Richmond Hill, Canada

Haider Abbas Rizvi


Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 27(Granted Patents)


Company Filing History:


Years Active: 2010-2016

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Haider Abbas Rizvi: Innovator in Data Processing Technologies

Introduction

Haider Abbas Rizvi is a notable inventor based in Richmond Hill, Canada. He has made significant contributions to the field of data processing, holding a total of 4 patents. His work focuses on innovative methods for partitioning data to enhance parallel processing capabilities.

Latest Patents

One of his latest patents involves a system that partitions data for parallel processing. This system comprises one or more computer systems equipped with at least one processor. The invention partitions data of a data object into multiple data partitions within a data structure based on various keys. The data structure features multiple dimensions, with each key linked to a different dimension. Portions of the data structure that represent different data partitions are assigned to the computer systems for parallel processing. These assigned portions are processed in parallel to execute operations efficiently. The patent also includes a method and computer program product for partitioning data in a similar manner.

Career Highlights

Haider Abbas Rizvi is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in data processing technologies and contribute to cutting-edge innovations in the industry.

Collaborations

Throughout his career, Haider has collaborated with notable colleagues, including Matthew Albert Huras and Sam Sampson Lightstone. These collaborations have further enriched his work and contributed to advancements in data processing.

Conclusion

Haider Abbas Rizvi is a distinguished inventor whose work in data partitioning for parallel processing has made a significant impact in the field. His contributions continue to shape the future of data processing technologies.

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