Ramat Gan, Israel

Meghan Mergui

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Meghan Mergui

Introduction

Meghan Mergui is a talented inventor based in Ramat Gan, Israel. She has made significant contributions to the field of data clustering, showcasing her expertise and innovative thinking. With a focus on structured and semi-structured data, Meghan has developed a unique approach that enhances data organization and accessibility.

Latest Patents

Meghan holds a patent for her invention titled "Clustering of Structured and Semi-Structured Data." This computerized method and system involve clustering data-subsets from one or more structured or semi-structured data sources. Each data-subset comprises data-values, and for each subset, a vector indicative of characters' position distribution is generated. This process leads to the creation of a group of vectors, from which proxy hash values are calculated. Data-subsets are then assigned to clusters based on the similarity of these proxy hash values and vectors. Meghan's innovative approach has the potential to revolutionize how data is managed and utilized.

Career Highlights

Throughout her career, Meghan has demonstrated a commitment to advancing technology and improving data management systems. Her work at BigID Inc. has allowed her to collaborate with other talented professionals in the field. Meghan's dedication to innovation is evident in her patent and her ongoing contributions to her company.

Collaborations

Meghan has worked alongside notable colleagues such as Yehoshua Enuka and Eyal Sacharov. Their collaborative efforts have fostered a creative environment that encourages the development of groundbreaking ideas and solutions.

Conclusion

Meghan Mergui is an inspiring inventor whose work in data clustering exemplifies the power of innovation. Her contributions to the field are paving the way for more efficient data management solutions.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…