Valencia, PA, United States of America

Iurii Simanovskyi

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Iurii Simanovskyi. Retrieved from https://idiyas.com/inventor/iurii-simanovskyi

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Iurii Simanovskyi and Video-Labeling Innovation.

Introduction

Iurii Simanovskyi is an inventor associated with Valencia, Pennsylvania, and Ford Global Technologies, LLC. His listed patent concerns preparing video data to train machine-learning systems.

Latest Patents

Simanovskyi is credited with 1 patent, titled “Neural network.” The patent describes a computer that uses a processor and memory to plot the three-dimensional positions of labeled cuboids across frames between two keyframes in a densely labeled video sequence. It also describes generating a sparsely labeled sequence by removing cuboids whose positions fall within a user-selected distance of a line connecting their positions in the keyframes. The resulting sequence can be used to train a machine-learning system.

Career Highlights

The listed invention focuses on streamlining the preparation of labeled video data. By reducing labels in a controlled way, the approach offers a method for creating training material from densely annotated sequences.

Collaborations

Parul Kothari and Michael Joseph Rondinelli are identified as Simanovskyi’s coworkers. The available information does not specify their roles in the patent or the invention.

Conclusion

Iurii Simanovskyi’s listed patent presents a video-labeling technique intended to support machine-learning training, reflecting his association with innovation at Ford Global Technologies, LLC.

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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