Bengaluru, India

Anindya Ghosh

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anindya Ghosh. Retrieved from https://idiyas.com/inventor/anindya-ghosh-ptapdefw

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Anindya Ghosh: Innovator in Machine Learning

Introduction

Anindya Ghosh is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in the area of keyword analysis. His innovative approach has the potential to enhance the efficiency of meeting content processing.

Latest Patents

Anindya Ghosh holds a patent for a method, computer program product, and system that utilizes machine learning for keyword extraction. This patent describes a process where a processor obtains content from a meeting hosting system during a pre-defined interval. The processor parses the textual content to identify potential keywords and iteratively analyzes these keywords to determine which ones qualify as seed keywords. The analysis is repeated a pre-defined number of times, resulting in a data structure that comprises the identified seed keywords.

Career Highlights

Anindya Ghosh is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies that leverage machine learning for practical applications. His expertise in this domain has positioned him as a valuable asset to his team.

Collaborations

Anindya collaborates with Gopal Bhageria, a fellow innovator at IBM. Together, they work on projects that aim to push the boundaries of machine learning and its applications in various fields.

Conclusion

Anindya Ghosh's contributions to machine learning and keyword analysis exemplify the innovative spirit of modern inventors. His work not only enhances the processing of meeting content but also showcases the potential of technology to improve efficiency in various domains.

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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