Sara Al-emadi
Research Fellow at Qatar Computing Research Institute
Doha, Qatar
Summary
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Senior🎓
Top SchoolSara Al-Emadi is a Research Fellow at Qatar Computing Research Institute with nine years of experience bridging applied AI research and production-grade network engineering. Her work focuses on generalisation in AI, computer vision, and deep learning for drones, building solutions that span from anti-drone systems to secure networked infrastructures. She transitioned from hands-on roles in network infrastructure, ICT strategy, and enterprise architecture at Qatar Petroleum to academic research, bringing a rare combination of operational security expertise and advanced ML research. Sara holds a PhD in Computer Science and Engineering from Hamad Bin Khalifa University and MSc and BSc degrees from Qatar University, which underpin her interdisciplinary approach. Notably, she applies real-world deployment perspectives—especially in UAV and security contexts—to improve model robustness beyond laboratory settings.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Qatar UniversityDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Hamad Bin Khalifa University
Arabic, English
Github Skills (30)
toolbox9
faster-rcnn8
object-detection8
generative8
vision-transformer8
benchmark8
generalization8
pytorch7
openmmlab7
mask-rcnn7
swin-transformer7
transformer7
retinanet6
audio6
deep-learning6
Programming languages (2)
Github contributions (5)
saraalemadi/DroneAudioDataset
Dec 2018 - Apr 2019
Contributions:6 commits, 7 pushes, 1 comment in 3 months
saraalemadi/CNN_for_drone_detection_and_identification_using_RF
Jun 2020 - Jun 2020
Contributions:7 commits, 6 pushes, 1 branch in 20 days
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