This inventor holds 4 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2019-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2021
Title: Nezihe Merve Guerel: Innovator in Noise Reduction Technology
Introduction
Nezihe Merve Guerel is a prominent inventor based in Rueschlikon, Switzerland. She has made significant contributions to the field of noise reduction in phased-array signals. With a total of 4 patents to her name, Guerel is recognized for her innovative approaches to enhancing signal processing technologies.
Latest Patents
One of her latest patents focuses on a computerized method to reduce noise in phased-array signals from receivers located at different locations. In this method, time-series data is received from the receivers, which form phased-array signals. The time-series are organized based on the various locations of the receivers, leading to the creation of spatially phased series. Each of these series contains signal values that are spatially phased. A noise component is identified and removed from each spatially phased series, resulting in denoised series. This invention also includes related receiver systems and computer program products.
Career Highlights
Nezihe Merve Guerel is currently employed at International Business Machines Corporation (IBM). Her work at IBM has allowed her to further develop her expertise in signal processing and noise reduction technologies.
Collaborations
Throughout her career, Guerel has collaborated with notable colleagues, including Paul T Hurley and Matthieu Martin Jean-Andre Simeoni. These collaborations have contributed to her innovative work and the advancement of technology in her field.
Conclusion
Nezihe Merve Guerel is a trailblazer in the realm of noise reduction technology, with a strong portfolio of patents and a commitment to innovation. Her contributions continue to impact the field of signal processing significantly.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
