This inventor holds 18 USPTO granted patents and 8 published patent applications and 2 EPO patents. Top assignees: Google Inc., Jio Platforms Limited, Ani Technologies Private Limited. Active years: 2013-2026.
Location History:
- Andhra Pradesh, IN (2014)
- Hyderabad, IN (2013 - 2016)
- Telangana, IN (2020 - 2021)
Company Filing History:
8 out of 33,897 
8 out of 141 
2 out of 35 
Years Active: 2013-2026
Title: Shailesh Kumar: Innovator in Community Detection and Document Clustering
Introduction
Shailesh Kumar is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the fields of community detection in weighted graphs and document clustering. With a total of 18 patents to his name, Kumar continues to push the boundaries of innovation in technology.
Latest Patents
One of his latest patents is titled "Overlapping community detection in weighted graphs." This invention includes a system and method for detecting communities within a weighted graph. The community detection module comprises several components, including a tagset data aggregator, a counts statistics engine, a weighted graph generator, a coherence engine, a community detector, and a tag recommendation engine. The tagset data aggregator receives tagset data, while the counts statistics engine determines counts statistics for this data. The weighted graph generator creates and denoises a weighted tag occurrence graph based on the counts statistics. The coherence engine assesses the importance score for all tags and the coherence score for all tagsets in the tagset data. The community detector identifies maximally coherent communities in the weighted tag co-occurrence graph, and the tag recommendation engine provides real-time tag recommendations using these communities.
Another notable patent is "Adding document filters to an existing cluster hierarchy." This invention pertains to an automatic electronic discovery search tool that clusters documents into a hierarchy based on data from a specific field within the documents. Levels of the cluster hierarchy can be merged, and these merged clusters can be further clustered using data from another field. The fields are determined by the signal-to-noise ratio of the data they contain. This innovation allows for effective filtering of clusters or their use in a document review tool.
Career Highlights
Shailesh Kumar is currently employed at Google Inc., where he applies his expertise in technology and innovation. His work focuses on enhancing systems for community detection and document clustering, contributing to the advancement of data processing and analysis.
Collaborations
Kumar has collaborated with notable colleagues, including Mahesh Chhaparia and Shweta Pathak. Their combined efforts in research and development have led to significant advancements in their respective fields.
Conclusion
Shailesh Kumar is a distinguished inventor whose work in community detection and document clustering has made a substantial impact on technology. His innovative patents and contributions continue to shape the future of data analysis