Beijing, China

Tingting Huang

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.2

ph-index = 1


Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Tingting Huang

Introduction

Tingting Huang is a prominent inventor based in Beijing, China. She has made significant contributions to the field of technology, particularly in software testing and fault diagnosis techniques. With a total of three patents to her name, her work is recognized for its innovative approaches and practical applications.

Latest Patents

One of her latest patents is a "Construction method of test case constraint control technology based on epigenetics." This method involves several steps, including defining a fitness function, initializing parameters, and performing evolution termination judgment. The goal is to design test cases that align more closely with actual software operation conditions, thereby identifying potential software failures and enhancing software testing quality.

Another notable patent is the "Method for establishing fault diagnosis technique based on contingent Bayesian networks." This method outlines a systematic approach to determining the domain of an unknown object, defining a model structure, and reasoning faults using a Markov chain Monte Carlo Method. This innovative technique aims to improve fault diagnosis in complex systems.

Career Highlights

Tingting Huang is affiliated with Beihang University, where she continues to advance her research and development efforts. Her work has garnered attention for its potential to revolutionize software testing and fault diagnosis.

Collaborations

Tingting collaborates with esteemed colleagues, including Shunkun Yang and Xiaodong Gou. Their combined expertise contributes to the advancement of their research initiatives.

Conclusion

Tingting Huang's innovative patents and contributions to technology highlight her role as a leading inventor in her field. Her work not only enhances software testing methodologies but also paves the way for future advancements in fault diagnosis techniques.

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