Burlington, MA, United States of America

Theodoros Gkountouvas

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Theodoros Gkountouvas: Innovator in Data Processing Technologies

Introduction

Theodoros Gkountouvas is a notable inventor based in Burlington, MA (US). He has made significant contributions to the field of data processing, particularly in network architectures. His innovative work has led to the development of a patent that enhances the efficiency of data processing operations.

Latest Patents

Theodoros holds a patent for "Near data processing (NDP) in network nodes." This patent describes a system where a storage node receives data processing instructions from a compute node within a network architecture. The storage node identifies a Directed Acyclic Graph (DAG) within these instructions, which includes various data processing operations arranged according to a specific execution order. The operations also incorporate user-defined function (UDF) information. The storage node retrieves a data object from an object store based on object keys and executes the data processing operations to generate a DAG execution result. This result is then communicated back to the compute node.

Career Highlights

Theodoros Gkountouvas is currently employed at Huawei Technologies Co., Limited, where he continues to innovate in the field of data processing. His work is instrumental in advancing the capabilities of network nodes and improving data handling efficiency.

Collaborations

Throughout his career, Theodoros has collaborated with talented individuals such as Yong Wang and Hui Lei. These collaborations have contributed to the successful development of his innovative ideas and patents.

Conclusion

Theodoros Gkountouvas is a prominent figure in the realm of data processing technologies, with a patent that showcases his expertise and innovative spirit. His contributions are paving the way for advancements in network architecture and data handling.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…