Tippecanoe, IN, United States of America

Ahmed Moustafa Hussein Aly


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Ahmed Moustafa Hussein Aly: Innovator in Data Partitioning and Indexing

Introduction

Ahmed Moustafa Hussein Aly is a notable inventor based in Tippecanoe, IN (US). He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency of data partitioning and indexing for large clusters, which is crucial in today's data-driven world.

Latest Patents

Ahmed holds a patent titled "Horizontal interval-based data partitioning and indexing for large clusters." This patent addresses the transformation of current data records with start and end times into a two-dimensional space. The first dimension represents each data record's start time, while the second dimension represents each data record's end time. The invention allows for the generation of partitioning schemes based on historical queries that specify data ranges. An optimum partitioning scheme is selected based on the costs of executing these historical queries, ensuring that any subsequent queries are efficiently processed against the partitioned data records.

Career Highlights

Ahmed is currently employed at Turn Inc., where he applies his expertise in data management and innovation. His work at Turn Inc. has allowed him to further develop his skills and contribute to advancements in the field. He has a proven track record of creating solutions that enhance data processing efficiency.

Collaborations

Ahmed collaborates with talented individuals such as Hazem Elmeleegy and Yan Qi. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions in data management.

Conclusion

Ahmed Moustafa Hussein Aly is a distinguished inventor whose work in data partitioning and indexing has the potential to revolutionize how large data clusters are managed. His contributions are invaluable in the ever-evolving landscape of data technology.

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