San Diego, CA, United States of America

Arunkumar Nehrur Ravi

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Arunkumar Nehrur Ravi. Retrieved from https://idiyas.com/inventor/arunkumar-nehrur-ravi

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 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Arunkumar Nehrur Ravi: Innovator in Egocentric Gaze Estimation

Introduction

Arunkumar Nehrur Ravi is a notable inventor based in San Diego, CA. He has made significant contributions to the field of gaze estimation technology. His innovative work focuses on understanding how users interact with their environments through their gaze.

Latest Patents

Arunkumar holds a patent for "Egocentric Gaze Estimation." This patent outlines techniques for estimating a user's egocentric gaze in an environment. The process involves inputting video and audio data into a machine learning architecture to derive an estimate of the user's gaze based on the provided inputs. He has 1 patent to his name.

Career Highlights

Arunkumar is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm allows him to apply his innovative ideas in a practical setting, contributing to the development of cutting-edge technologies.

Collaborations

Arunkumar collaborates with talented individuals such as Shivansh Rao and Saurav Gupta. Their teamwork fosters an environment of creativity and innovation, leading to advancements in their respective fields.

Conclusion

Arunkumar Nehrur Ravi is a pioneering inventor whose work in egocentric gaze estimation showcases the potential of machine learning in understanding human interaction with technology. His contributions are paving the way for future innovations in this exciting field.

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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