This inventor holds 1 USPTO granted patent. Top assignee: Huawei Technologies Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Saber Malekmohammadi: Inventor in Autonomous Driving
Introduction
Saber Malekmohammadi is an inventor based in Toronto, Canada, whose work includes a patent related to pedestrian-action prediction for autonomous driving systems. His listed patent count is 1 patent.
Latest Patents
His patent, “Method and System for Graph Neural Network Based Pedestrian Action Prediction in Autonomous Driving Systems,” describes a method for analyzing traffic scenes and predicting whether a pedestrian will cross the road. The system models road users across observed frames as a spatiotemporal graph, groups them into categories, and processes the graph with a trained graph convolutional neural network. This approach is intended to help an autonomous vehicle interpret the scene and anticipate pedestrian behavior.
Career Highlights
Malekmohammadi is associated with Huawei Technologies Co., Ltd. His patented work focuses on applying graph-based machine learning to a practical challenge in autonomous driving: anticipating pedestrian actions from observed traffic scenes.
Collaborations
The listed collaborators include Amir Rasouli and Tiffany Yee Kay Yau.
Conclusion
Saber Malekmohammadi’s patent applies spatiotemporal graph modeling and neural networks to pedestrian-action prediction, contributing to research aimed at improving how autonomous vehicles understand traffic scenes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile