Company Filing History:
Years Active: 2024-2025
Title: Innovations of Peng Zhang in Network Management
Introduction
Peng Zhang is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of network management, particularly in controlling congestion in computer networks. With a total of 2 patents, his work focuses on enhancing the efficiency and reliability of data transmission in various network environments.
Latest Patents
Peng Zhang's latest patents include a "Method for controlling congestion in intermittently-connected and lossy computer networks." This innovative method involves determining a payoff score for each active flow of network traffic at a local network node. The approach allocates unused buffer space based on relative traffic loads and controls the rate at which packets are received, ensuring optimal performance. Another notable patent is the "Reinforcement-learning based queue-management method for undersea networks." This method utilizes deep reinforcement learning to shape traffic in dynamic networks, classifying packets based on quality-of-service requirements and maximizing long-term rewards.
Career Highlights
Peng Zhang currently works for the USA as represented by the Secretary of the Navy. His role involves applying his expertise in network management to improve communication systems. His innovative approaches have garnered attention in the field, showcasing his ability to address complex challenges in network congestion and traffic management.
Collaborations
Some of his notable coworkers include Pedro Andres Forero and Dusan Radosevic. Their collaborative efforts contribute to the advancement of technologies in network management and enhance the overall effectiveness of their projects.
Conclusion
Peng Zhang's contributions to network management through his innovative patents demonstrate his commitment to improving data transmission efficiency. His work continues to influence the field and pave the way for future advancements in network technology.