Mullica Hill, NJ, United States of America

Apostolos Topalis


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Apostolos Topalis: Innovator in Software Failure Prediction and Condition Analysis

Introduction

Apostolos Topalis is a notable inventor based in Mullica Hill, NJ (US), recognized for his contributions to the field of software analytics. With a total of two patents to his name, he has developed innovative solutions aimed at enhancing software reliability and performance.

Latest Patents

One of his latest patents is titled "Edge analytics for predicting software failures." This invention presents a novel approach to predicting software failures while operating in a production environment. The system provides analytic capabilities that monitor various input conditions and offers a prediction mechanism to anticipate potential software failures, thereby enabling improved decision-making.

Another significant patent is "Automated testing methods for condition analysis and exploration." This invention utilizes Machine Learning, statistical methods, and other algorithms to identify associations between input conditions and performance outcomes. The insights generated can be shared with analysts and system designers to uncover system sensitivities and enhance overall performance.

Career Highlights

Apostolos Topalis is currently employed at Innovative Defense Technologies, LLC, where he applies his expertise in software analytics to develop cutting-edge solutions. His work focuses on improving the reliability of software systems through innovative predictive methods.

Collaborations

He collaborates with talented professionals in his field, including Bernard Gauf and Keith Harriman, contributing to a dynamic and innovative work environment.

Conclusion

Apostolos Topalis stands out as an influential inventor in the realm of software analytics, with his patents reflecting a commitment to advancing technology and improving software reliability. His contributions are significant in shaping the future of software development and performance analysis.

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