Hyderabad Telangana, India

Uma Devi Ganugula

This inventor holds 1 USPTO granted patent. Top assignee: Infosys Limited. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations of Uma Devi Ganugula

Introduction

Uma Devi Ganugula is an accomplished inventor based in Hyderabad, Telangana, India. She has made significant contributions to the field of data recognition and processing. Her innovative work focuses on transforming unstructured data into structured formats, which is crucial for various applications in technology and data management.

Latest Patents

Uma Devi Ganugula holds a patent for a "System and method of recognizing data in a table area from unstructured data." This invention involves a computer network and one or more processors that work together to identify and extract tabular data from unstructured input streams. The system recognizes table areas, determines column delimiters, and maps the extracted data to target schemas for storage in relational databases. This patent showcases her expertise in data processing and her ability to address complex challenges in the field.

Career Highlights

Uma Devi is currently employed at Infosys Limited, a leading multinational corporation that provides business consulting, information technology, and outsourcing services. Her role at Infosys allows her to apply her innovative ideas and contribute to the company's advancements in technology and data solutions.

Collaborations

Some of her notable coworkers include Radha Krishna Pisipati and Jianlin Zhang. Their collaboration fosters a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Uma Devi Ganugula's contributions to the field of data recognition exemplify her innovative spirit and dedication to advancing technology. Her patent and work at Infosys Limited highlight her role as a significant figure in the realm of data processing.

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