Westland, MI, United States of America

Zaid El Shair

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.7

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Zaid El Shair in Biometric Technology

Introduction

Zaid El Shair is an accomplished inventor based in Westland, MI (US). He has made significant contributions to the field of biometric technology, holding two patents that showcase his innovative approach to deep neural networks.

Latest Patents

Zaid's latest patents include a groundbreaking invention titled "Biometric Task Network." This invention involves a deep neural network that performs selected biometric analysis tasks. It incorporates a common feature extraction neural network, multiple task-specific neural networks, a segmentation neural network, and a landmark mesh neural network. The system is designed to input images into the common feature extraction network to determine latent variables. These latent variables are then utilized by various biometric task-specific neural networks to generate outputs for multiple biometric analysis tasks. Another patent, also named "Biometric Task Network," further enhances this technology by providing outputs from selected biometric analysis tasks based on images, utilizing similar neural network structures.

Career Highlights

Zaid El Shair is currently employed at Ford Global Technologies, LLC, where he applies his expertise in biometric technology. His work focuses on developing advanced neural network systems that improve biometric analysis capabilities.

Collaborations

Zaid collaborates with talented coworkers, including Ali Hassani and Hafiz Malik, who contribute to the innovative projects at Ford Global Technologies.

Conclusion

Zaid El Shair's contributions to biometric technology through his patents and work at Ford Global Technologies highlight his role as a leading inventor in this field. His innovative approaches continue to push the boundaries of what is possible in biometric analysis.

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