Pasadena, CA, United States of America

Nikolai Matni

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: California Institute of Technology. Active years: 2019.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Nikolai Matni

Introduction

Nikolai Matni is an accomplished inventor based in Pasadena, California. He has made significant contributions to the field of data networks, particularly in optimizing network traffic through innovative architectures. His work is characterized by a focus on layered architectures that enhance the efficiency of data networks.

Latest Patents

Nikolai Matni holds a patent for a "Data network controlled and optimized using layered architectures." This invention involves data network components and frameworks designed for the control and optimization of network traffic. The patent describes a data network that includes a switch, a data link, a tracking processor, and a planning processor. The planning processor generates a reference trajectory by receiving a local system state from the tracking processor and calculating a reference trajectory by solving a planning problem. The tracking processor then tracks this reference trajectory, determining a set of states of the switch over a time interval and computing control actions based on the reference trajectory.

Career Highlights

Nikolai Matni is affiliated with the California Institute of Technology, where he contributes to research and development in data networking. His work has been instrumental in advancing the understanding and implementation of optimized data networks.

Collaborations

One of his notable collaborators is John Comstock Doyle, with whom he has worked on various projects related to data network optimization.

Conclusion

Nikolai Matni's innovative approach to data network optimization through layered architectures showcases his expertise and commitment to advancing technology in this field. His contributions are paving the way for more efficient data networks in the future.

Profile summary based on public USPTO records.
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