Headington, United Kingdom

Sharib Ali

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Oxford University Innovation Ltd. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Sharib Ali

Introduction

Sharib Ali is a notable inventor based in Headington, GB. He has made significant contributions to the field of video endoscopy through his innovative patent. His work focuses on enhancing the quality assessment of video images captured during endoscopic procedures.

Latest Patents

Sharib Ali holds a patent for a groundbreaking invention titled "Quality assessment in video endoscopy." This invention involves an analysis apparatus that processes a video image signal consisting of successive frames from an endoscopy procedure. A machine learning block is employed to analyze the video image signal, classifying regions of the frames into various classes that correspond to different types of image artifacts. These classes include a motion blur class, erroneous exposure classes, and noise artifact classes. Additionally, a quality score block derives quality scores that represent the image quality of the successive frames based on the classified regions. This innovative approach aims to improve the accuracy and reliability of video endoscopy assessments.

Career Highlights

Sharib Ali is associated with Oxford University Innovation Ltd, where he applies his expertise in developing advanced technologies. His work has garnered attention for its potential to enhance medical imaging and diagnostics.

Collaborations

Sharib collaborates with talented individuals such as Adam Bailey and Xin Lu, contributing to a dynamic research environment that fosters innovation and creativity.

Conclusion

Sharib Ali's contributions to the field of video endoscopy through his innovative patent demonstrate his commitment to advancing medical technology. His work not only enhances the quality of endoscopic procedures but also showcases the potential of machine learning in healthcare applications.

Profile summary based on public USPTO records.
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