Tallahassee, FL, United States of America

Heather Fuller

This inventor holds 4 USPTO granted patents. Top assignee: C/hca, Inc.. Active years: 2022-2026.


% Patents Active = 100.0

Average Co-Inventor Count = 15.8

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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4 patents (USPTO):Explore Patents

Title: Heather Fuller: Innovator in Predictive Modeling

Introduction

Heather Fuller is a talented inventor based in Tallahassee, FL (US). She has made significant contributions to the field of predictive modeling, holding a total of 4 patents. Her work focuses on identifying anomaly events, which has important implications for automated systems.

Latest Patents

One of Heather's latest patents involves utilizing predictive modeling to identify anomaly events. This patent outlines approaches for a prediction model that determines whether an authorized user is associated with at least one anomaly event. The system receives data from various sources, including monitored units of an automated storage and retrieval location. It also processes request data related to the execution of controlled units by authorized users. The prediction model uses this data to ascertain if the authorized user is linked to any anomaly events, particularly concerning the diversion of monitored units away from target users. The system then presents this prediction for review.

Career Highlights

Heather Fuller has established herself as a key figure in her field through her innovative work at C/HCA, Inc. Her expertise in predictive modeling has positioned her as a leader in developing systems that enhance operational efficiency and security.

Collaborations

Throughout her career, Heather has collaborated with notable colleagues, including George Tucker and Sarah Dhane. These partnerships have contributed to her success and the advancement of her projects.

Conclusion

Heather Fuller is a remarkable inventor whose work in predictive modeling is paving the way for advancements in automated systems. Her contributions are vital to understanding and mitigating anomaly events in various applications.

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