Rusul Jasim Muhsin Al-Ayedi

### Rusul Jasim Muhsin Al-Ayedi **Rusul Jasim Muhsin Al-Ayedi** is a researcher specializing in Computer Science, Network Security, and Intrusion Detection Systems. She earned her Bachelor's degree in Computer Science from the University of Kufa in 2021 and completed her Master's thesis defense in Computer Science at the same university on June 3, 2026, with a Very Good (High) grade. Her thesis was entitled **"Hybrid Feature Selection Model to Enhance the Classification Accuracy of Network Intrusion Detection Systems Based on Machine Learning and Mutual Information."** Her research interests include **Cybersecurity, Network Security, Intrusion Detection Systems, Machine Learning, Feature Selection, and Classification Optimization**. She possesses skills in academic research, scientific reporting, and the development of machine learning models for intrusion detection. She also has professional experience in education and technical skills in computer applications and information systems. Her research contributions include **two scientific papers** focusing on network security and intrusion detection. The first, published in the Scopus-indexed *Kufa Journal of Engineering*, addresses early network intrusion detection using machine learning techniques. The second was presented at the **2026 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT 2026)** and investigates enhancing intrusion detection system performance through feature selection and hybrid classification. She has also participated in academic training programs and workshops covering scientific research methodologies, digital research environments, intelligent research tools, data visualization, and effective presentation of research findings. Additionally, she has received certificates of participation and appreciation from the University of Kufa and an international IEEE conference. Her academic interests reflect a commitment to applying artificial intelligence and machine learning techniques to improve network security, enhance intrusion detection accuracy, and develop intelligent solutions for cybersecurity challenges.