Hangzhou, China

Pan Lv

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignees: Zhejiang Lab, Zhejiang University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pan Lv. Retrieved from https://idiyas.com/inventor/pan-lv

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: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Pan Lv

Introduction

Pan Lv is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of brain-inspired computing. His innovative work focuses on enhancing the efficiency of neural task routing within computer systems.

Latest Patents

Pan Lv holds a patent for a device and method of intra-chip routing of neural tasks for the operating system of a brain-inspired computer. This patent outlines a method that includes determining an area defined by target cores and identifying target cores in a row furthest from an edge routing area. The method also involves configuring target cores based on a far-to-near principle and searching for relay routing cores and nearest edge routing cores using a shortest path approach.

Career Highlights

Throughout his career, Pan Lv has worked with prominent institutions such as Zhejiang Lab and Zhejiang University. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of computing.

Collaborations

Pan has collaborated with notable colleagues, including Fengjuan Wang and Min Kang. Their joint efforts have contributed to advancements in their respective fields.

Conclusion

Pan Lv's work exemplifies the intersection of innovation and technology in brain-inspired computing. His contributions continue to influence the development of advanced computing systems.

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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