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For the Inventor, By the Inventor

Campinas, Brazil

Alan Braz

USPTO Granted Patents = 10 

Average Co-Inventor Count = 4.5

ph-index = 4

Forward Citations = 29(Granted Patents)


Location History:

  • Säo Paulo, BR (2018)
  • Sao Paulo, BR (2018)
  • São Paulo, BR (2020)
  • Yorktown Heights, NY (US) (2021)
  • Bedford Hills, NY (US) (2022 - 2023)
  • Campinas, BR (2019 - 2024)

Company Filing History:

goldMedal10 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2018-2024

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):
1. 12039365 - Program context migration (2024-07-16),
2. 11599357 - Schema-based machine-learning model task deduction (2023-03-07),
3. 11537932 - Guiding machine learning models and related components (2022-12-27),
4. 11150271 - Method or system for management of a device for energy consumption by applying blockchain protocol (2021-10-19),
5. 10726827 - System, method and computer program product for assessing the capabilities of a conversation agent via black box testing (2020-07-28),
6. 10599644 - System and method for managing artificial conversational entities enhanced by social knowledge (2020-03-24),
7. 10319047 - Identification of life events within social media conversations (2019-06-11),
8. 10102846 - System, method and computer program product for assessing the capabilities of a conversation agent via black box testing (2018-10-16),
9. 10026067 - Storage and recovery of digital data based on social network (2018-07-17),
10. 10013682 - Storage and recovery of digital data based on social network (2018-07-03),

Title: Innovator Spotlight: Alan Braz

Introduction

Alan Braz is a distinguished inventor based in Campinas, Brazil, recognized for his remarkable contributions to technology through his innovative approaches. With a total of 10 patents to his name, Alan has been instrumental in developing advanced solutions in programming and machine learning.

Latest Patents

Among his latest achievements is the patent for "Program Context Migration." This innovative method involves a collection of code fragments that can be utilized on a first processor. It includes a sophisticated mechanism to determine a candidate fragment for migration to a second processor. By identifying a specific location within the code fragments, Alan's invention allows for the injection of code that saves program context, thereby facilitating smooth migration based on defined criteria.

Another significant contribution is the "Schema-Based Machine-Learning Model Task Deduction." This patent outlines a comprehensive method that includes extracting the data schema of a machine-learning model. It focuses on analyzing this schema to ascertain the intended task of the machine-learning model, which can enhance the efficiency and effectiveness of machine learning applications.

Career Highlights

Alan currently works at IBM, a leading company renowned for its commitment to innovation and technology solutions. His tenure at IBM has allowed him to explore and implement his inventive ideas, transforming the landscape of computing and data processing.

Collaborations

During his career, Alan has had the pleasure of collaborating with notable colleagues, including Heloisa Caroline De Souza Pereira Candello and Claudio Santos Pinhanez. Together, they have contributed to significant advancements in their respective fields, fostering a culture of innovation within their work environment.

Conclusion

In conclusion, Alan Braz exemplifies the spirit of innovation with his numerous patents that push the boundaries of technology. His work at IBM and collaborations with talented individuals further highlight his impact on the industry. As technology continues to evolve, inventors like Alan will undoubtedly play a crucial role in shaping the future.

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