Yeqing Tang

Title: Yeqing Tang: Innovator in Bandwidth Allocation Using Machine Learning

Introduction

Yeqing Tang is a prominent inventor based in North Potomac, MD (US). He has made significant contributions to the field of communications, particularly in the area of bandwidth allocation using machine learning. With a total of 7 patents to his name, Tang's work is at the forefront of technological innovation.

Latest Patents

One of Yeqing Tang's latest patents focuses on bandwidth allocation using machine learning. This patent describes methods, systems, and apparatus, including computer programs encoded on computer-storage media, for optimizing bandwidth allocation in communications systems. In this innovative approach, a request for bandwidth is received, and data indicative of the requested bandwidth and the status of the communication system are input into a machine learning model. The model then outputs an amount of bandwidth to allocate to the terminal, ensuring efficient use of resources.

Career Highlights

Yeqing Tang is currently employed at Hughes Network Systems, LLC, where he continues to develop cutting-edge solutions in the field of communications. His expertise in machine learning and bandwidth management has positioned him as a key player in the industry.

Collaborations

Throughout his career, Yeqing Tang has collaborated with notable colleagues, including Jun Xu and Chandrasekhar Sangireddi. These partnerships have fostered a collaborative environment that enhances innovation and drives advancements in technology.

Conclusion

Yeqing Tang's contributions to bandwidth allocation using machine learning exemplify his commitment to innovation in the communications sector. His work not only advances technology but also sets a foundation for future developments in the field.