Hai Cheng

Title: Innovations of Hai Cheng in Unmanned Aerial Vehicle Networks

Introduction

Hai Cheng is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of unmanned aerial vehicles (UAVs) through his innovative patent. His work focuses on enhancing the control and efficiency of networks comprising distributed non-terrestrial nodes.

Latest Patents

Hai Cheng holds a patent for a "Distributed deep reinforcement learning framework for software-defined unmanned aerial vehicle network control." This patent outlines systems designed to control a network of distributed non-terrestrial nodes. The control framework is capable of training and managing multiple non-terrestrial nodes. It includes a control interface that communicates with a network operator to receive specified control objectives. Additionally, a learning engine is employed to train a virtual non-terrestrial network. The framework is further designed to transfer knowledge gained from this training to the network of distributed nodes, providing data-driven logic unit configurations tailored for the specified control objectives. He has 1 patent to his name.

Career Highlights

Hai Cheng is affiliated with Northeastern University, where he continues to push the boundaries of research in UAV technology. His work is instrumental in developing advanced control systems that leverage deep reinforcement learning techniques.

Collaborations

Hai Cheng collaborates with notable colleagues such as Lorenzo Bertizzolo and Tommaso Melodia. Their combined expertise contributes to the advancement of research in the field of unmanned aerial vehicles.

Conclusion

Hai Cheng's innovative contributions to the field of unmanned aerial vehicles demonstrate his commitment to advancing technology through research and development. His patent reflects a significant step forward in the control of distributed non-terrestrial networks.