Atlanta, GA, United States of America

Wenqi Wei

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Wenqi Wei

Introduction

Wenqi Wei is an accomplished inventor based in Atlanta, GA. She has made significant contributions to the field of technology, particularly in the area of cybersecurity. Her innovative work focuses on machine learning applications to enhance the security of computing systems.

Latest Patents

Wenqi Wei holds a patent for a groundbreaking invention titled "Machine learning based vulnerable target identification in ransomware attack." This patent describes a processor configured to receive data associated with a computing system's file system structure. The processor can determine file patterns, file path patterns, and graph patterns associated with the system. It builds a graph structure representing these patterns, where nodes represent files and their attributes, while edges represent connectivity between the files. The processor is also designed to train two machine learning models: the first to learn a feature vector associated with a file, and the second to identify a vulnerable ransomware target.

Career Highlights

Wenqi Wei is currently employed at International Business Machines Corporation, commonly known as IBM. Her work at IBM has allowed her to collaborate with leading experts in the field and contribute to innovative projects that address pressing cybersecurity challenges.

Collaborations

Wenqi has worked alongside talented colleagues, including Mu Qiao and Eric Kevin Butler. Their collaborative efforts have further advanced the research and development of machine learning applications in cybersecurity.

Conclusion

Wenqi Wei's contributions to the field of technology, particularly in cybersecurity, demonstrate her innovative spirit and dedication to enhancing computing system security. Her patent on machine learning for ransomware target identification is a testament to her expertise and commitment to advancing technology.

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