Cairo, Egypt

Farida Shafik

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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8 patents (USPTO):Explore Patents

Title: Farida Shafik: Innovator in Data Bias Detection and Access Control

Introduction

Farida Shafik is a prominent inventor based in Cairo, Egypt, known for her contributions to technology and data management. With a total of eight patents to her name, she has made significant strides in addressing representation bias in data sets and enhancing data access control mechanisms.

Latest Patents

One of her latest patents focuses on detecting representative bias within image data sets. This innovative method involves training a bias detection engine using a sufficiently diversified and unbiased data set. Once trained, the engine can evaluate test data sets to determine the level of representation bias present. The results can be visually conveyed to users, along with suggestions for reducing the bias by modifying the data set. Another notable patent involves classifying data and enforcing data access control using a context-based hierarchical policy. This method streamlines the process of granting data access by validating user and data metadata against established access rules.

Career Highlights

Farida has worked with notable companies such as EMC IP Holding Company LLC and Dell Products Inc. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to advancements in data management and technology.

Collaborations

Farida has collaborated with talented individuals in her field, including Nicole Reineke and Shary Beshara. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Farida Shafik's work in detecting data bias and enhancing access control demonstrates her commitment to improving technology and data management practices. Her contributions are paving the way for more equitable and efficient data usage in various applications.

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