Hyderabad Telangana, India

Ramanan Ramanathan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ramanan Ramanathan: Innovator in Clustering Algorithms

Introduction

Ramanan Ramanathan is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of data clustering through his innovative patent. His work focuses on enhancing the efficiency and accuracy of clustering algorithms, which are essential in various data analysis applications.

Latest Patents

Ramanan holds a patent titled "Systems and methods for implementing density variation (DENSVAR) clustering algorithms." This patent presents a clustering device designed to detect varying density within datasets. The device is capable of receiving a set of parameters, including a density parameter that specifies multiple density values, a size parameter, and a node parameter containing information about various nodes. The clustering device calculates distances between different pairs of nodes and identifies candidate nodes based on these distances and the size parameter. It evaluates candidate clusters against the density parameter to determine if they meet the specified density values, ultimately identifying clusters that satisfy these criteria. Ramanan has 1 patent to his name.

Career Highlights

Ramanan Ramanathan is currently employed at Accenture Global Solutions Limited, where he applies his expertise in data clustering and algorithm development. His role involves working on advanced data analytics projects that leverage his innovative approaches to clustering.

Collaborations

Ramanan collaborates with talented professionals in his field, including Karthik Srinivasan and Deepak A Sharma. These collaborations enhance the development and implementation of innovative solutions in data analysis.

Conclusion

Ramanan Ramanathan is a distinguished inventor whose work in clustering algorithms has the potential to significantly impact data analysis methodologies. His contributions reflect a commitment to innovation and excellence in the field of technology.

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