العربية Providing a distinguished educational and research services in the fields of information technology and graphic design and multimedia, in a way that contributes to enhancing and improving levels of compliance with national and international standards, through quality academic programs, specialized teaching staff, an excellent educational environment, and an effective partnership in order to achieve good practices in the information technology disciplines at the national level.
To be one of the leading electronics engineering departments locally and distinguished regionally.
- Providing students with the necessary knowledge, theoretical competencies, and applied practical skills in the fields of information technology and graphic design and multimedia.
- Preparing qualified graduates specialized in professions related to analyzing, designing, developing, operating, managing, monitoring and examining systems and software in institutions and companies.
- Enabling students to adapt to the rapid future developments in the fields of information technology and graphic design by providing them with solid foundations in the concepts, principles, methods and methodologies of this type of education.
- Preparing students to serve their communities, whether they are individuals, groups or institutions in the various computing and design fields.
- Enable students to develop research skills, teamwork, problem-solving, professional advancement, and lifelong independent learning.
- 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
1. Artificial Intelligence and Machine Learning (AI & Machine Learning)
- Algorithm Development: Enhancing machine capabilities in decision‑making and prediction.
- Explainable AI: Making AI decisions transparent and understandable to humans.
- Smart Healthcare: Employing AI for early diagnosis and drug discovery.
2. Cybersecurity and Privacy (Cybersecurity)
- Supply Chain Security: Protecting data from breaches across manufacturing and logistics operations.
- Quantum Cryptography: Developing robust encryption methods resistant to quantum‑computing attacks.
- IoT Security: Safeguarding internet‑connected home and medical devices.
3. Data Science and Big Data (Data Science & Big Data)
This field focuses on extracting value from massive datasets:
- Sentiment Analysis: Understanding public opinion trends across social media platforms.
- Predictive Analytics: Forecasting financial crises or the spread of epidemics.
- Geospatial Data: Using data analytics to enhance traffic flow and urban planning.
4. Internet of Things and Smart Cities (IoT & Smart Cities)
Research in this domain bridges the physical and digital worlds:
- Intelligent Transportation Systems: Autonomous vehicles and automated traffic coordination.
- Energy Management: Reducing electricity consumption in buildings through intelligent systems.
5. Software Engineering and Systems (Software Engineering)
Advancing methodologies to improve software efficiency:
- Agile and DevOps Methodologies: Enhancing software delivery speed and quality.
- Human–Computer Interaction (HCI): Designing more accessible and user‑friendly interfaces, including for people with disabilities.
6. Cloud and Edge Computing (Cloud & Edge Computing)
- Latency Reduction: Processing data near its source (on‑device) instead of transmitting it entirely to the cloud.
- Data Center Sustainability: Reducing energy consumption in large‑scale cloud infrastructures.
