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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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.
IUTT Hosts Graduation Project Defenses (Group 1) for Oil and Gas Engineering Students 2025-2026
19/05/2026
IUTT Faculty of Engineering hosts graduation defenses for Oil and Gas students, featuring innovative projects on production optimization in Tasour and An Nagyah fields using digital twins and nano robots.
IUTT Hosts Graduation Project Defenses for Civil Engineering Program Students
18/05/2026
IUTT Faculty of Engineering hosts graduation project defenses for Civil Engineering students, featuring professional structural designs for buildings and bridges.