Palo Alto, CA, United States of America

John Leo


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 60(Granted Patents)


Company Filing History:


Years Active: 2002-2010

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2 patents (USPTO):Explore Patents

Title: Innovations by Inventor John Leo

Introduction

John Leo is a prominent inventor based in Palo Alto, CA, renowned for his contributions to technological innovations. With a total of two patents to his name, he has made significant advancements in the fields of data processing and aggregation techniques.

Latest Patents

John Leo's most recent inventions demonstrate his ability to solve complex problems efficiently. His first patent is titled "Method and device for processing a time-related data entry." This invention allows a device to obtain a data entry from a user and convert time entries between different time zones. It ultimately aids users in scheduling meetings while considering local times.

The second patent, "Parallel distinct aggregates," presents techniques for executing distinct aggregation operations in a scalable and efficient manner. This method utilizes a three-stage technique to parallelize aggregation operations involving grouping and multiple distinct-key columns. By processing row pieces through various stages, the invention significantly improves performance in executing distinct aggregation queries.

Career Highlights

Throughout his career, John Leo has worked with several notable companies, including Oracle International Corporation and Siebel Systems, Inc. His experience in these leading organizations has contributed to his expertise in developing cutting-edge technologies.

Collaborations

John has collaborated with talented professionals in the industry, including Cetin Ozbutun and William H. Waddington. Working alongside these esteemed colleagues has enriched his innovative journey and fostered advancements in his fields of expertise.

Conclusion

John Leo continues to be a prominent figure in the technology landscape through his patents and innovative solutions. His work has not only enhanced data processing mechanisms but has also influenced the way time-related data is managed and aggregated in various applications. His contributions are expected to pave the way for further advancements in the tech industry.

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