A research project at IUTT develops a modified U-Net model for Arabic document layout analysis, achieving high precision in text segmentation at paragraph, line, and word levels.
The “Real-time AI Football Referee” project at IUTT utilizes computer vision and drones to make smart officiating decisions in football matches with high accuracy.
IUTT Multimedia students showcase over 50 innovative packaging projects, focusing on highlighting the Yemeni product identity through modern and professional methods.
Launching graduation project defenses for the AI and Data Science program at IUTT for 2025–2026, attended by university leadership and elite specialized academics.
IUTT’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT students develop “Rasid Logs Forensic”, a high-speed digital forensic platform for Windows log analysis and threat detection using Rust and Sigma rules.
IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.
IUTT students develop a cutting-edge Machine Learning-based Intrusion Prevention System (IPS) capable of processing 1.2M packets per second with 97% accuracy.
IUTT presents “IntelliGuard”, an offline AI-powered anti-malware system for Android that detects Zero-Day threats with 94% accuracy and high efficiency.
IUTT presents “SafeMailer”, an intelligent email security gateway designed to protect communication infrastructures from phishing and malicious threats using AI.