Bengaluru, India

Balaji Ganesan

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Balaji Ganesan: Innovator in Knowledge Graphs and Data Processing

Introduction

Balaji Ganesan is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data processing and knowledge graphs. With a total of 6 patents to his name, Balaji is recognized for his innovative approaches to complex data challenges.

Latest Patents

One of Balaji's latest patents is titled "Generation of training data from redacted information." This invention provides a computer-implemented method that includes obtaining an information document with redacted information spans. It identifies entity types for each redacted span and replaces them with corresponding replacement entities while maintaining relationships and controlling bias.

Another notable patent is "Distributed entity re-resolution based on streaming updates." This mechanism allows for the dynamic re-resolution of entities in a knowledge graph based on streaming updates. It involves clustering second documents and modifying clusters to generate an updated knowledge graph data structure.

Career Highlights

Balaji Ganesan works at International Business Machines Corporation, commonly known as IBM. His work focuses on enhancing data processing techniques and improving knowledge graph functionalities. His innovative contributions have positioned him as a key player in the field.

Collaborations

Balaji has collaborated with notable coworkers, including Soma Shekar Naganna and Sameep Mehta. These collaborations have further enriched his work and contributed to the development of advanced data processing solutions.

Conclusion

Balaji Ganesan is a distinguished inventor whose work in data processing and knowledge graphs has led to significant advancements in the field. His innovative patents reflect his commitment to solving complex data challenges and enhancing the capabilities of knowledge systems.

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