أعضاء هيئة التدريس

Dr. Sara A. Al-Emadi is a Research Fellow at the Qatar Computing Research Institute (QCRI). Her research is focused on advancing robust generalisation in artificial intelligence (AI) to enable reliable deployment in complex, real-world environments. Her scholarly interests span computer vision, remote sensing, and artificial general intelligence (AGI), combining methodological development with practical application.

Dr. Al-Emadi’s research trajectory reflects a strong interdisciplinary orientation. She has led and contributed to projects involving unmanned aerial vehicle (UAV) technologies, anti-drone systems, network infrastructure, computer networks, and cybersecurity. This breadth of expertise enables her to approach research from both systems-level and algorithmic perspectives, fostering solutions that are technically rigorous and operationally viable.

Her professional trajectory uniquely combines academic scholarship with substantial industry leadership. Prior to her research career, she worked in the oil and gas sector as a Network Infrastructure Engineer and later as a Senior Engineer in IT Strategy and Enterprise Architecture. This experience informs her strategic approach to AI research, emphasising reliability, systems integration, and real-world deployment at scale.

Dr. Al-Emadi actively contributes to the research community through peer review and scholarly service. She serves as a reviewer for leading international conferences and journals in artificial intelligence and computer vision. In addition, she regularly presents her research at academic and professional venues, supporting knowledge dissemination and contributing to the advancement of the field.

Dr. Al-Emadi is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). Her recent scholarly contributions have been published in leading and highly selective venues, including the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and the International Journal of Computer Vision (IJCV), reflecting the impact and rigour of her research.