Shanghai, China

Haoqi Hu

This inventor holds 1 USPTO granted patent. Top assignee: Tongji University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haoqi Hu. Retrieved from https://idiyas.com/inventor/haoqi-hu-n32u1zz9

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

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% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Haoqi Hu in Real-Time Optimization

Introduction

Haoqi Hu is a notable inventor based in Shanghai, China. He has made significant contributions to the field of model prediction control through his innovative patent. His work focuses on enhancing the efficiency and real-time capabilities of predictive systems.

Latest Patents

Haoqi Hu holds a patent titled "Method for real-time optimization and parallel computing of model prediction control based on computing chart." This patent describes a method that involves building a prediction model of a system state and a target function. It also details the construction of a parallel computing architecture to optimize control amounts in real-time. The method employs a triggering parallel computing approach to synchronize computations, ultimately improving computing efficiency and extending the application fields of model prediction control.

Career Highlights

Haoqi Hu is affiliated with Tongji University, where he contributes to research and development in his area of expertise. His work has garnered attention for its practical applications and innovative approach to solving complex problems in real-time optimization.

Collaborations

Haoqi Hu has collaborated with notable colleagues, including Hong Chen and Qiang Meng. Their combined efforts in research have further advanced the field of model prediction control.

Conclusion

Haoqi Hu's contributions to real-time optimization and parallel computing represent a significant advancement in the field of model prediction control. His innovative methods enhance computing efficiency and broaden the scope of applications in this critical area of technology.

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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