Pittsburgh, PA, United States of America

Dian Li


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Dian Li

Introduction

Dian Li is an accomplished inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of industrial process control through his innovative patent. His work focuses on enhancing the efficiency and autonomy of industrial processes, showcasing his expertise and forward-thinking approach.

Latest Patents

Dian Li holds a patent for an "Autonomous industrial process control system and method that provides autonomous retraining of forecast model." This patent describes a system and method for controlling industrial processes. The method involves deploying a forecast model with training configurations that serve as a single point of truth for guiding the training and retraining of the forecast model. This process utilizes a model training algorithm that operates without human input. The system is designed to trigger retraining and redeployment of the forecast model when its performance begins to degrade.

Career Highlights

Dian Li is currently employed at Opro.ai Inc., where he continues to develop innovative solutions for industrial automation. His work is pivotal in advancing the capabilities of autonomous systems in various industrial applications. With a focus on improving operational efficiency, Dian Li's contributions are shaping the future of industrial process control.

Collaborations

Dian Li collaborates with talented professionals in his field, including Hongbao Zhang and Roey Flor. Their combined expertise fosters a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Dian Li's innovative work in autonomous industrial process control exemplifies the impact of technology on modern industry. His patent and ongoing contributions are paving the way for more efficient and autonomous industrial processes.

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