Dr. Yusra Abdulrahman is an accomplished academic and researcher deeply committed to driving the aerospace industry forward. Her educational journey began with a BSc degree with honors from the University of Arizona in the United States. She furthered her education, attaining both MSc and Ph.D. degrees through the collaborative program between the Massachusetts Institute of Science and Technology (USA) and the Masdar Institute of Science and Technology (UAE).
Dr. Abdulrahman has been actively engaged in fruitful collaborations with leading aerospace companies in the UAE since 2014. Her industry experience is a valuable asset as she works to enhance automation processes, redefine inspection techniques, and harness the power of AI for more efficient and sustainable aerospace operations.
Her research contributions have not gone unnoticed, earning her numerous awards from the Ministry of Energy and Industry. Multiple publications in esteemed international scientific journals exemplify her commitment to advancing the field. Dr. Abdulrahman's multidimensional expertise positions her as a significant contributor to the progress of aerospace engineering and technology at Khalifa University.
Enhancing Aerospace MRO Operations: Automated Solutions for Blade Sorting
(Sponsors: SANAD Aerotech and Mubadala Aerospace Company, Principal Investigator, January 2024-December 2024)
This project automates the sorting and weighing of aerospace engine blades, improving efficiency and reducing human error in blade handling. Utilizing a robotic arm with an integrated load cell, AI-based vision, and a sorting algorithm, the system ensures precise weight measurement and sorting to achieve critical mass balance for engine performance. Developed in collaboration with SANAD Aerotech, the project is designed for seamless deployment with advanced software and hardware components, setting new standards for the aerospace MRO industry.
Enhancing Aerospace MRO Operations: Automated Solutions for Chord Measurements鈥�
(Sponsors: SANAD Aerotech and Mubadala Aerospace Company, Principal Investigator, January 2024-December 2024)
Automated Chord Measurement System (ACMS)
The ACMS revolutionizes aero engine blade chord measurement in the MRO industry, offering enhanced precision and speed. Automating the traditionally manual process, ACMS minimizes human error and increases productivity. The system uses a robotic arm with a laser profiler to capture accurate measurements, controlled via a ROS-based interface. Developed in collaboration with Lufthansa Technik and SANAD Aerotech, ACMS ensures consistent, high-quality results for blade maintenance, setting new standards in aerospace component inspection and measurement.
Enhancing Aerospace MRO Operations: Aerospace Engine Blade Inspection System鈥�
(Sponsors: SANAD Aerotech, and Mubadala Aerospace Company, Principal Investigator, January 2024-December 2024)
This project introduces an AI-driven system for inspecting aerospace engine blades and automating defect detection to enhance accuracy and efficiency. A deep learning model is trained for precise surface analysis by utilizing a combination of synthetic and real datasets. The inspection process is fully autonomous and integrated with a robotic arm and image acquisition system.
Advancing Non-Destructive Testing (NDT) through Innovative Integration of Infrared Thermography (IRT) and Emerging Technologies in Aerospace Applications
(KU internal fund)
As our team ventures into exciting projects, we're on the lookout for students and researchers who are passionate and self-motivated. If you find our research interesting, drop me an email. We'd love to explore collaboration with you.
