Palo Alto, CA, United States of America

Mi Zhang


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):

Title: Mi Zhang - Innovator in Performance Testing

Introduction

Mi Zhang is a talented inventor based in Palo Alto, CA (US). She has made significant contributions to the field of performance testing through her innovative patent. Her work focuses on enhancing the analysis of time series data, which is crucial for various applications in technology and data science.

Latest Patents

Mi Zhang holds a patent titled "Performance testing based on variable length segmentation and clustering of time series data." This patent discloses a system that includes a training module, a performance testing module, and an interface module. The training module generates a trained model to learn characteristics of a system of interest from training time series data. It does this by segmenting the training time series data into homogeneous windows of variable length, clustering the segments to identify patterns, and associating each cluster with a cluster score. The performance testing module analyzes system characteristics from testing time series data by receiving the testing time series data and determining a performance metric based on the trained model. The interface module is communicatively linked to the performance testing module and provides the performance metric via an interactive graphical user interface. Mi Zhang has 1 patent to her name.

Career Highlights

Mi Zhang is currently employed at Micro Focus LLC, where she continues to develop her expertise in performance testing and data analysis. Her innovative approach has positioned her as a key player in her field.

Collaborations

Mi Zhang collaborates with talented individuals such as Gowtham Bellala and Geoff M Lyon. These partnerships enhance her work and contribute to the advancement of performance testing technologies.

Conclusion

Mi Zhang is a remarkable inventor whose contributions to performance testing are noteworthy. Her innovative patent demonstrates her commitment to improving data analysis techniques. Her work continues to influence the field and inspire future innovations.

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