Abduallah Mohamed
Research Scientist at Meta
Summary
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SeniorAbduallah Mohamed is an applied research scientist with nine years of hands-on experience building motion-aware computer vision and sensor-fusion systems, currently leading SLAM and motion-understanding research at Meta Reality Labs. He combines a strong academic foundation (MS/PhD work at UT Austin) on trajectory prediction with industrial expertise across AR/VR, autonomous driving, and surgical robotics from roles at Meta, Apple, Intuitive Surgical, Valeo, and AevaLabs. His work blends deep learning with multi-sensor fusion to produce edge-optimized, real-time perception pipelines—several contributions have led to patents and deployed prototypes. Known for taking projects from notebook prototypes to scalable systems, he balances research novelty with product-minded engineering for large-scale media and device platforms. A less obvious strength is his entrepreneurial streak—co-founding an AR cloud startup and leading algorithm teams early in his career—showing he can pivot between research, productization, and team leadership.
10 years of coding experience
Github Skills (79)
notebook10
memory-efficient10
realtime10
python10
ipython10
deep-learning10
multiagent-systems10
prediction10
graph-convolutional-networks10
traffic10
autonomous-driving10
convolutional-neural-networks10
autonomous-vehicles10
paper10
computer-vision10
Programming languages (5)
Github contributions (5)
abduallahmohamed/MCRM
Aug 2018 - Aug 2018
Contributions:29 commits, 27 pushes, 1 branch in 18 days
abduallahmohamed/Social-STGCNN
Feb 2020 - Oct 2022
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Contributions:26 commits, 8 PRs, 18 pushes in 2 years 8 months
convolutional-neural-networksgraphspatio-temporal-graphspedestrianssocial-stgcnn
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