Company Filing History:
Years Active: 2023-2025
Title: Tingting Feng: Innovator in Neurological Disease Models and Electronic Devices
Introduction
Tingting Feng is a prominent inventor based in Beijing, China. She has made significant contributions to the fields of data analysis technology and electronic devices. With a total of 2 patents, her work focuses on innovative methods and systems that enhance research and technology.
Latest Patents
One of her latest patents is titled "Method and system for recommendation and comparative analysis of animal model of neurological diseases." This invention provides a comprehensive method for analyzing animal models related to neurological diseases. The process involves obtaining relevant literature, extracting information, preprocessing data to identify phenotypes, and constructing a database for comparative analysis. This system ultimately aids in determining recommended models based on user input.
Another notable patent is for an "Electronic device" that features a display assembly capable of changing angles and lengths. This device includes a first and second part that can adjust relative to each other, enhancing user interaction and functionality. The design incorporates a fixing assembly that ensures stability while allowing for flexibility in use.
Career Highlights
Tingting Feng has worked with notable companies such as Lenovo Limited and the Institute of Laboratory Animal Sciences, CAMS & PUMC. Her experience in these organizations has contributed to her expertise in developing innovative solutions in her field.
Collaborations
Tingting has collaborated with esteemed colleagues, including Yuefeng Su and Qi Kong. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Tingting Feng is a remarkable inventor whose work in neurological disease models and electronic devices showcases her innovative spirit. Her contributions continue to impact the fields of data analysis and technology, paving the way for future advancements.