Within the distinguished graduation projects for the 2024/2025 academic year, a team from the Computer Science Department developed a qualitative project titled “Object Tracking Algorithms.” This integrated technical project in the field of Artificial Intelligence and Computer Vision reflects an advanced level of scientific understanding. The project simulates real-world applications of object tracking used in drones, smart surveillance systems, and electronic games. Despite limited resources, the team developed an intelligent system that mimics robotic perception using only a camera, without additional sensors. The project utilized advanced models from Google and Meta, combined with a custom-developed integration algorithm. During the defense, the system showed exceptional live tracking performance, earning praise from the evaluation committee. The project was executed by: Al-Hassan Baligh Al-Shami, Abdulghani Al-Wajeeh, Mohammed Khaled Al-Alimi, and Osama Rafeh.
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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.

IUTT Concludes Group 3 Field Training Program Defenses
19/05/2026
IUTT concludes the final defense sessions for Group 3 of the field training program, showcasing students’ capability to apply academic knowledge in real-world environments.