San Diego, CA, United States of America

Nojan Sheybani

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: University of California. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nojan Sheybani: Innovator in Machine Learning Ownership

Introduction

Nojan Sheybani is a prominent inventor based in San Diego, California. He has made significant contributions to the field of machine learning, particularly in the area of model ownership verification. His innovative approach addresses critical challenges in ensuring the integrity and ownership of machine learning models.

Latest Patents

Nojan Sheybani holds a patent for a groundbreaking invention titled "Zero Knowledge Proof of Deep Neural Network Ownership." This patent outlines a secure method for proving ownership of machine learning models without revealing sensitive information. The process involves a trusted third party generating keys that allow model owners to demonstrate ownership of their models while maintaining confidentiality.

Career Highlights

Nojan is affiliated with the University of California, where he continues to advance research in machine learning and artificial intelligence. His work has garnered attention for its potential applications in various industries, including finance, healthcare, and technology.

Collaborations

Nojan collaborates with Ritvik Kapila, contributing to innovative research projects that push the boundaries of machine learning technology.

Conclusion

Nojan Sheybani's contributions to the field of machine learning ownership verification highlight his role as a leading inventor. His patent demonstrates a commitment to advancing technology while ensuring the protection of intellectual property.

Profile summary based on public USPTO records.
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