Wenjing Li

Title: Innovations of Wenjing Li in Edge Computing and Wastewater Treatment

Introduction

Wenjing Li is a prominent inventor based in Beijing, China, known for his contributions to advanced technologies in edge computing and environmental engineering. With a total of two patents, he has made significant strides in developing intelligent methods for information processing and environmental monitoring.

Latest Patents

Wenjing Li's latest patents include a "Deep reinforcement learning-based information processing method and apparatus for edge computing server." This invention focuses on determining whether an edge computing server enters an alert state based on service requests. It utilizes a deep reinforcement learning model to compute optimal actions for the server, enhancing its operational efficiency.

Another notable patent is the "Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network." This intelligent method aims to predict ammonia-nitrogen concentrations in urban wastewater treatment processes, improving monitoring and management of wastewater facilities.

Career Highlights

Wenjing Li has worked at prestigious institutions such as Beijing University of Posts and Telecommunications and Beijing University of Technology. His academic and professional experiences have significantly contributed to his innovative work in technology and engineering.

Collaborations

Wenjing Li has collaborated with notable colleagues, including Lanlan Rui and Yang Yang, who have contributed to his research and development efforts.

Conclusion

Wenjing Li's innovative patents and career achievements highlight his significant impact on edge computing and environmental engineering. His work continues to advance technology and improve processes in these critical fields.