Rebecca J Passonneau

Title: Rebecca J Passonneau: Innovator in Machine Learning for Power Grids

Introduction

Rebecca J Passonneau is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of machine learning, particularly in applications related to electrical grids. Her innovative work has led to the development of a unique patent that addresses critical issues in power grid management.

Latest Patents

Rebecca holds a patent for a machine learning system designed for ranking a collection of filtered propensity to failure metrics of like components within an electrical grid. This system includes a raw data assembly that provides representative raw data of the components, a data processor that converts this raw data into more uniform data, and a database for storing the processed data. Additionally, it features a machine learning engine that generates propensity to failure metrics, an evaluation engine that filters non-compliant metrics, and a decision support application that displays a ranking of these metrics.

Career Highlights

Throughout her career, Rebecca has worked with esteemed organizations such as Columbia University and Consolidated Edison Company of New York, Inc. Her experience in these institutions has allowed her to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Rebecca has collaborated with notable colleagues, including Roger N Anderson and Albert Boulanger. These partnerships have enriched her work and expanded the impact of her innovations.

Conclusion

Rebecca J Passonneau is a trailblazer in the integration of machine learning with power grid technology. Her patent and career achievements reflect her dedication to advancing the field and improving electrical grid management.