Company Filing History:
Years Active: 2023-2024
Title: Innovations of Xiaoxiao Wen
Introduction
Xiaoxiao Wen is a prominent inventor based in Guangzhou, China. She has made significant contributions to the field of optical engineering, particularly in the development of advanced measurement methods and systems. With a total of 2 patents, her work showcases her expertise and innovative spirit.
Latest Patents
One of her latest patents is an "Intelligent real-time full-field measurement method and system for high-repetition-rate femtosecond pulse." This invention discloses a method that includes splitting a to-be-tested signal into multiple channels, performing frequency reduction separation, and acquiring time-domain intensity and frequency-domain envelope information through iterative algorithms. This advancement is crucial for precise measurements in high-speed optical applications.
Another notable patent is a "Light pulse signal processing system comprising a cylindrical lens to provide a signal light pulse having a spatial angle chirp incident on a pair of long mirrors at different angles." This system involves generating a signal light pulse, converting it into a spatial angle chirp, and analyzing the combined light pulses using a light signal analysis device. This innovation enhances the efficiency of light pulse processing in various applications.
Career Highlights
Xiaoxiao Wen is affiliated with the South China University of Technology, where she continues to engage in cutting-edge research and development. Her academic background and professional experience have positioned her as a leader in her field.
Collaborations
She has collaborated with notable colleagues, including Zhongmin Yang and Xiaoming Wei, contributing to various research projects and innovations.
Conclusion
Xiaoxiao Wen's contributions to optical engineering through her patents and research at the South China University of Technology highlight her role as an influential inventor. Her work continues to pave the way for advancements in measurement and signal processing technologies.