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For the Inventor, By the Inventor

Heidelberg, Germany

Luis Moreira-Matias

This inventor holds 6 USPTO granted patents and 3 published patent applications. Top assignee: Nec Corporation. Active years: 2019-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Luis Moreira-Matias. Retrieved from https://idiyas.com/inventor/luis-moreira-matias

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

USPTO Granted Patents = 6 

% Patents Active = 83.3

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Hamburg, DE (2021)
  • Heidelberg, DE (2019 - 2022)

Company Filing History:

goldMedal6 out of 36,684 
 
Nec Corporation
 patents

Years Active: 2019-2022

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6 patents (USPTO):Explore Patents
1. 11423336 - Method and system for model integration in ensemble learning (2022-08-23),
2. 11042417 - Method for managing computational resources of a data center using a single performance metric for management decisions (2021-06-22),
3. 10817543 - Method for automated scalable co-clustering (2020-10-27),
4. 10453020 - Method for providing a typical load profile of a vehicle for a public transport system (2019-10-22),
5. 10395183 - Real-time filtering of digital data sources for traffic control centers (2019-08-27),
6. 10192448 - Method to control vehicle fleets to deliver on-demand transportation services (2019-01-29),

Title: Luis Moreira-Matias: Innovator in Machine Learning and Data Center Management

Introduction

Luis Moreira-Matias is a prominent inventor based in Heidelberg, Germany. He has made significant contributions to the fields of machine learning and data center management. With a total of 6 patents to his name, he continues to push the boundaries of technology and innovation.

Latest Patents

Among his latest patents is a method and system for model integration in ensemble learning. This innovative approach involves receiving input data and input models, each with distinct learning properties. The process generates perturbed data by adding noise to the input data and performs a landmarking operation on the perturbed data to create meta-features that correlate with the learning properties of the input models. Additionally, he has developed a method for managing computational resources of a data center using a single performance metric for management decisions. This method allows for the assignment of computational resources to physical and/or virtual functions based on collected performance information, which is analyzed against predefined performance parameters.

Career Highlights

Luis Moreira-Matias is currently employed at NEC Corporation, where he applies his expertise in machine learning and data management. His work has been instrumental in enhancing the efficiency and performance of data centers.

Collaborations

He collaborates with talented individuals such as Jihed Khiari and Xiao He, contributing to a dynamic and innovative work environment.

Conclusion

Luis Moreira-Matias exemplifies the spirit of innovation through his patents and contributions to technology. His work in machine learning and data center management continues to influence the industry positively.

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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