Company Filing History:
Years Active: 2023
Title: Reda Igbaria: Pioneer in Predicting Code Vulnerabilities
Introduction
Reda Igbaria, an innovative inventor based in Umm el Fahem, Israel, is making his mark in the field of cybersecurity. With a focus on harnessing machine learning for safer coding practices, Reda has developed a patented technology that addresses a critical need in software development.
Latest Patents
Reda's patent, titled "Predicting Code Vulnerabilities Using Machine Learning Classifier Models Trained on Internal Analysis States," introduces a sophisticated system. This system utilizes a processor that receives a source code sample for classification. It executes a hybrid code analysis to generate an internal analysis state. Features are then extracted using a trained machine learning model, which has been modified using transfer learning. Ultimately, the processor generates a label based on the extracted features through a machine learning classifier model that has been trained on internal analysis states of hybrid code analyses.
Career Highlights
Reda Igbaria is a valued member of International Business Machines Corporation (IBM). His role there allows him to collaborate with some of the brightest minds in the tech industry, contributing significantly to advancements in machine learning and its application in software security.
Collaborations
In his journey at IBM, Reda has the pleasure of working alongside talented colleagues such as Fady Copty and Shai Doron. Together, they are pushing the boundaries of what is possible in technology and enhancing the security of software development through innovative solutions.
Conclusion
In summary, Reda Igbaria stands out as an influential inventor dedicated to improving software security through machine learning. His pioneering patent showcases his commitment to advancing technology, making a meaningful impact in the field of cybersecurity. As he continues his work at IBM, the future looks bright for innovations stemming from his expertise and collaborations.