Sayreville, NJ, United States of America

Elissa Backas

This inventor holds 4 USPTO granted patents and 3 published patent applications. Top assignee: At&t Intellectual Property I, LP. Active years: 2020-2026.

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 6.2

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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4 patents (USPTO):Explore Patents

Title: Elissa Backas: Innovator in Data Latency and Machine Learning

Introduction

Elissa Backas is a prominent inventor based in Sayreville, NJ (US). She has made significant contributions to the fields of data latency evaluation and machine learning. With a total of 4 patents to her name, her work continues to influence the technology landscape.

Latest Patents

One of her latest patents focuses on data latency evaluation. This technology is directed towards methods for assessing data latency, providing valuable insights into when data consumers can expect to receive information. The methods involve creating and comparing cumulative probability distributions that represent probabilities associated with various latency values at different levels of completeness.

Another notable patent involves predictive resolutions for trouble tickets using semi-supervised machine learning. This method entails collecting information related to trouble tickets, which include a problem abstract and log text. The process analyzes the log text to derive a problem resolution, defines ticket clusters based on problem abstracts, and labels these clusters. A library of labeled clusters is created, which includes a cluster label, a problem abstract, and a resolution summary. The method trains machine-learning applications to predict resolution summaries for each cluster and classify new tickets accordingly.

Career Highlights

Elissa Backas is currently employed at AT&T Intellectual Property I, LP, where she applies her expertise in technology and innovation. Her work has garnered attention for its practical applications in improving data processing and machine learning systems.

Collaborations

Elissa has collaborated with notable colleagues, including Roque Rios, III and Yang Qu, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Elissa Backas stands out as a key figure in the realm of technology, particularly in data latency and machine learning. Her patents reflect her commitment to advancing these fields, and her work continues to have a lasting impact on the industry.

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