San Ramon, CA, United States of America

Haiming Zhao

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 1

Forward Citations = 43(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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3 patents (USPTO):Explore Patents

Title: Haiming Zhao: Innovator in Anomaly Detection and Natural Language Recommendations

Introduction

Haiming Zhao is a notable inventor based in San Ramon, CA (US). He has made significant contributions to the fields of anomaly detection and natural language processing, holding a total of 3 patents. His work focuses on enhancing the efficiency and accuracy of industrial applications.

Latest Patents

Haiming Zhao's latest patents include innovative methods for anomaly detection in industrial machines. One of his patents describes a method that involves receiving time-dependent data from a sensor linked to an oil and gas industrial machine. This method determines an anomaly score based on operating characteristics over a specified time period. The results are visually represented in a user-friendly graphical interface. Another patent focuses on generating natural language recommendations using an industrial language model. This system processes input data from one computing device and generates relevant outputs based on a predictive model tailored to the energy exploration lexicon.

Career Highlights

Throughout his career, Haiming Zhao has worked with prominent companies, including Microsoft Technology Licensing, LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Haiming has collaborated with talented individuals such as Arun Karthi Subramaniyan and Xuan Zhu. These partnerships have fostered a creative environment that encourages the exchange of ideas and expertise.

Conclusion

Haiming Zhao's contributions to anomaly detection and natural language processing demonstrate his commitment to innovation in industrial applications. His patents reflect a deep understanding of technology and its potential to improve operational efficiency.

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