This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Imec Vzw, University of Ghent. Active years: 2026.
Company Filing History:
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Years Active: 2026
Title: Sarah Masaad: Innovator in Photonic Machine Learning
Introduction
Sarah Masaad is a prominent inventor based in Ghent, Belgium. She has made significant contributions to the field of photonic machine learning, particularly in the area of signal recovery in self-coherent detectors. Her innovative work has the potential to enhance optical communication systems.
Latest Patents
Sarah Masaad holds a patent for a groundbreaking invention titled "Photonic machine learning based signal recovery in self-coherent detectors." This patent describes a computer-implemented method for training a self-coherent detector module to recover distorted optical transmission signals. The method involves processing devices that include an optical filter unit, a detection unit for detecting an amplitude component of an optical input, and digital signal processing circuitry. This circuitry is configured to retrieve a phase component of the optical input from the amplitude component. The method iteratively computes updates of adjustable filter coefficients based on a received dataset, ensuring improved signal recovery.
Career Highlights
Throughout her career, Sarah has worked with esteemed organizations such as Universiteit Gent and Imec Vzw. Her experience in these institutions has allowed her to collaborate with leading experts in the field and contribute to cutting-edge research.
Collaborations
One of her notable collaborators is Peter Bienstman, with whom she has worked on various projects related to photonic technologies.
Conclusion
Sarah Masaad's innovative contributions to photonic machine learning and her dedication to advancing optical communication technologies make her a noteworthy figure in the field. Her work continues to inspire future advancements in signal processing and detection methods.