Slidell, LA, United States of America

Yifei Philip Chu


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2014-2016

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2 patents (USPTO):Explore Patents

Title: Yifei Philip Chu: Innovator in Coastal Prediction Systems

Introduction

Yifei Philip Chu is a notable inventor based in Slidell, Louisiana. He has made significant contributions to the field of coastal prediction systems, focusing on automated methods for forecasting tidal heights and currents. With a total of 2 patents, his work is instrumental in enhancing the accuracy of environmental predictions.

Latest Patents

Yifei Philip Chu's latest patents include an automated method and system for predicting high-resolution tidal heights and currents in coastal zones. This innovative system allows for the automatic and regular prediction of water levels and currents in coastal areas without the need for operator intervention. The technology utilizes a grid and a computer forecast model, enabling accurate predictions in complex shoreline and bathymetry regions. Key features of this system include single or parallel processing capability, optimal processor assignment based on the size of the computing domain, and integration of various data sources for improved accuracy.

Career Highlights

Yifei Philip Chu is currently associated with the United States Navy, where he contributes his expertise in developing advanced forecasting systems. His work is crucial for operational forecasts that require timely and precise data, which is essential for coastal management and safety.

Collaborations

Throughout his career, Yifei has collaborated with notable colleagues, including Cheryl Ann Blain and Robert S Linzell. These partnerships have furthered the development of innovative solutions in the field of coastal predictions.

Conclusion

Yifei Philip Chu stands out as a key figure in the innovation of coastal prediction systems. His patents reflect a commitment to advancing technology that benefits environmental forecasting and management. His contributions are vital for improving the accuracy and efficiency of tidal predictions in complex coastal environments.

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