Sorrento, FL, United States of America

David L Ubert


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: David L Ubert: Innovator in Pumping Efficiency Technology

Introduction

David L Ubert is a notable inventor based in Sorrento, FL (US). He has made significant contributions to the field of mechanical systems through his innovative patent. His work focuses on enhancing the efficiency of pumping systems by leveraging machine learning technologies.

Latest Patents

David L Ubert holds a patent for a "Pumping efficiency apparatus and method." This invention provides functionality to control real-world mechanical systems by creating and deploying machine learning models. The patent outlines a method for extracting efficiency indicators and operational characteristics from characteristic curves of devices within a mechanical system. By training a machine learning model with a comprehensive dataset, the invention predicts the efficiency of the mechanical system based on operating data. Ubert's patent represents a significant advancement in the integration of machine learning with mechanical engineering.

Career Highlights

David L Ubert is currently employed at CDM Smith Inc., where he applies his expertise in mechanical systems and machine learning. His work at the company has allowed him to contribute to various projects that aim to improve operational efficiency in engineering applications. Ubert's innovative approach has positioned him as a valuable asset in his field.

Collaborations

Throughout his career, David has collaborated with talented professionals, including Patrick R McCafferty and Janardhanan Vinoth Upendra. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

David L Ubert's contributions to the field of pumping efficiency through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances mechanical systems but also showcases the potential of machine learning in engineering applications.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…