Los Angeles, CA, United States of America

Sepanta Zeighami

This inventor holds 1 USPTO granted patent. Top assignee: University of Southern California. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sepanta Zeighami. Retrieved from https://idiyas.com/inventor/sepanta-zeighami

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Sepanta Zeighami

Introduction

Sepanta Zeighami is an accomplished inventor based in Los Angeles, CA. He has made significant contributions to the field of neural networks and database frameworks. His innovative work focuses on enhancing the efficiency of database query responses through advanced neural network architectures.

Latest Patents

Zeighami holds a patent for "Systems and methods for a neural network database framework for answering database query types." This patent describes a neural network database that learns existing patterns between query input and output. The architecture is designed to efficiently answer various query types, such as distance to nearest neighbor queries and range aggregate queries. His approach demonstrates orders of magnitude improvement in query time compared to state-of-the-art solutions, while also utilizing a fraction of the data size.

Career Highlights

Currently, Sepanta Zeighami is affiliated with the University of Southern California. His role at the university allows him to engage in cutting-edge research and development in the field of artificial intelligence and database systems. His work has garnered attention for its innovative approach and practical applications.

Collaborations

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Conclusion

Sepanta Zeighami's contributions to neural network database frameworks exemplify the potential of innovation in enhancing data processing efficiency. His work continues to influence the field and pave the way for future advancements.

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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