Term 232

Miniature Autonomous Submarine

Project Type: Innovation Challenge

Project Description

Welding services companies struggle with inspecting underwater pipelines for welding quality. Our solution is a Miniature Autonomous Submarine that utilizes machine learning and a decision support system to revolutionize underwater inspections. This advanced submarine navigates accurately, capturing detailed images and data, making inspections faster and more efficient compared to traditional methods.


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Project Team

Fadhel Abbas Altaweel
Fadhel Abbas Altaweel
Applied Electrical Engineering
Abdulhadi Noor Alhussain
Abdulhadi Noor Alhussain
Industrial & Systems Engg.
Ahmed Musallam Alhamad
Ahmed Musallam Alhamad
Applied Electrical Engineering
Mohammed Saeed Alghadeer
Mohammed Saeed Alghadeer
Petrochemical Engineering
Mohammad Ali Albrahim
Mohammad Ali Albrahim
Computer Science
Mohammed Ahmed Al Jubara
Mohammed Ahmed Al Jubara
Industrial & Systems Engg.

Team Coach

Dr. Ismail Almaraj
Dr. Ismail Almaraj
Assistant Professor

Department of Industrial and Systems Engineering

Interdisciplinary Research Center for Smart Mobility and Logistics