Munich, Germany

Márton Kajó

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Márton Kajó

Introduction

Márton Kajó is a notable inventor based in Munich, Germany. He has made significant contributions to the field of network management through his innovative patents. With a total of two patents to his name, Kajó's work focuses on enhancing the efficiency and reliability of communications networks.

Latest Patents

Kajó's latest patents include "Diagnosis Knowledge Sharing for Self-Healing" and "Method and an Apparatus for Fault Prediction in Network Management." The first patent describes a local diagnosis system that detects anomaly events in a communications network. This system updates local cluster models to incorporate anomaly patterns while adhering to complexity constraints. If the system fails to incorporate these patterns, it forwards the relevant models and diagnosis labels to a central diagnosis system for further analysis. The second patent outlines a network management apparatus that receives network data indicative of the current condition of a communications network. It transforms this data into a network state vector and predicts future network states using a self-learning prediction module.

Career Highlights

Márton Kajó has worked with prominent companies such as Nokia Solutions and Networks and Nokia Technologies. His experience in these organizations has allowed him to develop and refine his innovative ideas in network management.

Collaborations

Some of his notable coworkers include Janne Tapio Ali-Tolppa and Benedek Schultz. Their collaboration has contributed to the advancement of technologies in the field.

Conclusion

Márton Kajó's contributions to network management through his patents demonstrate his innovative spirit and expertise in the field. His work continues to influence the development of self-healing systems and fault prediction methods in communications networks.

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