Montvale, NJ, United States of America

Kaushik Krishna Pradeep

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kaushik Krishna Pradeep. Retrieved from https://idiyas.com/inventor/kaushik-krishna-pradeep

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: Innovations by Kaushik Krishna Pradeep

Introduction

Kaushik Krishna Pradeep is an accomplished inventor based in Montvale, NJ (US). He has made significant contributions to the field of pharmaceutical product analysis through his innovative patent. His work focuses on enhancing the classification of particles in various fluids and samples.

Latest Patents

Kaushik holds a patent for "Methods and systems for particle classification." This patent outlines methods that utilize machine learning models, including convolutional neural networks, to analyze images of fluids and pharmaceutical products. The technology aims to identify and classify sub-visible particles such as cells, pathogens, protein aggregates, silicon oil droplets, fibers, air bubbles, and glass particles.

Career Highlights

Kaushik is currently employed at Regeneron Pharmaceuticals, Inc., where he applies his expertise in machine learning and particle classification. His innovative approach has the potential to improve the quality and safety of pharmaceutical products.

Collaborations

Kaushik has collaborated with notable colleagues, including Aslam Nagarkatti and Qingyan Hu, to further advance his research and innovations in the field.

Conclusion

Kaushik Krishna Pradeep's contributions to particle classification in pharmaceuticals demonstrate the intersection of technology and healthcare. His innovative methods are paving the way for improved analysis and safety in pharmaceutical products.

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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