Holly Springs, MD, United States of America

Charles Ethan Hayes


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Charles Ethan Hayes: Innovator in Machine Learning Technology

Introduction

Charles Ethan Hayes is a notable inventor based in Holly Springs, MD (US). He has made significant contributions to the field of machine learning, particularly in monitoring the operations of devices. His innovative approach has led to the development of a unique patent that enhances the efficiency of computing platforms.

Latest Patents

Hayes holds a patent for a groundbreaking invention titled "Machine learning to monitor operations of a device." This patent describes a multi-tier machine learning engine that receives signal data characterizing a monitored signal of the computing platform. The machine learning engine employs frequency domain analysis on the signal data to identify applications executing on the platform, as well as modules and loops within those applications. Additionally, it utilizes time domain analysis to identify the timing of events within the identified modules and loops.

Career Highlights

Charles Ethan Hayes is currently employed at Northrop Grumman Systems Corporation, where he continues to push the boundaries of technology. His work focuses on integrating advanced machine learning techniques into practical applications, thereby improving operational efficiency and performance.

Collaborations

Hayes collaborates with talented professionals in his field, including Ann M. Pitruzzello and Matthew L. Welborn. These collaborations foster an environment of innovation and creativity, allowing for the exchange of ideas and expertise.

Conclusion

Charles Ethan Hayes is a distinguished inventor whose work in machine learning is paving the way for advancements in device monitoring technology. His contributions are not only valuable to his company but also to the broader field of technology.

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