Philadelphia, PA, United States of America

Sudipto Cuha

This inventor holds 1 USPTO granted patent. Top assignee: At+t Corp.. Active years: 2008.


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Sudipto Cuha: Innovator in Data Summarization Technologies

Introduction

Sudipto Cuha is a notable inventor based in Philadelphia, PA (US). He has made significant contributions to the field of data summarization through his innovative patent. His work focuses on enhancing the efficiency of data analysis from distributed sources.

Latest Patents

Sudipto Cuha holds a patent titled "Method and apparatus for using histograms to produce data summaries." This patent describes a system and method for summarizing dynamic data from distributed sources using histograms. The method involves receiving a first data signal at a first location, determining a first array sketch of the first data signal, and constructing a first output histogram from the first array sketch and a first robust histogram via a first hybrid histogram. By calculating array sketches of multiple data signals and adding them to yield a single vector sum, the histogram can be constructed from this vector sum. This approach allows for the analysis of the vector sum without revealing the individual data signals that contribute to it.

Career Highlights

Sudipto Cuha is currently employed at AT&T Corp., where he continues to develop innovative solutions in data processing and analysis. His work has been instrumental in advancing the methodologies used in data summarization.

Collaborations

Some of his notable coworkers include Ioannis Kotidis and Piotr Indyk, who have collaborated with him on various projects related to data analysis and summarization techniques.

Conclusion

Sudipto Cuha's contributions to the field of data summarization through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way dynamic data is analyzed and summarized.

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