logo

For the Inventor, By the Inventor

Bengaluru, India

Mandar Mutalikdesai

USPTO Granted Patents = 12 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 5(Granted Patents)


Location History:

  • Karnataka, IN (2022)
  • Bengaluru, IN (2020 - 2023)

Company Filing History:

goldMedal12 out of 164,197 
 
International Business Machines Corporation
 patents

Years Active: 2020-2023

Loading Chart...
12 patents (USPTO):Explore Patents
1. 11849342 - Global and local measures of centrality for signed and unsigned networks (2023-12-19),
2. 11593385 - Contextual interestingness ranking of documents for due diligence in the banking industry with entity grouping (2023-02-28),
3. 11526707 - Unsupervised contextual label propagation and scoring (2022-12-13),
4. 11522758 - Preserving data integrity in cognitive multi-agent systems (2022-12-06),
5. 11366967 - Learning roadmaps from unstructured text (2022-06-21),
6. 11240118 - Network mixing patterns (2022-02-01),
7. 11176466 - Enhanced conversational bots processing (2021-11-16),
8. 11030228 - Contextual interestingness ranking of documents for due diligence in the banking industry with topicality grouping (2021-06-08),
9. 10990630 - Generating search results based on non-linguistic tokens (2021-04-27),
10. 10984199 - Unsupervised targeted sentiment analysis using dependency parsing and linguistic heuristics (2021-04-20),
11. 10963643 - Unsupervised sentiment analysis for multiple subjects of interest using dependency parsing and linguistic heuristics (2021-03-30),
12. 10831821 - Cognitive adaptive real-time pictorial summary scenes (2020-11-10),

Title: Innovations by Mandar Mutalikdesai

Introduction

Mandar Mutalikdesai is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of technology, holding a total of 12 patents. His work primarily focuses on network analysis and document ranking systems, showcasing his expertise in computer science and engineering.

Latest Patents

One of his latest patents is titled "Global and local measures of centrality for signed and unsigned networks." This invention involves a method and related system that determines a localness measure representing the accessibility of a node's connectiveness within a signed network. The method utilizes a computer processor to receive focus node (FN) information and neighbor node (NN) information, ultimately determining the localness measure based on this data. Additionally, the system calculates a harmony measure that signifies the importance of a node's connectiveness within the network.

Another notable patent is "Contextual interestingness ranking of documents for due diligence in the banking industry with entity grouping." This invention addresses the need to analyze documents for various reasons, such as financial crimes. It ranks documents by examining their topicality and sentiment, utilizing entity recognition to identify subjects of interest. The method generates sentiment scores and ranks documents accordingly, employing an ensemble of natural language text classifiers, including a naïve Bayes classifier.

Career Highlights

Mandar Mutalikdesai is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to advancements in technology. His work at IBM has allowed him to explore various applications of his inventions in real-world scenarios.

Collaborations

He has collaborated with notable coworkers, including Sheetal Srivastava and Anagha M., further enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Mandar Mutalikdesai's contributions to technology through his patents reflect his innovative spirit and dedication to advancing the field. His work continues to influence various industries, particularly in network analysis and document ranking systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…