A student team developed an analytical model using AI and Machine Learning to understand factors influencing academic performance and predict future outcomes. By analyzing historical data such as attendance and grades, the system provides predictive reports to assist educational institutions in data-driven decision-making. The project team: Suhaib Samir, Essam Nasser, and Osama Zaid.
AI System for Student Performance Prediction
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Distinguished Graduation Project Discussion in Petroleum & Gas Engineering Department at IUTT Integrates AI and Digital Twin
19/08/2026
IUTT Petroleum Engineering student Ahmed Al-Saruri successfully defends his AI and Digital Twin graduation project via Google Meet.
IUTT Holds an Expanded Academic Meeting to Discuss Preparations for the New Academic Year 2026-2027
06/06/2026
IUTT hosts an expanded academic meeting to discuss crucial preparations for the academic year 2026-2027, focusing on unified study plans, registration, and the new calendar.
Chaired by the Chairman of the Board: IUTT Holds an Expanded Meeting to Discuss Preparations for the Academic Year 2026-2027
06/06/2026
Chaired by Dr. Fouad Ismail Hanash, IUTT University reviews admission plans, classroom readiness, and academic schedules for the upcoming year 2026-2027.