San Diego, CA, United States of America

Guang Chao Wang

This inventor holds 59 USPTO granted patents and 21 published patent applications and 10 EPO patents, primarily in Machine Learning Applications. Top assignee: Oracle International Corporation. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Guang Chao Wang. Retrieved from https://idiyas.com/inventor/guang-chao-wang

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

USPTO Granted Patents = 59 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 96(Granted Patents)

Forward Citations (Not Self Cited) = 18(Dec 10, 2025)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Machine Learning
Decision Rationales
Anomaly Detection
Time-Series Analysis
Prognostic Surveillance
Signal Processing
Acoustic Detection
Sensor Anomalies
Data Calibration
EMI Fingerprinting
Pattern Recognition
Gait Measurement
59 patents (USPTO):Explore Patents

Title: Guang Chao Wang: Innovator in Data Center Optimization and Machine Learning

Introduction

Guang Chao Wang is a notable inventor based in San Diego, CA, known for his contributions to the fields of data center optimization and machine learning. With a remarkable portfolio of 32 patents, Wang has established himself as a leader in innovation, particularly in developing systems that enhance performance and efficiency in technological applications.

Latest Patents

Wang's latest patents showcase his expertise in data processing and configuration. One of his significant works is titled “Pattern-recognition enabled autonomous configuration optimization for data centers.” This invention emphasizes a model-based approach to optimize data center configurations by utilizing environmental chambers to evaluate performance under various temperature and altitude conditions. The approach includes recording telemetry data during stress workloads, which helps in training a library of models for future data center configurations.

Another groundbreaking patent is “Geometric aging data reduction for machine learning applications.” In this patent, Wang introduces methods for processing time-series datasets, which enhance machine learning models by balancing reduced and non-reduced data time-series. This enables the system to effectively detect multivariate anomalies and derive analytic insights, significantly benefiting organizations relying on advanced data analyses.

Career Highlights

Guang Chao Wang currently works at Oracle International Corporation, where his innovative efforts contribute to the company's technological advancements. Throughout his career, he has been recognized for developing practical solutions that streamline operations in complex environments, particularly in cloud computing and machine learning.

Collaborations

Wang collaborates with notable colleagues such as Kenny C. Gross and Edward R. Wetherbee, with whom he shares a commitment to innovation. Together, they work on projects that push the boundaries of technology, ensuring that their contributions are not only theoretical but applicable in real-world scenarios.

Conclusion

With an impressive array of patents and a clear focus on improving data center efficiency and machine learning applications, Guang Chao Wang remains a key figure in the tech industry. His work not only enhances the performance of data centers but also paves the way for the future of intelligent systems. As he continues his journey in innovation, the potential for further advancements from him and his collaborators remains immense.

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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