Kettering, OH, United States of America

John A Malas

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.3

ph-index = 3

Forward Citations = 17(Granted Patents)


Location History:

  • Centerville, OH (US) (2013)
  • Kettering, OH (US) (2014 - 2019)

Company Filing History:


Years Active: 2013-2025

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5 patents (USPTO):Explore Patents

Title: Innovations and Contributions of John A. Malas

Introduction

John A. Malas is a notable inventor based in Kettering, Ohio, who has made significant contributions to the field of nonlinear systems and computer vision. With a total of 5 patents to his name, Malas has developed innovative methods that enhance the understanding and performance of complex systems.

Latest Patents

One of his latest patents is the Fano-based information theoretic method (FBIT) for design and optimization of nonlinear systems. This patent provides methods for identifying and quantifying information loss in a system due to uncertainty, analyzing the impact on the reliability of system performance. The models and methods combine Fano's equality with the Data Processing Inequality in a Markovian channel construct to characterize information flow within a multi-component nonlinear system. This allows for the determination of risk and characterization of system performance upper bounds based on the information loss attributed to each component. Additionally, the disclosure includes methods for estimating sampling requirements and relating sampling uncertainty to sensing uncertainty. Another significant patent focuses on quantifying computer vision algorithm performance in the presence of system uncertainty. This method involves receiving two images from an imaging system and applying an evaluation value of a noise profile to form composite images. The performance of the algorithm is then measured and compared to determine its operational range.

Career Highlights

John A. Malas is currently associated with the United States of America as represented by the Secretary of the Air Force. His work has been instrumental in advancing the understanding of nonlinear systems and improving the reliability of computer vision algorithms.

Collaborations

Some of his notable coworkers include Krishna Pasala and Mohammad I. Vakil, who have collaborated with him on various projects and patents.

Conclusion

John A. Malas continues to be a driving force in the field of innovations related to nonlinear systems and computer vision. His contributions have paved the way for advancements that enhance system performance and reliability.

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