Paris, France

Farzaneh Shahrokhi

This inventor holds 1 USPTO granted patent. Top assignee: Prophesee. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Farzaneh Shahrokhi. Retrieved from https://idiyas.com/inventor/farzaneh-shahrokhi-ej40tlh6

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Farzaneh Shahrokhi: Innovator in Vision Neuromorphic Sensors

Introduction

Farzaneh Shahrokhi is a prominent inventor based in Paris, France. He has made significant contributions to the field of vision neuromorphic sensors, showcasing his innovative spirit and technical expertise.

Latest Patents

Shahrokhi holds a patent for "Global and cluster contrast detection in vision neuromorphic sensors." This invention involves an event-based vision sensor that comprises an array of pixel circuits, each configured to produce a respective photocurrent. The array of pixel circuits is divided into one or more clusters of multiple pixel circuits. Additionally, a cluster control circuit is configured, for each cluster, to generate (i) a summation of the photocurrents produced by the pixel circuits of the cluster and (ii) cluster events based on changes in the summation of the photocurrents. He has 1 patent to his name.

Career Highlights

Farzaneh Shahrokhi is currently employed at Prophesee, a company known for its cutting-edge work in neuromorphic vision technology. His role at Prophesee allows him to further develop his innovative ideas and contribute to advancements in the field.

Collaborations

One of his notable coworkers is Thomas Finateu, with whom he collaborates on various projects related to vision sensors.

Conclusion

Farzaneh Shahrokhi is a key figure in the development of vision neuromorphic sensors, with a focus on enhancing the capabilities of event-based vision technology. His work continues to influence the field and drive innovation forward.

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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