Philadelphia, PA, United States of America

Vinicius Lima Silva

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vinicius Lima Silva: Innovator in Physical System Control Optimization

Introduction

Vinicius Lima Silva is a prominent inventor based in Philadelphia, PA. He has made significant contributions to the field of physical system control optimization through his innovative work. His expertise lies in developing methods that integrate machine learning and principle models to enhance the control of physical systems.

Latest Patents

Vinicius holds 1 patent for his invention titled "Physical system control optimization using principle models and machine learning models." This patent describes a computer-implemented method for determining an optimization solution for controlling a physical system. The method involves forming an optimization model using an objective function and constraints, alongside a machine learning model that predicts target values for physical systems based on input variables. The invention aims to optimize control by determining set points that align predictions from both machine learning and principle models.

Career Highlights

Vinicius is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in machine learning and optimization techniques. His innovative approach has positioned him as a valuable asset in the field of physical system control.

Collaborations

Vinicius has collaborated with notable colleagues, including Dzung Tien Phan and Jayant R Kalagnanam. These collaborations have fostered a dynamic environment for innovation and have led to the development of impactful solutions in their respective fields.

Conclusion

Vinicius Lima Silva is a distinguished inventor whose work in physical system control optimization exemplifies the integration of machine learning and principle models. His contributions continue to influence advancements in technology and optimization methods.

Profile summary based on public USPTO records.
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