The “MedFusionNet” project at IUTT utilizes hybrid AI techniques to achieve 94.58% accuracy in dermatological diagnosis and medical decision support.
A research project at IUTT successfully detects deepfake voices with 94% accuracy, employing advanced techniques to combat digital fraud in real-world conditions.
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.
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 launches the graduation project defenses for the Computer Science program (2025–2026), emphasizing the role of these projects in preparing technical competencies for the labor market.
IUTT University celebrates the graduation project defenses of its inaugural Cybersecurity batch, reinforcing its leadership in modern digital disciplines.
IUTT’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT presents “SafeMailer”, an intelligent email security gateway designed to protect communication infrastructures from phishing and malicious threats using AI.
ForensLink project at IUTT introduces an intelligent system using ELECTRA techniques to detect malicious links and protect users from electronic fraud.
The University of Technology organized a student “Entrepreneurship Day” where fourth-level students presented 12 innovative projects reflecting creativity and entrepreneurial spirit.
IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.