San Diego, CA, United States of America

Fatih Murat Porikli

This inventor holds 58 USPTO granted patents and 87 published patent applications and 5 EPO patents, primarily in Image Processing. Top assignee: Qualcomm Incorporated. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fatih Murat Porikli. Retrieved from https://idiyas.com/inventor/fatih-murat-porikli

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

USPTO Granted Patents = 58 

% Patents Active = 98.3

 

Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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Areas of Expertise:
Diffusion Models
3D Object Detection
Attention-Based Refinement
Human Instance Segmentation
Optical Flow
Machine Learning
Domain Adaptation
Biometric Authentication
Video Processing
Semantic Information
Neural Networks
Sparse Convolution
58 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Fatih Murat Porikli

Introduction

Fatih Murat Porikli is a distinguished inventor based in San Diego, California, boasting an impressive portfolio of 19 patents. His innovative work primarily focuses on advancements in biometric authentication systems and image segmentation, reflecting his deep expertise in machine learning and artificial intelligence.

Latest Patents

Among his latest contributions to technology is the patent titled "Adaptive personalization for anti-spoofing protection in biometric authentication systems." This invention provides advanced techniques for refining biometric authentication models through online data. The process begins with receiving a biometric data input, extracting features through a machine learning model, and assessing the authenticity of the input using another machine learning model. This innovation not only enhances security but also adapts the recognition model to improve accuracy over time.

Another of his notable patents is for "Apparatus and methods for image segmentation using machine learning processes." This invention outlines a method for processing images to generate input feature and segmentation data effectively. It utilizes reference images to optimize image classification further, blending input and reference segmentation data to produce high-quality outputs. This technology holds great potential for applications in numerous fields, including medical imaging and computer vision.

Career Highlights

Fatih Murat Porikli currently works at Qualcomm Incorporated, a leading company specializing in wireless technology and digital communication. His role involves significant research and development, contributing to Qualcomm's cutting-edge projects in artificial intelligence and machine learning. His ingenuity and commitment to innovation have propelled advancements in the tech industry.

Collaborations

Throughout his career, Porikli has collaborated with talented individuals such as Jamie Menjay Lin and Yizhe Zhang. These partnerships highlight a cooperative approach to innovation, pooling expertise to tackle complex technological challenges and push the boundaries of what is possible in their respective fields.

Conclusion

Fatih Murat Porikli exemplifies the spirit of innovation essential for advancing technology in our society. With his substantial patent portfolio and ongoing contributions at Qualcomm, he remains a key figure in the fields of biometric authentication and image processing. His work not only influences current technologies but also shapes the future of digital security and machine learning applications.

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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