Dabburiya, Israel

Nadeem Azaizah


Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Nadeem Azaizah: Innovator in Anomaly Detection Technologies

Introduction

Nadeem Azaizah is a notable inventor based in Dabburiya, Israel. He has made significant contributions to the field of anomaly detection, particularly in the context of time-series data. With a total of two patents to his name, Azaizah is recognized for his innovative approaches to enhancing data analysis and scoring methodologies.

Latest Patents

Azaizah's latest patents include a "System, method, and computer program for using metric valuations in anomaly scoring." This invention provides a framework for calculating scores for metrics used in anomaly detection, which are then weighted based on defined valuations. The weighted scores facilitate the performance of specific actions based on the analysis. Another significant patent is the "System, method, and computer program for anomaly detection in time-series data with mixed seasonality." This invention addresses the challenges of analyzing time-series data by segmenting it into defined units of time, allowing for the identification of patterns across multiple segments.

Career Highlights

Nadeem Azaizah is currently employed at Amdocs Development Limited, where he applies his expertise in developing advanced technologies for data analysis. His work focuses on creating systems that improve the accuracy and efficiency of anomaly detection processes.

Collaborations

Azaizah collaborates with talented colleagues, including Gilli Shama and Yaniv Avrashi, who contribute to the innovative environment at Amdocs Development Limited. Their teamwork fosters the development of cutting-edge solutions in the field of data analytics.

Conclusion

Nadeem Azaizah stands out as an influential inventor in the realm of anomaly detection technologies. His patents reflect a commitment to advancing data analysis methodologies, making significant strides in the industry.

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