Bengaluru, India

Smijith Pichappan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Smijith Pichappan: Innovator in Application State Prediction

Introduction

Smijith Pichappan is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of application state prediction, showcasing his expertise in machine learning and predictive analytics. His innovative work aims to enhance user experiences by accurately predicting application states.

Latest Patents

Smijith holds a patent titled "Application state prediction using component state." This patent describes systems and techniques that enable the prediction of an application's state at a future time with high levels of accuracy and specificity. The technology provides operators with sufficient warning to avert poor user experiences. Unsupervised machine learning techniques are utilized to characterize current states of applications and their underlying components in a standardized manner. The resulting data effectively provides labeled training data that can be used by supervised machine learning algorithms to build state prediction models. These models can then be deployed to predict an application's state at a specified future time. He has 1 patent to his name.

Career Highlights

Smijith is currently employed at BMC Software, Inc., where he continues to develop innovative solutions in the realm of application performance and user experience. His work is instrumental in advancing the capabilities of software applications, making them more responsive and user-friendly.

Collaborations

Some of his notable coworkers include Ajoy Kumar and Mantinder Jit Singh. Their collaborative efforts contribute to the innovative environment at BMC Software, Inc., fostering advancements in technology and application development.

Conclusion

Smijith Pichappan is a distinguished inventor whose work in application state prediction is paving the way for improved user experiences in software applications. His contributions to the field of machine learning and predictive analytics are noteworthy and continue to influence the industry.

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