Machida, Japan

Karan Singh

This inventor holds 1 USPTO granted patent. Top assignee: Schlumberger Technology Corporation. Active years: 2009.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karan Singh. Retrieved from https://idiyas.com/inventor/karan-singh-8ql2glf1

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2009

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1 patent (USPTO):Explore Patents

Title: Karan Singh - Innovator in Time-Series Data Analysis

Introduction

Karan Singh is a notable inventor based in Machida, Japan. He has made significant contributions to the field of data analysis, particularly in the context of time-series data. His innovative approach has implications for various industries, including oil and gas.

Latest Patents

Karan Singh holds a patent titled "Analysis of time-series data using singularities." This method describes a technique for acquiring and analyzing time-series data through the extraction of singularities. The approach allows for the analysis of data across a wide spectrum of frequencies. Once the data is collected in an oil field, the singularities are extracted and utilized to interpret the formation properties related to the data. He has 1 patent to his name.

Career Highlights

Karan Singh is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas sector. His work focuses on enhancing data analysis techniques that can lead to better decision-making in resource extraction and management.

Collaborations

Some of his notable coworkers include Jean-Marie Degrange and Vivian Pisre. Their collaboration has contributed to the advancement of innovative solutions in their field.

Conclusion

Karan Singh's work in time-series data analysis exemplifies the impact of innovation in technology and resource management. His contributions continue to shape the future of data analysis in various industries.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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