Dhahran, Saudi Arabia

Mokhles M Mezghani

This inventor holds 1 USPTO granted patent, plus 1 CIPO patent. Top assignee: Aramco Services Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mokhles M Mezghani. Retrieved from https://idiyas.com/inventor/mokhles-m-mezghani

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mokhles M Mezghani: Innovator in Machine Learning Applications

Introduction

Mokhles M Mezghani is a prominent inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of machine learning, particularly in the area of image processing. His innovative work has garnered attention in both academic and industrial circles.

Latest Patents

Mokhles holds a patent titled "System and Method to Accelerate Core Images Acquisition and Processing Using Machine Learning." This patent reflects his expertise in leveraging machine learning techniques to enhance the efficiency of image acquisition and processing.

Career Highlights

Mokhles is currently employed at Aramco Services Company, where he applies his knowledge and skills to advance technological solutions. His work at Aramco has positioned him as a key player in the integration of machine learning within the energy sector.

Collaborations

Throughout his career, Mokhles has collaborated with notable colleagues, including Tao Lin and Weichang Li. These partnerships have contributed to the development of innovative solutions and have fostered a collaborative environment for research and development.

Conclusion

Mokhles M Mezghani is a distinguished inventor whose work in machine learning continues to impact the field of image processing. His contributions at Aramco Services Company and his innovative patent demonstrate his commitment to advancing 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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