Chennai, India

Siva Sankar R

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ford Motor Company Limited. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Siva Sankar R. Retrieved from https://idiyas.com/inventor/siva-sankar-r

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Siva Sankar R: Innovator in Synthetic Image Generation

Introduction

Siva Sankar R is a notable inventor based in Chennai, India. He has made significant contributions to the field of synthetic image generation, particularly in the context of digital twins and anomaly detection.

Latest Patents

Siva Sankar R holds a patent for "Systems and methods for generating synthetic images of a training database." This innovative method involves generating nominal images of a digital twin environment, defining anomalous characteristics, and creating synthetic images that can be classified as anomalous or nominal. The process includes tessellation and texture mapping routines to enhance the generated images.

Career Highlights

Siva Sankar R is currently employed at Ford Motor Company Limited, where he applies his expertise in image generation technologies. His work focuses on improving the accuracy and efficiency of training databases through advanced synthetic image techniques.

Collaborations

He has collaborated with notable colleagues, including Walter LaPlante and Francis Maslar, contributing to various projects that leverage his innovative approaches in synthetic image generation.

Conclusion

Siva Sankar R is a pioneering inventor whose work in synthetic image generation is shaping the future of digital environments and anomaly detection. His contributions are valuable to both his company and the broader field of technology.

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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