Students of the BIT program presented a qualitative project titled “Fungi AI.” This intelligent system utilizes Deep Learning and Cloud Integration to discover and classify fungi into five distinct categories via a mobile application. The team included: Hudhaifa Sadiq, Ahmed Essam, Yassin Abdulaziz, Khalil Mohammed, and Suhail Hussein. This project exemplifies the university’s vision of leading digital transformation through practical AI solutions for medical and agricultural challenges.
Fungi AI: Mushroom Detection with Deep Learning
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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.