Beijing, China

Kailong Gao

This inventor holds 1 USPTO granted patent. Top assignee: Beijing University of Civil Engineering and Architecture. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kailong Gao. Retrieved from https://idiyas.com/inventor/kailong-gao

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


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Kailong Gao: Innovator in Rock Burst Prediction Technology

Introduction

Kailong Gao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of rock burst prediction through his innovative methods and devices. His work focuses on utilizing big data visualization analysis to enhance the accuracy of predictions in geological settings.

Latest Patents

Kailong Gao holds a patent for a "K-nearest neighbour rock burst prediction method and device based on big data visualization analysis." This patent outlines a method that includes obtaining spectrum characteristics and amplitude/energy characteristics of rocks based on rock data. The K-nearest neighbour algorithm is then employed to accurately predict rock bursts, thereby helping to prevent significant economic losses and casualties.

Career Highlights

Kailong Gao is affiliated with the Beijing University of Civil Engineering and Architecture. His role at the university allows him to engage in research and development in the field of civil engineering, particularly focusing on rock mechanics and prediction technologies.

Collaborations

Kailong Gao has collaborated with notable colleagues, including Yu Zhang and Mingkui Zhang. Their combined expertise contributes to advancing research in rock burst prediction and related fields.

Conclusion

Kailong Gao's innovative approach to rock burst prediction exemplifies the importance of integrating technology and data analysis in geological research. His contributions are vital for enhancing safety and efficiency in civil engineering projects.

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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