Brighton, United Kingdom

Mahyar Hamedi

USPTO Granted Patents = 2 


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Mahyar Hamedi: Innovator in Biometric Authentication Systems

Introduction

Mahyar Hamedi is a notable inventor based in Brighton, GB. He has made significant contributions to the field of biometric authentication, particularly through his innovative systems that utilize muscle activity for user identification. With a total of 2 patents to his name, Hamedi is recognized for his cutting-edge work in this emerging technology.

Latest Patents

Hamedi's latest patents focus on a biometric authentication system that incorporates headwear equipped with multiple biosensors. These biosensors are designed to sample muscle activity, generating time-varying signals that can be analyzed. The system includes a data store that holds a dataset representing the characteristic muscle activity of one or more users. A processor processes the time-varying signals in relation to the stored data, determining a correspondence between the signals and the characteristic muscle activity of the users. This innovative approach allows for the authentication of users based on their unique muscle activity patterns.

Career Highlights

Hamedi is currently employed at Emteq, Inc., where he continues to develop and refine his biometric systems. His work has positioned him as a key player in the field of biometric technology, contributing to advancements that enhance security and user identification processes.

Collaborations

Throughout his career, Hamedi has collaborated with notable colleagues, including Charles Nduka and Graeme Cox. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Mahyar Hamedi's contributions to biometric authentication systems highlight his role as an influential inventor in the technology sector. His innovative approaches to user identification through muscle activity are paving the way for future advancements in security technology.

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