Brooklyn, NY, United States of America

Damas Limoge

This inventor holds 37 USPTO granted patents and 14 published patent applications and 4 EPO patents, primarily in Predictive Process Control. Top assignee: Nanotronics Imaging, Inc.. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Damas Limoge. Retrieved from https://idiyas.com/inventor/damas-limoge

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 37 

% Patents Active = 97.3

 

Average Co-Inventor Count = 4.7

ph-index = 4

Forward Citations = 111(Granted Patents)


Location History:

  • New York, NY (US) (2019 - 2021)
  • Brooklyn, NY (US) (2021 - 2024)

Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Predictive Process Control
Dynamic Monitoring
Additive Manufacturing
Artificial Intelligence
Manufacturing Processes
Fault Protected Signal Splitter
Process Variability Simulator
Imitation Learning
Securing Industrial Production
Threshold Determination
Controlled Growth System
Macroscopic Inspection
37 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Damas Limoge in Manufacturing Technologies

Introduction

Damas Limoge, based in Brooklyn, NY, is a prominent inventor known for his significant contributions to manufacturing processes. With an impressive portfolio of 31 patents, Limoge has focused on developing advanced technologies that optimize and enhance manufacturing systems.

Latest Patents

Among his latest patents are "Systems, methods, and media for manufacturing processes" and "Threshold determination for predictive process control of factory processes, equipment, and automated systems." The first patent reveals a manufacturing system that includes multiple stations, a monitoring platform, and a control module. Each station is designed to carry out a step in a multi-step manufacturing process for a component, while the monitoring platform tracks the component's progression. The control module dynamically adjusts processing parameters to achieve the desired quality in the final product.

His second patent delves into the use of deep learning to enhance manufacturing processes. This invention allows the deep learning processor to receive process values and target values for key performance indicators, simulating the manufacturing process to optimize outcomes. By adjusting processing parameters based on simulation results, Limoge's work stands at the forefront of predictive process control in manufacturing.

Career Highlights

As a key figure at Nanotronics Imaging, Inc., Damas Limoge has consistently demonstrated his innovative approach to manufacturing challenges. His work not only contributes to technological advancements in the field but also underscores the importance of precision and efficiency in manufacturing operations.

Collaborations

Damas Limoge collaborates closely with notable colleagues such as Matthew C. Putman and John B. Putman. Together, they drive forward-thinking projects that push the boundaries of traditional manufacturing practices, emphasizing the role of collaboration in fostering innovation.

Conclusion

Damas Limoge's dedication to improving manufacturing processes through innovative patents is commendable. His contributions reflect a deep understanding of the complexities involved in manufacturing and a commitment to achieving excellence in product quality. As the industry continues to evolve, Limoge's work undoubtedly positions him as a key player in the future of manufacturing technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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