Saratoga, CA, United States of America

Mei Wang

This inventor holds 24 USPTO granted patents and 17 published patent applications and 1 EPO patent, primarily in IoT Security. Top assignees: Palo Alto Networks, Inc., Zingbox, Ltd.. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mei Wang. Retrieved from https://idiyas.com/inventor/mei-wang-2obicpk9

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

USPTO Granted Patents = 24 

% Patents Active = 79.2

 

Average Co-Inventor Count = 3.6

ph-index = 4

Forward Citations = 96(Granted Patents)


Company Filing History:


Years Active: 2017-2026

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Areas of Expertise:
Cybersecurity
IoT Security
Large Language Models
Threat Detection
Network Traffic
Anomalous Behavior
Packet Analysis
Risk Assessment
Generative AI
Vulnerability Management
Deep Packet Inspection
Adversarial Training
24 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Inventor Mei Wang

Introduction

Mei Wang is a prominent inventor based in Saratoga, California, known for her significant contributions to the field of cybersecurity and Internet of Things (IoT) technology. With a total of 16 patents to her name, she has made remarkable strides in developing innovative solutions to address modern technological challenges.

Latest Patents

One of her latest patents is titled "Adversarial training for malicious protocol data unit detection with field value perturbations." This invention involves a modular adversarial training data generator that creates adversarial training data for machine learning models aimed at detecting malicious protocol data units (PDUs). The generator simulates high-volume cyberattacks by perturbing PDUs to evade detection systems. For Hypertext Transfer Protocol (HTTP) PDUs, the generator rearranges, replaces, and grid searches values of HTTP header fields to produce the adversarial training data. Additionally, it biases the grid search based on metrics that assess the impact of value replacements on the malicious verdicts made by machine learning models trained on this data.

Another notable patent is related to "IoT device risk assessment." In this invention, an IoT device profile is established, and data packets transmitted to and from the device are analyzed. The risk level of the IoT device is determined based on this analysis. If the risk level exceeds a predetermined threshold, appropriate remedial actions are initiated.

Career Highlights

Mei Wang has worked with several esteemed companies, including Palo Alto Networks, Inc. and Zingbox, Ltd. Her experience in these organizations has allowed her to refine her skills and contribute to groundbreaking advancements in cybersecurity and IoT technologies.

Collaborations

Throughout her career, Mei has collaborated with talented individuals such as Gong Cheng and Xu Zou. These partnerships have fostered innovation and have been instrumental in the development of her patented technologies.

Conclusion

Mei Wang's contributions to the fields of cybersecurity and IoT are noteworthy, as evidenced by her numerous patents and collaborations. Her innovative solutions continue to shape the landscape of technology, making her a significant figure in her field.

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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