Springfield, NJ, United States of America

Dan Kushnir

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 1.6

ph-index = 2

Forward Citations = 31(Granted Patents)


Company Filing History:


Years Active: 2014-2020

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10 patents (USPTO):

Title: The Innovative Mind of Dan Kushnir

Introduction

Dan Kushnir is a notable inventor based in Springfield, NJ (US). He has made significant contributions to the field of data analytics and network monitoring, holding a total of 10 patents. His work focuses on enhancing data reporting and improving network reliability through innovative methodologies.

Latest Patents

Kushnir's latest patents include "Control of data reporting for a data analytics service using an active learning framework" and "Network monitor and method for event-based prediction of radio network outages and their root cause." The first patent describes a system where a global monitor communicates with multiple sensors over a wide area network. This monitor builds a global model for a data analytics service, generating queries and policies to optimize data collection from sensors. The second patent outlines a method for predicting network outages by analyzing alarm data from network elements, establishing baselines, and calculating probabilistic scores to identify potential issues.

Career Highlights

Throughout his career, Dan Kushnir has worked with prominent companies such as Alcatel Lucent and Alcatel-Lucent USA Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and data management.

Collaborations

Kushnir has collaborated with talented individuals in his field, including Huseyin Uzunalioglu and Ahmet Akyamac. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking solutions.

Conclusion

Dan Kushnir's contributions to the fields of data analytics and network monitoring exemplify the spirit of innovation. His patents reflect a deep understanding of technology and a commitment to improving systems for better performance and reliability.

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