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Thesis Title: Automatic ultrasound imaging-based tomography of the shoulder to dynamically track bony structures in real-time.
Ahmed graduated in Master of Engineering (Electrical) and Bachelor of Engineering (Honours) (Mechatronics) from QUT. He also completed a Professional Year course at Monash to improve his familiarity with workplace environments and communication skills. In terms of real-world experience, he has interned as a Mechatronics Engineer at five different companies (BiVACOR, AOS, KIW, QUT and Netaware). Responsibilities included, task automation, computer vision, AutoCAD, GUI designs, web development and product design.
His Principal Supervisor is A/Prof Davide Fontanarosa with Associate Supervisor Professor Peter Pivonka.
Why is conventional shoulder ultrasound a significant problem for sonographers and patients? Performing a full shoulder ultrasound (US) scan is time intensive and sometimes dangerous for both sonographers and patients. Up to 85% of the sonographers have reported scanning in pain due to resulting musculoskeletal disorders. Expert sonographers are required to maintain stable hands throughout the procedure and understand how several images fit together. The patients also struggle during sonography as they adapt to uncomfortable positions for long periods of time.