Jie Ding

Title: Innovations by Jie Ding: A Pioneer in Machine Learning and Wind Energy

Introduction

Jie Ding is an accomplished inventor based in Shanghai, China, known for his contributions to machine learning and renewable energy technologies. With a total of two patents to his name, he has made significant strides in enhancing the efficiency and functionality of various systems.

Latest Patents

One of Jie Ding's latest patents focuses on updating machine learning models across devices. This innovative system creates a localized machine learning model that incorporates customized local parameter values derived from a global model and variance data. The localized model is designed to perform evaluations of data, allowing devices or cohorts of devices to operate more effectively. The training process for this model is based on adjustments made to the global model, which is further refined using variance data from other device cohorts.

Another notable patent involves methods for operating a wind turbine system with a dynamic brake. This method includes adjusting the threshold direct current (DC) bus voltage for a dynamic brake in a wind turbine power converter. The system is designed to respond to various conditions, ensuring optimal performance and safety during operation. It includes mechanisms for detecting grid faults and managing power generation accordingly.

Career Highlights

Jie Ding has worked with prominent companies such as General Electric Company and Amazon Technologies, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and engineering.

Collaborations

Throughout his career, Jie Ding has collaborated with talented individuals, including Huibin Zhu and Xueqin Wu. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Jie Ding's work exemplifies the spirit of innovation in the fields of machine learning and renewable energy. His patents reflect a commitment to improving technology for a sustainable future. His contributions continue to influence the industry and inspire future inventors.