The Department of Software Engineering places great emphasis on advancing scientific research, fostering innovation, and developing modern technologies in alignment with Saudi Vision 2030 and the National Transformation Program. The department hosts a variety of research laboratories and scientific initiatives that provide a stimulating environment for researchers and students to execute pioneering projects that serve the community and contribute to knowledge development.
Research Laboratories
The research interests of faculty members and students are distributed across several specialized research laboratories designed to support education, training, and the production of impactful scientific research at both national and global levels.
1) Cybersecurity and Digital Forensics Laboratory
Overview
A specialized laboratory focused on the study of security vulnerabilities, malware analysis, intrusion detection systems, and techniques in digital forensics and incident response.
Research Areas
- Network intrusion detection and prevention systems
- Malware analysis and anti-obfuscation techniques
- Secure software development and secure coding practices
- Cryptography, security algorithms, and their applications
- Cyber threat intelligence and monitoring advanced attacks
- Digital forensics and cybersecurity incident response
Tools and Equipment
- Virtualized penetration testing environments
- Security Information and Event Management (SIEM) systems
- Network and packet analysis tools (Wireshark, Zeek)
- Reverse engineering tools (Ghidra, IDA Free)
- Secure coding training and vulnerability testing environments
Student Opportunities
- Developing advanced graduation projects in cybersecurity
- Joining research projects as assistants
- Participation in cybersecurity competitions (CTF challenges)
Hands-on training with real-world cybersecurity datasets
2) Artificial Intelligence and Machine Learning Laboratory
Overview
A research laboratory aimed at developing deep learning models and intelligent systems capable of processing and analyzing data to build innovative solutions across various application domains.
Research Areas
- Deep learning (CNNs, RNNs, Transformers)
- Computer vision for image and video analysis
- Natural language processing (Arabic and English)
- Reinforcement learning and autonomous systems
- Multimodal learning (images, text, structured data)
- Data analytics, prediction, and data-driven decision-making
Tools and Equipment
- GPU-powered workstations
- AI frameworks such as TensorFlow and PyTorch
- High-performance computing and cloud environments
- Specialized and open-source datasets
- Robotics and intelligent systems tools
Student Opportunities
- Participation in AI-related research projects
- Graduation projects based on deep learning and analytics
- Participation in AI competitions locally and internationally
Developing AI applications for education, healthcare, and other sectors
3) Software Engineering and Innovation Laboratory
Overview
A collaborative space applying modern software engineering methodologies to develop high-quality software solutions that meet community and market needs.
Research Areas
- Software design and architecture
- Software testing, quality assurance, and reliability
- Requirements engineering and system analysis
- Agile, DevOps, and CI/CD practices
- Cloud-based systems and microservices
Tools and Equipment
- Version control platforms (Git, GitHub, GitLab)
- CI/CD pipelines
- Automated testing tools
- Modeling tools (UML) and CASE tools
Student Opportunities
- Graduation projects following software engineering best practices
- Collaboration with industry and government entities
- Training on modern software tools and technologies
Developing software products for incubation and commercialization
4) Robotics, Internet of Things, and Intelligent Systems Laboratory
Overview
A multidisciplinary laboratory combining software engineering, embedded systems, IoT, and robotics to develop smart solutions across multiple sectors.
Research Areas
- IoT system design and sensor networks
- Robotics and soft robotics (medical applications)
- Smart healthcare and remote monitoring systems
- Embedded systems and device control
- Cloud–IoT integration
Tools and Equipment
- Arduino, ESP32, and Raspberry Pi kits
- A variety of sensors and actuators
- Robotic arms and soft robotics prototypes
- Real-time monitoring dashboards
Student Opportunities
- Building innovative IoT prototypes
- Collaboration with healthcare and industrial sectors
- Participation in hackathons and innovation competitions
Developing applied graduation projects that serve the community
1) Multimodal Artificial Intelligence System for Early Cancer Detection
A project focused on developing deep learning models that analyze radiological and histopathological images to assist in early detection of common types of cancer (breast, lung, and colon), contributing to improved healthcare outcomes and digital health transformation.
2) Smart Agriculture System Based on the Internet of Things
A project aimed at developing intelligent greenhouse systems equipped with sensors to monitor humidity, temperature, and soil moisture, supported by autonomous control to improve water efficiency and boost agricultural productivity.
3) Cyber Threat Intelligence for Saudi Organizations
This project focuses on building advanced models to analyze network traffic, detect cyber-attacks, classify them, and predict future threats, thus supporting the protection of digital infrastructure for educational institutions, government agencies, and private companies.
4) Software Testing and Reliability Measurement Framework
A project aimed at developing a comprehensive framework for automated software testing and reliability measurement to help organizations reduce software errors and improve system performance.
5) Smart Campus Systems at Jouf University
A project focused on developing smart digital solutions including automated attendance systems, energy monitoring, smart laboratories, and digital maps, contributing to enhancing the student experience and supporting the transition to a smart campus.
6) Arabic Language Processing Projects
A set of projects focused on developing AI models for the Arabic language, including sentiment analysis, question-answering systems, educational chatbots, and automated text correction—supporting the development of high-quality Arabic digital content.
Student Research and Project Showcase
The department highlights outstanding graduation projects and student research through:
- Research summaries and scientific posters
- Links to GitHub repositories
- Award-winning projects in hackathons and competitions
Research and Industry Partnerships
The department collaborates with various local and international organizations, including:
- Technology companies and industrial partners
- Government entities and research centers
- Hospitals and medical institutions in AI and robotics
- Specialized cybersecurity centers