Dublin, CA, United States of America

Shiva Naveen Ravi

This inventor holds 1 USPTO granted patent. Top assignee: Regeneron Pharmaceuticals, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shiva Naveen Ravi. Retrieved from https://idiyas.com/inventor/shiva-naveen-ravi

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shiva Naveen Ravi and Machine-Learning-Based Particle Classification.

Introduction

Shiva Naveen Ravi is an inventor based in Dublin, California, and is associated with Regeneron Pharmaceuticals, Inc. His patent work addresses the classification of sub-visible particles in fluid and pharmaceutical-product samples.

Latest Patents

Ravi is associated with 1 patent, titled “Methods and Systems for Particle Classification.” The invention describes analyzing images of fluids or pharmaceutical samples with machine-learning models, such as convolutional neural networks, to identify and classify sub-visible particles. Examples include cells, pathogens, protein aggregates, silicone-oil droplets, fibers, air bubbles, and glass particles.

Career Highlights

Ravi’s patent reflects the application of machine learning to particle analysis in pharmaceutical contexts. The described methods and systems use image-based classification to distinguish among different types of particles in samples.

Collaborations

Ravi’s listed coworkers include Qingyan Hu and Marco Hernandez. The available information identifies these colleagues but does not specify their roles in the patent or their particular contributions.

Conclusion

Shiva Naveen Ravi’s particle-classification patent describes a machine-learning approach to identifying sub-visible particles in pharmaceutical and fluid samples.

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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