thesis defenses, and international seminars. The hall is equipped with high-fidelity audio systems to host major academic events and competitions.


4. Digital Library & Shared Facilities

Our infrastructure includes a modern digital library with global database access, specialized faculty consulting offices, and campus-wide amenities including sports halls and green student areas.

Seminar Hall Technical Hub
Academic Support Systems and Student Amenities
CS Department Graduation Projects 2025-2026

Graduation Projects Registry

Computer Science Department | Academic Year 2025 – 2026
💻 Software Engineering (SWE)
Project Title Students Supervisor
"Heba" Charity Project Application
  • Mohammed Daifallah Omran
  • Abdullah Abdullatif
  • Hakim Ali
  • Asem Taleb
Prof. Abdullah Al-Hashedi
Purchase Behavior Analysis & Product Recommendation
  • Younis Al-Shammaa
  • Sami Shareb
  • Suhaib Al-Akhram
  • Khalid Al-Sanhani
Online Platform for Personal Skills Development
  • Anisa Al-Khulaidi
  • Asmaa Nashtan
  • Yasmin Khalid
  • Khawla Nashtan
Prof. Abdullatif Ghallab
Watheeq (Document/Archive System)
  • Reem Al-Dhabhani
  • Atheer Abdulsalam
  • Hala Marouf
  • Fatima Jamal
Dr. Nusaiba Maqtari
Intelligent MS Diagnosis System via Radiographic Imaging
  • Bara'a Shaalan
  • Maram Al-Wassabi
  • Tawaddud Abdullah
  • Asmaa Hadi
Dr. Sadiq Al-Tawil
🛡️ Cybersecurity & Networks (CYN)
Project Title Students Supervisor
Automating Incident Response using SIEM & SOAR
  • Sarah Faisal Saleh
  • Nouf Fouad Abbad
  • Sundus Moaz Al-Sharai
  • Zahra Essam Al-Mazjaji
Prof. Bilal Al-Fahaidy
Malware Analysis Framework
  • Mohammed Al-Dailami
  • Anas Mohammed Al-Abdullah
  • Amjad Al-Anqazi
  • Al-Khader Hussein Al-Masadi
Prof. Mohammed Al-Sharjabi
Advanced Phishing Detection using NLP
  • Khadija Abdulsalam Al-Tuhaif
  • Fatima Abdulwahab Al-Tuhaif
  • Ghadeer Hameed Al-Tuhaif
Prof. Mohammed Al-Sharjabi
Intelligent IDS using Machine Learning
  • Hashem Noureddine Al-Nasser
  • Mohammed Al-Makhadhi
  • Abdulmajeed Al-Seri
Prof. Farouq Al-Fahaidy
Integration for OTX & MITRE ATT&CK (CTI-BERT)
  • Shaimaa Hazabr
  • Ghada Al-Dahiri
  • Etab Al-Hammadi
  • Sonia Al-Jami
Aisha Al-Hadam

© 2026 Faculty of Computing & IT | Department of Computer Science

Information valid for the current academic cycle.

Scientific Research Archive – 2025

Faculty of Computing & IT | Full List of Published Articles (13 Publications)


🧠 AI, Deep Learning & Medical Informatics

  1. Comparative analysis of machine learning and deep learning techniques for early prediction of breast cancer Al-Duais, M., et al. | Journal of Future AI and Technologies | [DOI]

  2. Machine learning techniques for early detection and diagnosis of breast cancer prediction Al-Duais, M., et al. | The Indonesian Journal of Computer Science | [DOI]

  3. Simplified deep neural network models for cardiovascular disease classification Al-Fahaidy, F. A. K., et al. | Applied Computational Intelligence and Soft Computing | [DOI]

  4. Analysis of time-fractional cancer-tumor immunotherapy model using modified He-Laplace algorithm Qayyum, M., et al. | Scientific Reports | [DOI]

  5. Numerical simulations of blood flow in a stenosed artery using a multi-criteria decision-making algorithm Umar, M., et al. | Scientific Reports | [DOI]


🌐 IoT, Networks & Cybersecurity

  1. Image-based IoT malware detection using chi-square and CNN Al-Musawi, M. H., et al. | Iraqi Journal of ICT | [DOI]

  2. Efficient coverage of sensors in a WSN using a modified hybrid PSO and ALO algorithms Abdullah, J. S., et al. | Iraqi Journal of ICT | [DOI]


➗ Mathematical Modeling & Computational Sciences

  1. ANN-based analysis of MHD third-grade hybrid nanofluid flow over a thin needle… Siddique, I., et al. | Scientific Reports | [DOI]

  2. Evaluation of food waste treatment techniques using aczel alsina based MAGDM model… Zulqarnain, R. M., et al. | Scientific Reports | [DOI]

  3. Topological and hyper topological coindices of benzenoid circumcoronene series Yousef, W., et al. | Baghdad Science Journal | [DOI]

  4. Exploration of soliton dynamics and chaos in the Landau-Ginzburg-Higgs equation… Bukht Mehdi, K., et al. | Journal of Nonlinear Mathematical Physics | [DOI]


🎓 E-Education & Academic Performance

  1. A Usability Evaluation of MOODLE-LMS from the Student Perspective Ali, G. A., et al. | IEEE IC4E 2025 | [DOI]

  2. The Impact of Using Social Media in Learning on Academic Performance… Al-Hashedi, A. H., et al. | USTJET Journal | [DOI]


Research Integrity 2025 | Faculty of Computing & IT

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