Mo Hossny
Summary
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SeniorMohammed Mahmoud is a Senior Lecturer in AI & Data Science with 14 years of experience translating biomechanics and sensor fusion research into industry-facing solutions for automotive, defense and mining partners. He leads multidisciplinary teams to build deep learning and inverse reinforcement learning models that fuse inertial, marker-based/markerless motion capture, eye-gaze and physiological signals (EMG/EEG/EOG) to assess human intent, driver competency and visual fatigue in VR/AR. His work spans end-to-end systems from OpenSim/AnyBody musculoskeletal modelling to ROS-enabled robotic/vehicle integrations and GPU-accelerated deep learning pipelines. He has attracted over AU$6.6M in funding and partnered with organisations including Ford, General Motors, SWICK Mining and Lockheed Martin to evaluate assistive devices and exoskeleton efficacy. Notably, he augments traditional biomechanics by incorporating ocular motility and muscle control signals to predict vulnerable road-user trajectories in dense urban environments.
14 years of coding experienceGithub contributions (4)
m7ossny/imfustb
Jan 2012 - Aug 2014
Contributions:3 commits in 2 years 7 months
mhossny/imfustb
Aug 2014 - Aug 2014
Contributions:6 commits in 1 day
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