Boston, MA, United States of America

Markus Nispel

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 3.3

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):Explore Patents

Title: Innovations by Inventor Markus Nispel

Introduction

Markus Nispel is a notable inventor based in Boston, MA, who has made significant contributions to the field of network technology. With a total of five patents to his name, Nispel has developed innovative systems and methods that enhance network monitoring and anomaly detection.

Latest Patents

One of Nispel's latest patents is titled "Systems and methods for determining flow and path analytics of an application of a network using sampled packet inspection." This invention focuses on monitoring the health of switches within a network by selectively mirroring packets transmitted by each switch. The control circuitry generates mirroring parameters and analyzes the contents of the mirrored packets to determine the health of each switch.

Another significant patent is "Online anomaly detection of vector embeddings." This patent outlines a method for detecting anomalies in network devices by determining similarity values between flow vectors and flow clusters. The system updates flow clusters based on these values, allowing for effective anomaly detection.

Career Highlights

Markus Nispel is currently employed at Extreme Networks, Inc., where he continues to innovate in the field of network technology. His work has contributed to advancements in network health monitoring and anomaly detection, making significant impacts in the industry.

Collaborations

Nispel has collaborated with notable colleagues such as Giacomo Bernardi and Donagh S Horgan, further enhancing the innovative efforts at Extreme Networks, Inc.

Conclusion

Markus Nispel's contributions to network technology through his patents and collaborations highlight his role as a leading inventor in the field. His work continues to influence advancements in network monitoring and anomaly detection.

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