Los Angeles, CA, United States of America

Dingxiong Deng

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University of Southern California. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dingxiong Deng. Retrieved from https://idiyas.com/inventor/dingxiong-deng

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovations of Dingxiong Deng

Introduction

Dingxiong Deng is a notable inventor based in Los Angeles, California. He has made significant contributions to the field of traffic prediction through his innovative patent. His work focuses on utilizing advanced models to enhance the efficiency of road networks.

Latest Patents

Dingxiong Deng holds a patent titled "Latent space model for road networks to predict time-varying traffic." This method involves receiving past traffic information from multiple locations on a road network. It determines temporal characteristics based on historical data and predicts future traffic conditions. The process includes updating these characteristics with real-time traffic information to improve accuracy.

Career Highlights

Dingxiong Deng is affiliated with the University of Southern California, where he applies his expertise in traffic prediction. His work is instrumental in developing smarter transportation systems that can adapt to changing traffic patterns.

Collaborations

Dingxiong has collaborated with esteemed colleagues such as Ugur Demiryurek and Cyrus Shahabi. Their combined efforts contribute to advancing research in traffic management and predictive modeling.

Conclusion

Dingxiong Deng's innovative approach to traffic prediction exemplifies the potential of technology in improving urban mobility. His contributions are paving the way for smarter and more efficient road networks.

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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