Pittsburg, PA, United States of America

Williams Fabricio Flores Yepez

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Williams Fabricio Flores Yepez: Innovator in Optical Transceiver Technology

Introduction

Williams Fabricio Flores Yepez is a notable inventor based in Pittsburg, PA (US). He has made significant contributions to the field of optical transceiver technology, particularly through his innovative patent that utilizes machine learning for tuning optical transceivers. His work is instrumental in enhancing the performance and reliability of optical communication systems.

Latest Patents

Williams holds a patent for "Optical transceiver tuning using machine learning." This invention involves a test and measurement device that connects to an optical transceiver. The device is designed to initially set operating parameters to average values, acquire a waveform from the transceiver, and measure the waveform to determine if the transceiver passes or fails. If the transceiver fails, the system sends the waveform and operating parameters to a machine learning system to obtain estimated parameters. The operating parameters are then adjusted based on these estimates, and the process is repeated until the transceiver passes.

Career Highlights

Williams Fabricio Flores Yepez is currently employed at Tektronix, Inc., where he applies his expertise in optical technologies. His innovative approach to using machine learning in optical transceiver tuning showcases his commitment to advancing technology in this field. His patent reflects his ability to integrate cutting-edge technology with practical applications.

Collaborations

Williams has collaborated with notable colleagues, including Evan Douglas Smith and John J Pickerd. Their combined expertise contributes to the innovative environment at Tektronix, Inc., fostering advancements in optical technology.

Conclusion

Williams Fabricio Flores Yepez is a pioneering inventor whose work in optical transceiver technology is shaping the future of communication systems. His innovative patent demonstrates the potential of machine learning in enhancing optical transceiver performance.

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