Palo Alto, CA, United States of America

Mahashweta Das

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.8

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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4 patents (USPTO):

Title: Mahashweta Das: Innovator in Data Processing Technologies

Introduction

Mahashweta Das is a prominent inventor based in Palo Alto, CA (US). She has made significant contributions to the field of data processing, holding a total of 4 patents. Her work focuses on enhancing the efficiency and effectiveness of data management systems.

Latest Patents

One of her latest patents is titled "Processing data between data stores." This invention involves a non-transitory computer-readable medium that stores machine-readable instructions. When executed, these instructions enable a computing device to establish a connection between different data stores, such as a relational data store and a graph engine. The connection is bi-directional and allows data stored in shared memory to be processed by either the graph engine or the relational database based on incoming queries.

Another notable patent is "Recommending analytic tasks based on similarity of datasets." This system includes a data processor, a matching module, and a recommendation module. The data processor generates a feature vector for incoming datasets and determines similarity measures with representative feature vectors in a data repository. The recommendation module then identifies and suggests analytic tasks associated with the selected datasets.

Career Highlights

Mahashweta currently works at Micro Focus LLC, where she continues to innovate in the realm of data processing technologies. Her expertise and contributions have positioned her as a key figure in her field.

Collaborations

She collaborates with notable colleagues, including William Kevin Wilkinson and Alkis Simitsis, further enhancing her work through teamwork and shared expertise.

Conclusion

Mahashweta Das is a trailblazer in data processing innovations, with a focus on improving the interaction between various data systems. Her patents reflect her commitment to advancing technology in meaningful ways.

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