New Brunswick, NJ, United States of America

Parul Kothari

This inventor holds 1 USPTO granted patent. Top assignee: Ford Global Technolgoies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Parul Kothari. Retrieved from https://idiyas.com/inventor/parul-kothari-0f0t0enr

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Parul Kothari and Video Annotation Innovation.

Introduction

Parul Kothari is an inventor associated with New Brunswick, New Jersey, and Ford Global Technologies, LLC. Her patent work addresses the preparation of video data for training machine-learning systems.

Latest Patents

Kothari is associated with 1 patent, titled “Neural network.” The invention describes a computer that plots three-dimensional positions of labeled cuboids across frames between two keyframes in a densely labeled video sequence. It can create a sparsely labeled sequence by removing cuboids whose positions fall within a user-selected distance of a line connecting their positions in the two keyframes. The resulting sequence can then be used to train a machine-learning system.

Career Highlights

The patent reflects work on reducing the labeling required to prepare video data for machine-learning training. By generating a sparse sequence from densely labeled video, the described approach offers a way to produce training material based on selected spatial criteria.

Collaborations

The patent information also names Iurii Simanovskyi and Michael Joseph Rondinelli as Kothari’s coworkers.

Conclusion

Parul Kothari’s patent work at Ford Global Technologies, LLC, focuses on transforming labeled video sequences into training data for machine-learning systems.

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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