Chennai, India

Hariharan Kesavarao

This inventor holds 1 USPTO granted patent. Top assignee: Chicago Mercantile Exchange Inc.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hariharan Kesavarao. Retrieved from https://idiyas.com/inventor/hariharan-kesavarao

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations by Hariharan Kesavarao

Introduction

Hariharan Kesavarao is an accomplished inventor based in Chennai, India. He has made significant contributions to the field of data management, particularly in dataset cleansing. His innovative approach addresses the challenges posed by external factors that can influence data patterns.

Latest Patents

Hariharan holds a patent related to dataset cleansing. The patent focuses on how datasets may be characterized by patterns influenced by external factors such as temporal, meteorological, and system factors. His invention provides techniques to account for missing data elements and outlier data elements, ultimately leading to a more reliable dataset. New elements can be generated to fill in missing data, and derivative datasets can be created based on one or more cleansed datasets.

Career Highlights

Hariharan is currently employed at the Chicago Mercantile Exchange Inc., where he applies his expertise in data management. His work has been instrumental in enhancing the quality and reliability of datasets used in various applications.

Collaborations

Hariharan collaborates with talented professionals such as Jennifer Yingying Weng and Nataliya Frost. Their combined efforts contribute to the advancement of innovative solutions in data management.

Conclusion

Hariharan Kesavarao's contributions to dataset cleansing demonstrate his commitment to innovation in data management. His work not only addresses current challenges but also paves the way for future advancements in the field.

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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