Pittsburgh, PA, United States of America

Charalampos E Tsourakakis

This inventor holds 2 USPTO granted patents. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2019-2022.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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2 patents (USPTO):Explore Patents

Title: Charalampos E Tsourakakis: Innovator in Graph Partitioning Technology

Introduction

Charalampos E Tsourakakis is a prominent inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of graph partitioning, particularly in the context of massive scale graphs. With a total of 2 patents, his work has implications for social networking systems and other complex data structures.

Latest Patents

One of Tsourakakis's latest patents focuses on graph partitioning for massive scale graphs. This innovation describes methods for handling graphs where vertices represent people and edges represent their connections in a social networking system. The patent outlines a graph data allocator that receives a graph vertex and its edges, allocating the vertex to one of several clusters associated with computing devices. The allocation process optimizes an objective function that considers both the cost of edges between clusters and the sizes of the clusters. This approach aims to reduce runtimes and communication costs during computations on graph data.

Career Highlights

Tsourakakis is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in graph theory and data management. His work is instrumental in enhancing the efficiency of data processing in various applications.

Collaborations

He has collaborated with notable colleagues such as Milan Vojnovic and Christos Gkantsidis, contributing to advancements in their shared field of expertise.

Conclusion

Charalampos E Tsourakakis is a key figure in the realm of graph partitioning technology, with a focus on optimizing data processing for large-scale applications. His contributions are paving the way for more efficient systems in the digital age.

Profile summary based on public USPTO records.
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