Redwood City, CA, United States of America

Mayar Arafa

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ford Global Technolgoies, LLC. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mayar Arafa. Retrieved from https://idiyas.com/inventor/mayar-arafa

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Mayar Arafa: Inventor in Vehicle Automation

Introduction

Mayar Arafa is an inventor based in Redwood City, California. Her work includes vehicle automation and machine-learning applications, and she is associated with Ford Global Technologies, LLC. The supplied information lists 1 patent for Arafa.

Latest Patents

Arafa’s listed patent, “Enhanced Vehicle Operation,” describes a computer system that uses machine-learning layers to analyze an image and identify potential parking areas. One layer detects quadrilateral regions, while another identifies sets of vertices that define polygonal areas. The system selects an area for parking and actuates vehicle components to move the vehicle into it.

Career Highlights

The patent highlights an approach to automated parking that combines image analysis, machine learning, and vehicle control. By identifying a suitable polygonal area and directing the vehicle into it, the system aims to support automated vehicle operation.

Collaborations

Arafa’s listed coworkers include Vidya Nariyambut Murali and Xianling Zhang. Her association with Ford Global Technologies, LLC connects her patent work to the company’s vehicle technology efforts.

Conclusion

Mayar Arafa’s “Enhanced Vehicle Operation” patent presents a machine-learning-based method for identifying parking areas and guiding a vehicle into one.

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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