Zurich, Switzerland

Nevena Shamoska

This inventor holds 2 USPTO granted patents. Top assignee: Pxl Vision Ag. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nevena Shamoska. Retrieved from https://idiyas.com/inventor/nevena-shamoska

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


% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: Nevena Shamoska: Innovator in Identification Technology

Introduction

Nevena Shamoska is a prominent inventor based in Zurich, Switzerland. She has made significant contributions to the field of identification technology, particularly through her innovative use of deep learning techniques. With a total of 2 patents, her work focuses on enhancing user authentication processes.

Latest Patents

Nevena's latest patents include a system for ID verification with a mobile device. This system enables remote identification of users by utilizing deep learning techniques to authenticate individuals from their identification documents. It automates the verification process by validating security features present in these documents. The system is designed to determine expected features in valid identification documents and assess their presence. Additionally, it employs techniques to identify direction-sensitive features. The liveness of a user, as indicated by the identification document, is determined using a deep learning model trained to detect facial spoofing attacks.

Another notable patent is her work on facial liveness detection with a mobile device. Similar to her ID verification system, this technology uses deep learning for authenticating users from identification documents. It also includes automated verification and ensures that a live person is present during the identification process. The deep learning model for this system is trained using data extracted from facial feature locations in training images.

Career Highlights

Nevena Shamoska is currently employed at Pxl Vision AG, where she continues to develop innovative solutions in the field of identification technology. Her expertise in deep learning and user authentication has positioned her as a key player in her industry.

Collaborations

Throughout her career, Nevena has collaborated with talented individuals such as Marcus Hudritsch and Suman Saha. These partnerships have contributed to the advancement of her projects and the successful implementation of her technologies.

Conclusion

Nevena Shamoska is a trailblazer in the realm of identification technology, with her innovative patents paving the way for more secure and efficient user authentication methods. Her contributions are shaping the future of how we verify identities in a digital world.

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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