Toronto, Canada

Peter Doulas

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 7.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Peter Doulas in Machine Learning and Maintenance Optimization.

Introduction

Peter Doulas is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning, particularly in the area of maintenance work order analysis. With a total of 3 patents, Doulas has developed innovative solutions that enhance operational efficiency in manufacturing and maintenance processes.

Latest Patents

One of Peter Doulas's latest patents focuses on machine learning powered anomaly detection for maintenance work orders. This industrial work order analysis system utilizes statistical and machine learning analytics to examine both open and closed work orders. The system identifies problems and abnormalities that could adversely affect manufacturing and maintenance operations. By applying algorithms, it learns normal maintenance behaviors for various tasks and flags any deviations from these norms. This analysis enables the identification of costly maintenance practices and predicts asset failures, offering tailored recommendations to reduce machine downtime and optimize maintenance processes.

Career Highlights

Throughout his career, Peter Doulas has worked with notable companies such as Fiix Inc. and Points.com Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that leverage technology for improved maintenance solutions.

Collaborations

Peter has collaborated with talented individuals in his field, including Mohammad Esmalifalak and Akshay Iyengar. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Peter Doulas exemplifies the spirit of innovation through his work in machine learning and maintenance optimization. His patents and career achievements reflect a commitment to enhancing operational efficiency in industrial settings.

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