Madrid, Spain

Andres Garcia-Saavedra

USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Andres Garcia-Saavedra

Introduction

Andres Garcia-Saavedra is a notable inventor based in Madrid, Spain. He has made significant contributions to the field of network automation, particularly through his innovative patent that utilizes reinforcement learning techniques. His work focuses on enhancing the quality of experience (QoE) for users in communication networks.

Latest Patents

Garcia-Saavedra holds a patent titled "System and method for network automation in slice-based network using reinforcement learning." This patent describes a method for facilitating the allocation of network resources to at least one slice in a communication network. The method involves obtaining information that identifies a mapping between network resource allocations and the respective QoE associated with a user. Additionally, it includes gathering information related to the quality of service (QoS) tolerance for a particular QoE. The method provides a controller with essential information to allocate network resources effectively.

Career Highlights

Throughout his career, Andres Garcia-Saavedra has worked with prominent companies such as NEC Corporation and NEC Laboratories Europe GmbH. His experience in these organizations has allowed him to develop and refine his expertise in network technologies and automation.

Collaborations

Garcia-Saavedra has collaborated with notable professionals in his field, including Linghang Fan and Hassan Al-Kanani. These collaborations have contributed to the advancement of his research and innovations.

Conclusion

Andres Garcia-Saavedra is a distinguished inventor whose work in network automation has the potential to significantly improve user experiences in communication networks. His innovative patent showcases his expertise and commitment to advancing technology in this field.

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