Mississauga, Canada

Jihad Masri

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.

USPTO Granted Patents = 2 

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Jihad Masri: Innovator in Machine Learning for Vehicle Guidance

Introduction

Jihad Masri is a notable inventor based in Mississauga, Canada. He has made significant contributions to the field of vehicular systems through his innovative patent. His work focuses on enhancing vehicle guidance using advanced machine learning techniques.

Latest Patents

Jihad Masri holds a patent titled "Efficient birds-eye view (BEV) generation in vehicular systems." This patent provides systems, methods, and devices that support machine learning techniques for vehicle guidance. The method includes receiving an image frame from an image sensor, determining a projected image frame to correct the vertical axis of the image frame, and generating a top-down representation of the environment based on the projected image frame. The projected image frame is aligned with the top-down representation's vertical axis and is projected using a cylindrical family projection. The top-down representation is produced by assembling depth and context matrices from vertically aligned pixels in the projected image frame. Jihad Masri has 1 patent to his name.

Career Highlights

Jihad Masri is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. His work at Qualcomm focuses on developing advanced systems that improve vehicle navigation and safety.

Collaborations

Jihad has collaborated with talented individuals such as Soyeb Noormohammed Nagori and Seok-Soo Hong. Their combined expertise contributes to the advancement of machine learning applications in vehicular systems.

Conclusion

Jihad Masri is a prominent inventor whose work in machine learning for vehicle guidance is paving the way for safer and more efficient transportation systems. His innovative patent reflects his commitment to advancing technology in the automotive industry.

Profile summary based on public USPTO records.
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