Ganjam, India

Rajesh Kumar Panda

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rajesh Kumar Panda. Retrieved from https://idiyas.com/inventor/rajesh-kumar-panda-i0ht9c2f

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 7.3

ph-index = 1


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Rajesh Kumar Panda

Introduction

Rajesh Kumar Panda is a notable inventor based in Ganjam, India. He has made significant contributions to the field of machine learning and neural networks. With a total of 3 patents, his work focuses on enhancing the security and efficiency of neural network models.

Latest Patents

Rajesh Kumar Panda's latest patents include a "Method and system for securing neural network models." This invention provides a method for securing Neural Network (NN) models by identifying crucial layers, extracting them, encrypting them, and generating a second NN model for deployment. Another significant patent is the "Method and electronic device for secure on-device storage for machine learning models." This method involves detecting context, triggering model execution commands, and securely loading machine learning models for inference generation.

Career Highlights

Rajesh Kumar Panda is currently employed at Samsung Electronics Ltd., where he continues to innovate in the field of technology. His work has implications for various applications, particularly in enhancing the security of machine learning models.

Collaborations

Some of his coworkers include Renju Chirakarotu Nair and Nikhil Sahni, who contribute to the collaborative environment at Samsung Electronics Ltd.

Conclusion

Rajesh Kumar Panda's contributions to the field of machine learning and neural networks demonstrate his commitment to innovation and security in technology. His patents reflect a deep understanding of the challenges in this domain and offer practical solutions for the future.

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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