Menlo Park, CA, United States of America

Nigam H Shah

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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4 patents (USPTO):Explore Patents

Title: Innovator Nigam H Shah: Pioneering Data Analysis Technologies

Introduction

Nigam H Shah is a prominent inventor based in Menlo Park, CA. He has made significant contributions to the field of data analysis and storage technologies. With a total of 4 patents to his name, Shah's work focuses on optimizing data structures for efficient query look-ups.

Latest Patents

Shah's latest patents include innovative systems and methods for cohort analysis using compressed data objects. These technologies enable fast memory lookups and are designed to structure unstructured data according to a data object structure. This structure allows for quick query look-ups across various space and time dimensions. Many embodiments of his patents optimize the storage of data objects using compression techniques that adapt data types based on the properties of the stored data. Additionally, these systems can service query look-up requests without the need to deserialize data within the byte stream format, allowing for immediate data retrieval from persistent memory.

Career Highlights

Nigam H Shah is affiliated with Leland Stanford Junior University, where he continues to advance his research and development in data technologies. His work has garnered attention for its practical applications in various industries, enhancing the efficiency of data management systems.

Collaborations

Shah collaborates with notable colleagues, including Vladimir Polony and Juan Manuel Banda, contributing to a dynamic research environment that fosters innovation.

Conclusion

Nigam H Shah's contributions to data analysis and storage technologies exemplify the impact of innovative thinking in the field. His patents not only enhance data retrieval processes but also pave the way for future advancements in data management.

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