Ann Arbor, MI, United States of America

Z Morley Mao


Average Co-Inventor Count = 5.1

ph-index = 2

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2012-2019

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2 patents (USPTO):Explore Patents

Title: Z Morley Mao: Innovator in Machine Learning and Data Center Services

Introduction

Z Morley Mao is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the fields of machine learning and data center services. With a total of 2 patents, his work focuses on enhancing the quality of experience in telecommunications and optimizing resource management in data centers.

Latest Patents

Mao's latest patents include "Machine learning-based troubleshooting of VoLTE calls" and "Capacity planning for data center services." The first patent describes a VoLTE diagnostic engine that analyzes call records to identify critical features leading to Quality of Experience (QoE) problems. This innovative approach utilizes decision trees and classifiers to determine root causes of issues in VoLTE calls. The second patent outlines techniques for capacity planning in data centers, focusing on query response times and resource management. It employs various modeling techniques to optimize performance based on user request rates.

Career Highlights

Throughout his career, Z Morley Mao has worked with notable companies such as Microsoft Technology Licensing, LLC and T-Mobile USA, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in telecommunications and data management.

Collaborations

Mao has collaborated with esteemed colleagues, including Ming Zhang and Paramvir Bahl. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Z Morley Mao is a distinguished inventor whose work in machine learning and data center services has made a significant impact on the industry. His innovative patents reflect his commitment to improving technology and enhancing user experiences.

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