Mohammed Shalaby
Perception Applied Scientist at Provectus Robotics
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolMohammed Shalaby is a perception applied scientist and roboticist with eight years of experience bridging academic research and field-deployable autonomy for multi-robot systems. Currently building perception and state-estimation pipelines for Provectus Robotics’ off-road UGVs, he focuses on robust, real-world navigation and scalable sensor integration. His PhD from McGill’s DECAR group produced practical advances in using ultra-wideband radio for multi-robot navigation, resulting in peer-reviewed publications and techniques geared toward deployment rather than idealized lab settings. Mohammed has taught graduate-level autonomous navigation, developed traction and friction models at TUM, and applied unsupervised learning to engine reliability, showing a knack for turning complex models into operational tools. Based in Montreal, he blends systems-level engineering with hands-on experimentation to move collaborative robotics from proof-of-concept to production.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Robotics & Automation, Doctor of Philosophy - PhD, Robotics & Automation at McGill University
Github Skills (23)
uwb10
imu10
robotics9
kalman-filter9
calibration9
localization9
ros8
manifold8
python7
simulation6
stochastic5
game-theory4
markov-decision-processes4
gazebo-simulator4
theory4
Programming languages (6)
Github contributions (5)
decargroup/uwb_calibration
Feb 2022 - Jan 2023
A Python package to calibrate the UWB modules in order to improve ranging accuracy.
Contributions:151 commits, 5 PRs, 39 pushes in 10 months
pythonuwbcalibrationlocalizationranging-sensor
decargroup/miluv
Jul 2024 - Oct 2025
A Multi-UAV Indoor Localization dataset with UWB and Vision
Contributions:5 reviews, 38 PRs, 139 pushes in 1 year 3 months
localizationuwbdatasetroboticsuav
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