Heilongjiang, China

Gang Li

This inventor holds 1 USPTO granted patent. Top assignee: Harbin Engineering University. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gang Li. Retrieved from https://idiyas.com/inventor/gang-li-sdy6t9ql

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

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Average Co-Inventor Count = 10.0

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Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations of Gang Li in Marine Environment Data Assimilation

Introduction

Gang Li is a notable inventor based in Heilongjiang, China. He has made significant contributions to the field of marine environment data assimilation. His innovative approach addresses critical challenges in effectively extracting multi-scale information from marine data.

Latest Patents

Gang Li holds a patent for an "actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation." This invention provides a method that includes preprocessing marine environment data, calculating target function values, and updating background field data to form a final data assimilation analysis field. The method improves traditional recursive filtering techniques by allowing for the sequential assimilation of information at different scales. This advancement effectively overcomes limitations associated with traditional three-dimensional variation methods.

Career Highlights

Gang Li is affiliated with Harbin Engineering University, where he continues to contribute to research and innovation in marine sciences. His work has garnered attention for its practical applications in environmental monitoring and data analysis.

Collaborations

Gang Li collaborates with colleagues such as Yuxin Zhao and Chang Liu, enhancing the research output and innovation potential within his field.

Conclusion

Gang Li's contributions to marine environment data assimilation exemplify the importance of innovation in addressing complex environmental challenges. His patented methods represent a significant step forward in the field, showcasing the potential for improved data analysis techniques.

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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