Sugar Land, TX, United States of America

Hong Zhao

This inventor holds 17 USPTO granted patents and 4 published patent applications and 6 EPO patents, primarily in Predictive Analytics. Top assignees: Aspen Technology, Inc., Aspentech Corporation, Aspen Technologies, Inc.. Active years: 2002-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hong Zhao. Retrieved from https://idiyas.com/inventor/hong-zhao-uyu33puo

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 17 

% Patents Active = 94.1

 

Average Co-Inventor Count = 3.7

ph-index = 6

Forward Citations = 258(Granted Patents)


Location History:

  • Mars, PA (US) (2002)
  • Sugar Land, TX (US) (2006 - 2024)

Company Filing History:


Years Active: 2002-2026

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Areas of Expertise:
Predictive Modeling
Batch Production
Oil Well Optimization
Process Control
Data Alignment
Performance Indicators
Dynamic Models
Causality Analysis
Model Adaptation
Industrial Processes
Analytics Deployment
Historical Data
17 patents (USPTO):Explore Patents

Title: Innovations by Inventor Hong Zhao

Introduction

Hong Zhao is a prominent inventor based in Sugar Land, Texas, known for his significant contributions to the fields of oil well optimization and wind turbine analytics. With a total of 15 patents to his name, Zhao has developed innovative systems and methods that leverage artificial intelligence and machine learning to enhance operational efficiency in these industries.

Latest Patents

One of Zhao's latest patents is titled "System and methods for developing and deploying oil well models to predict wax/hydrate buildups for oil well optimization." This invention addresses the oil industry's need for effective methods to estimate wax or hydrate deposits, which are crucial for maintaining flow conditions and minimizing production downtime. By utilizing historical operational sensor data and event records, the system enables oil well practitioners to create and validate models that monitor wax or hydrate deposition status, ultimately optimizing production and maintenance.

Another notable patent is the "Method and system for building prescriptive analytics to prevent wind turbine failures." This invention focuses on generating predictive and prescriptive analytics for wind turbines by analyzing historical operational SCADA data. The system identifies normal operation data clusters and builds a model to monitor turbine performance. It can detect anomalies in real-time and provide early-action recommendations to operators, thereby enhancing the reliability of wind energy systems.

Career Highlights

Throughout his career, Hong Zhao has worked with esteemed companies such as Aspen Technology, Inc. and Aspentech Corporation. His experience in these organizations has allowed him to refine his expertise in developing advanced technological solutions for complex engineering challenges.

Collaborations

Zhao has collaborated with notable professionals in his field, including Ashok Rao and Magiel J Harmse. These partnerships have contributed to the successful development and implementation of his innovative systems.

Conclusion

Hong Zhao's work exemplifies the intersection of technology and engineering, showcasing how innovative solutions can address critical challenges in the oil and wind energy sectors. His contributions continue to influence the industry and pave the way for future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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