This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
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.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
