North York, Canada

Elmira Amirloo Abolfathi

This inventor holds 9 USPTO granted patents. Top assignees: Huawei Technologies Co., Limited, Mcgill University, Huawei Technologies Canada Co., Ltd.. Active years: 2020-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elmira Amirloo Abolfathi. Retrieved from https://idiyas.com/inventor/elmira-amirloo-abolfathi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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9 patents (USPTO):Explore Patents

Title: Innovations of Elmira Amirloo Abolfathi

Introduction

Elmira Amirloo Abolfathi is a prominent inventor based in North York, Canada. She has made significant contributions to the field of machine learning and autonomous systems. With a total of 9 patents, her work focuses on enhancing the capabilities of reinforcement learning agents and motion planning systems.

Latest Patents

One of her latest patents is titled "Method and system for training reinforcement learning agent using adversarial sampling." This invention describes methods and systems for training a reinforcement learning (RL) agent for the autonomous operation of a vehicle. The RL agent is trained using uniformly sampled training samples to learn a policy. After achieving a predetermined performance goal, data is collected, including a sequence of sampled states and agent parameters. A failure predictor is then trained to predict the probability of failure of the RL agent for a given sequence of states. This process involves simulating the vehicle's interaction with the environment to collect sequences of states, which are used to further train the RL agent based on the predicted probability of failure.

Another notable patent is "Machine-learning based system for path and/or motion planning and method of training the same." This invention outlines a system and method for path and motion planning, which includes generating a sequence of predicted occupancy grid maps (OGMs) for time steps based on a reference map of the environment and a trajectory. A cost volume is generated for the sequence of predicted OGMs, with each cost map representing the cost of occupancy in accordance with a defined policy function.

Career Highlights

Elmira has worked with notable organizations such as Huawei Technologies Co., Limited and McGill University. Her experience in these institutions has allowed her to develop and refine her innovative ideas in the field of autonomous systems and machine learning.

Collaborations

She has collaborated with talented individuals, including Jun Luo and Jason Philip Ku, contributing to her success in the field.

Conclusion

Elmira Amirloo Abolfathi is a trailblazer in the realm of machine learning and autonomous systems. Her innovative patents and career achievements highlight her significant impact on the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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