Mooresville, NC, United States of America

Angela Dawn Roose


Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Angela Dawn Roose: Innovator in Data Activity Reconstruction

Introduction

Angela Dawn Roose is a notable inventor based in Mooresville, NC (US). She has made significant contributions to the field of data activity reconstruction, holding 2 patents that showcase her innovative approach to technology.

Latest Patents

One of her latest patents is titled "System and method for reconstructing time aware data activity across multiple software applications." This invention describes a method for reconstructing time-aware data activity by receiving time-stamped node communication data packets. The method generates a first time period path graph that illustrates directional data flow between nodes during a specified time period. It also determines a central node based on the generated graph.

Another significant patent is the "Consolidated data restoration framework." This invention provides a system for identifying events and performing actions to mitigate their impacts. It gathers data from various sources, generates data flows, identifies anomalies, and performs event impact analysis. The system is designed to restore the last good copy of data, ensuring data integrity and continuity.

Career Highlights

Angela is currently employed at Bank of America Corporation, where she applies her expertise in data systems and technology. Her work focuses on enhancing data management and recovery processes, contributing to the bank's operational efficiency.

Collaborations

Angela collaborates with talented individuals such as Brian C Busch and Conor Mitchell Liam Nodzak. Their teamwork fosters innovation and drives advancements in their respective fields.

Conclusion

Angela Dawn Roose is a pioneering inventor whose work in data activity reconstruction and restoration frameworks has made a significant impact in technology. Her contributions continue to shape the future of data management and recovery.

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