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For the Inventor, By the Inventor

Durham, NC, United States of America

Jorge Manuel Gomes Da Silva

USPTO Granted Patents = 31

Average Co-Inventor Count = 4.8

ph-index = 5

Forward Citations = 112(Granted Patents)


Company Filing History:

goldMedal31 out of 795 
 
Sas Institute Inc.
 patents

Years Active: 2015-2025

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31 patents (USPTO):Explore Patents
1. 12405773 - Systems and methods for executing an analytical operation across a plurality of computer processes (2025-09-02),
2. 12307291 - Systems and methods for executing an analytical operation across a plurality of computer processes (2025-05-20),
3. 12277410 - Systems and methods for executing an analytical operation across a plurality of computer processes (2025-04-14),
4. 12277224 - Systems and methods for executing an analytical operation across a plurality of computer processes (2025-04-14),
5. 11635988 - Optimal number of threads determination system (2023-04-25),
6. 11531907 - Automated control of a manufacturing process (2022-12-20),
7. 11436438 - Tabular data generation for machine learning model training system (2022-09-06),
8. 11416712 - Tabular data generation with attention for machine learning model training system (2022-08-16),
9. 11176692 - Real-time concealed object tracking (2021-11-16),
10. 11176691 - Real-time spatial and group monitoring and optimization (2021-11-16),
11. 11151463 - Distributable event prediction and machine learning recognition system (2021-10-19),
12. 11080602 - Universal attention-based reinforcement learning model for control systems (2021-08-03),
13. 11055861 - Discrete event simulation with sequential decision making (2021-07-06),
14. 11010691 - Distributable event prediction and machine learning recognition system (2021-05-18),
15. 10956825 - Distributable event prediction and machine learning recognition system (2021-03-23),

Title: Innovator Spotlight: Jorge Manuel Gomes da Silva

Introduction

Jorge Manuel Gomes da Silva is a prominent inventor based in Durham, North Carolina. With an impressive portfolio of 20 patents, he is recognized for his significant contributions to the field of computing and automation. His innovative approaches aim to optimize computing tasks and enhance manufacturing processes.

Latest Patents

Among his latest patents, two stand out for their relevance in modern technology. The first patent covers an Optimal Number of Threads Determination System. In this invention, a computing device is designed to determine the optimal number of threads for executing computer tasks. The system analyzes each task configuration to ascertain execution runtime values, facilitating efficient resource management in computing environments. It identifies extremum values of execution parameters as functions of thread counts, ultimately storing these insights in a performance dataset.

The second patent relates to Automated Control of a Manufacturing Process. In this innovation, a computing device is employed to train a predictive model for machine states using a generative adversarial network with an autoencoder. This approach encompasses sequential observation vectors that capture the state and action variables, enabling the model to predict subsequent machine states. This advancement significantly contributes to process efficiency in manufacturing industries.

Career Highlights

Jorge is currently affiliated with SAS Institute Inc., a leader in analytics and data management solutions. His role at the company involves driving innovations that leverage machine learning and predictive analytics to address complex computational challenges.

Collaborations

Throughout his career, Jorge has collaborated with esteemed colleagues like Ilknur Kaynar Kabul and Mohammadreza Nazari. Their joint efforts have fostered a culture of innovation at SAS Institute Inc., leading to groundbreaking advancements in the fields they explore.

Conclusion

Jorge Manuel Gomes da Silva exemplifies the spirit of innovation in technology. With his extensive patent portfolio and a commitment to advancing computing efficiencies and manufacturing automation, he sets a benchmark for future inventors. His work not only enhances operational capabilities but also inspires others in the research community to pursue innovative solutions.

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