Beijing, China

Zihui Luo

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovating Production Scheduling: The Contributions of Zihui Luo

Introduction

Zihui Luo, an inventor based in Beijing, China, has made significant strides in the field of production scheduling through his innovative use of deep reinforcement learning. With a patent to his name, Luo is contributing to advancements within the technical sphere of the Industrial Internet of Things (IIoT).

Latest Patents

Luo holds a patent for a “Dynamic production scheduling method and apparatus based on deep reinforcement learning, and electronic device.” This invention aims to optimize production processes by reducing overall processing times without exceeding the production capacity of devices. The invention intricately involves acquiring and analyzing both static and dynamic characteristics of jobs and system performance, facilitating a highly effective job execution sequence. These features ensure that scheduling is both efficient and adaptable to changing parameters in the production environment.

Career Highlights

Currently, Zihui Luo works at the Beijing University of Posts and Telecommunications, where his research focuses on advancing methodologies that integrate artificial intelligence into industrial applications. His work is a testament to the transformative potential of technologies in modern manufacturing and production environments.

Collaborations

Luo collaborates with notable coworkers, including Liang Liu and Xiaolong Zheng, further enhancing the capabilities and reach of their research team. Together, they explore innovative solutions and methodologies that can significantly impact the future of production systems.

Conclusion

Zihui Luo’s contributions represent a critical step forward in the integration of AI into industrial processes. His inventive work on dynamic production scheduling not only showcases the potential of deep reinforcement learning but also highlights the importance of innovation in enhancing production efficiency. As industries continue to evolve with technological advancements, the impact of inventors like Zihui Luo will undoubtedly play a crucial role in shaping the future of manufacturing and production strategies.

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