Abduallah
Mohamed, PhD
Principal Applied Research Scientist & technical lead at Meta Reality Labs, driving R&D across motion tracking, sensor fusion, and on-device AI for Smart Glasses and AR/VR. Core expertise spans IMU & multi-modal sensor fusion, indoor/outdoor motion tracking, SLAM & non-visual localization, multi-agent trajectory prediction, and LLM-based agentic frameworks. PhD, Electrical & Computer Engineering — UT Austin.
Open to collaboration — I'm currently co-supervising and collaborating with PhD students and researchers working on motion & agentic AI problems. Please reach out if you seek collaboration.
Areas of Expertise
Applied AI
Real-time ML for edge devices — fitness tracking, AR/VR, sensor fusion, trajectory analysis with strict memory and power constraints.
Motion & Trajectory
Deep learning models for multi-agent motion forecasting, SLAM, non-visual localization, and multi-level data fusion systems.
Sensors
Full-stack sensor system development from signal quality assessment to application abstraction. IMU, GNSS, magnetometers, ultrasonic.
Agentic Systems
LLM-driven swarm intelligence frameworks, automated hardware debugging pipelines, and autonomous engineer persona agents.
Experience
Principal Applied Research Scientist
Meta Reality LabsTechnical lead across 4+ product groups and 6+ teams. Research in outdoor/indoor motion tracking, fitness AI, SLAM pipelines, and non-visual localization for Smart Glasses and AR/VR devices. Architected LLM-based swarm intelligence frameworks for product development.
R&D Autonomous Driving Algorithms
AvelabsTechnical lead for the algorithms team. Developed real-time deep learning systems for object tracking, lane detection, road recognition, and traffic sign recognition for autonomous vehicles.
R&D Autonomous Driving Algorithms
ValeoDesigned algorithm for processing raw ultrasonic sensor data to detect and track multiple objects using unsupervised deep learning — subsequently patented. Worked on static mapping using Extended Kalman Filters.
Software Engineer
ITWorxDesigned, executed, assessed, and troubleshot software programs and web-based applications across multiple client projects.
Co-founder & ML Consultant
AR/VR Startup · FreelanceCo-founded and ran a startup in the AR/VR space. Simultaneously worked as a freelance machine learning consultant specializing in computer vision.
Publications
1,699+ citations across CVPR, ECCV, ICCV, IEEE PerCom, and WACV. Google Scholar
PhD, Electrical & Computer Engineering
Trajectory prediction for autonomous and non-autonomous objects. Member of the Mobile Automation and Sensing Systems (MASS) lab.
Contact
Open to research collaborations, speaking engagements, and advisory opportunities in applied AI, sensor systems, and autonomous systems.