Singapore, Singapore

Shanshan Peng

USPTO Granted Patents = 4 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024

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4 patents (USPTO):Explore Patents

Title: Innovations of Shanshan Peng in Image Forgery Detection

Introduction

Shanshan Peng is an accomplished inventor based in Singapore, known for her significant contributions to the field of image forgery detection. With a total of four patents to her name, she has developed advanced systems that utilize machine learning techniques to enhance the authenticity verification of electronic images and documents.

Latest Patents

One of her latest patents is titled "Image Forgery Detection via Pixel-Metadata Consistency Analysis." This innovative system receives an electronic image from a client device and analyzes both a pixel vector and an image metadata vector to determine the authenticity of the image. By employing machine learning models, the system can effectively identify whether the image is authentic or forged.

Another notable patent is "Image Forgery Detection via Headpose Estimation." This system processes documents received from client devices and utilizes trained machine learning models to identify objects depicted in the documents. It assesses the pose of these objects to ascertain whether the document is authentic or forged, providing a validation message to the client device based on its findings.

Career Highlights

Shanshan Peng is currently employed at PayPal, Inc., where she continues to innovate in the realm of image verification technologies. Her work has garnered attention for its practical applications in enhancing security measures against digital forgery.

Collaborations

Shanshan collaborates with talented individuals such as Yuzhen Zhuo and Quan Jin Ferdinand Tang, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Shanshan Peng's contributions to image forgery detection through her patents reflect her expertise and commitment to advancing technology in this critical area. Her work not only enhances security but also sets a foundation for future innovations in image authenticity verification.

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