Viviana Rivera Torrico

Title: Innovator Spotlight: Viviana Rivera Torrico

Introduction

Viviana Rivera Torrico is a prominent inventor based in Mission Viejo, California. She has made significant contributions to the field of energy conservation through her innovative work in machine learning applications. Her dedication to advancing technology is evident in her patent, which focuses on optimizing energy consumption in network devices.

Latest Patents

Viviana holds a patent titled "Systems and methods for utilizing machine learning models to conserve energy in network devices." This invention involves a device that processes network data and energy consumption data using machine learning models. The goal is to identify actions that can reduce energy consumption in radio access networks (RAN). By implementing these actions, the device aims to save energy at various units within the RAN, including radio units, distributed units, and control units. This patent showcases her innovative approach to addressing energy efficiency in telecommunications.

Career Highlights

Viviana is currently employed at Verizon Patent and Licensing Inc., where she continues to develop cutting-edge technologies. Her work at Verizon highlights her commitment to leveraging machine learning for practical applications in energy conservation. With her expertise, she contributes to the company's mission of enhancing network efficiency and sustainability.

Collaborations

Viviana collaborates with talented individuals such as Jin Yang and Vishwanath Ramamurthi. These partnerships foster a creative environment that encourages innovation and the development of groundbreaking solutions in the field of telecommunications.

Conclusion

Viviana Rivera Torrico is a trailblazer in the realm of energy conservation through technology. Her patent and work at Verizon exemplify her commitment to innovation and sustainability. As she continues to push the boundaries of what is possible, her contributions will undoubtedly have a lasting impact on the industry.