Riyadh, Saudi Arabia

Nahed Abdullah Alarifi

This inventor holds 1 USPTO granted patent. Top assignee: King Saud University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nahed Abdullah Alarifi. Retrieved from https://idiyas.com/inventor/nahed-abdullah-alarifi

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nahed Abdullah Alarifi: Inventor of a Tunable MWIR Camera

Introduction

Nahed Abdullah Alarifi is a woman inventor based in Riyadh, Saudi Arabia. Her patent work concerns infrared imaging technology and tunable nano-sensor pixels.

Latest Patents

Alarifi is associated with 1 patent, titled “Tunable MWIR Camera Using Pixels with Nano Sensors.” The invention describes nano sensors extending from a support structure, with pixels positioned on portions of the sensors. The sensors may be coated with infrared-sensitive material, and their tuning can be adjusted by varying the material’s thickness.

The patent also describes an infrared imaging system containing an array of nano sensors and pixels. The coating materials may include vanadium oxide (VOx) or molybdenum disulfide (MoS₂), and the system is designed to operate in the mid-wave infrared (MWIR) range.

Career Highlights

Alarifi is associated with King Saud University. Her patent highlights research into nano-sensor structures and tunable mid-wave infrared imaging.

Collaborations

Her listed coworkers include Abdullah Nasser Alodhayb and Hamad Albrithen.

Conclusion

Nahed Abdullah Alarifi’s patent work at King Saud University focuses on tunable nano-sensor pixels for mid-wave infrared imaging, contributing to the development of specialized infrared camera technology.

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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