| Project Title | Supervisor | Academic Year |
|---|---|---|
| Smart Application for Enhancing Agricultural Pest and Disease Control and Improving Productivity | Dr. Waleed Shahir | 2024/2025 |
| Mobile Application for Teaching Yemeni Sign Language | Dr. Widad Al‑Sarouri | 2024/2025 |
| Professional Social Networking Application (Job Tag) | Mr. Hassan Abdul‑Raqeeb Asaad | 2024/2025 |
| Chatbot for Responding to Customer Inquiries | Dr. Sadiq Al‑Taweel | 2024/2025 |
| HR System for Small and Medium Enterprises | Mr. Mohammed Al‑Souti | 2024/2025 |
| Attendance Management Accelerator | Dr. Ameera Al‑Adeemi | 2024/2025 |
| Creative Projects Funding | Mr. Ahmed Fouad | 2024/2025 |
| Analysis of Vulnerabilities in Web-Based Financial Applications Using Artificial Intelligence Models | Prof. Bilal Al‑Faheedi | 2024/2025 |
| Parcel Management System | Dr. Nabil Al‑Mokhallafi | 2024/2025 |
| CAYMA E‑Learning Student Service | Prof. Ammar Al‑Zuhairi | 2023/2024 |
| Electricity Bill Payment System via Smart Cards | Dr. Wadea Al‑Qubati | 2023/2024 |
| Crime Activities Detection System in Surveillance Videos Using Deep Learning | Prof. Abdullah Al‑Hashidi | 2023/2024 |
| “Khadamtak Lebeytak” Home Services Platform Application | Prof. Abdul‑Latif Ghallab | 2023/2024 |
| RECOGnizer: Object Recognition Application Using YOLO Algorithm | Prof. Bilal Al‑Faheedi | 2023/2024 |
| Electronic Market Platform for Supplier Offers and Retailer Product Orders | Prof. Abdul‑Latif Ghallab | 2023/2024 |
| “Ezar” Online Sewing Application | Dr. Waleed Shahir | 2023/2024 |
2026 Research (Scheduled / In Press)
- Generative Adversarial Networks for Visual Content: A Comprehensive Review Sana’a University Journal
- A Systematic Literature Review of Factors Influencing the Adoption of GRP System Sana’a University Journal
2025 Research
- Cited (5) Comparative Analysis of Machine Learning and Deep learning Techniques for Early Prediction of Breast Cancer
- Cited (4) Threat to trust: A systematic review on Internet of Medical Things security Journal of Parallel and Distributed Computing
- Cited (1) Machine learning techniques for early detection and diagnosis of breast cancer prediction
- Multi-Objective Clustering Model for Named Data Networking in MANETs IEEE Access
- Enhancing University Admissions through Scalable and Fair Machine Learning Models
- SDN and NFV: A State-of-the-Art Comparative Study of Architectures
- A Usability Evaluation of MOODLE-LMS from the Student Perspective
- A Conceptual Blockchain Architecture for 6G CR-IoT Networks
- Fog computing adoption for higher education institutions: Multi-analytical SEM & ANN
2024 Research
- Cited (133) Blockchain-IoT healthcare applications and trends: A review IEEE Access
- Cited (21) A systematic mapping study of UAV-enabled mobile edge computing for task offloading
- Cited (20) Machine Learning for Intrusion Detection in Vehicular Ad-hoc Networks (VANETs)
- Cited (16) Computational offloading into UAV swarm networks: a systematic literature review
- Cited (15) A survey on advancements in blockchain-enabled spectrum access security for 6G
- Cited (3) Business Intelligence Systems Adoption: A Systematic Literature Review
- Cited (1) Embedding Virtual and Augmented Reality in Higher Education in Yemeni Universities
2023 Research
- Cited (37) State-of-the-art device-to-device communication solutions IEEE Access
- Cited (5) A Comparative Study for Pneumonia Diagnosis Using Deep Learning
- Cited (4) Covert Channel Detection and Generation Techniques: A Survey
- Secured Cloud APIs Using Activity Analyzer
2022 Research
- Cited (51) Complexity analysis of EEG in patients with social anxiety disorder
- Cited (19) An optimized algorithm for resource allocation for D2D in heterogeneous networks
- Cited (17) Offloading decision making in mobile edge computing: A survey
- Cited (10) A survey on mobile payment applications and adopted theoretical models
2021 Research
- Cited (129) A survey of IoT and blockchain integration: security perspective
- Cited (21) Computation offloading algorithms in vehicular edge computing environment
- Cited (12) Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship
- Cited (7) Edge-based Anomaly Data Detection Approach for WSN-IoT
Pre-2020 Research
- 2019 • Cited 179 The Internet of Things (IoT): a survey of techniques, operating systems, and trends
- 2019 • Cited 48 An in-networking double-layered data reduction for IoT
- 2018 • Cited 81 Survey on Intrusion Detection System Types
- 2013 • Cited 21 Region-based facial expression recognition in still images
- 2007 • Cited 41 Analytical study to detect threshold number of routes in AODV
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