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For the Inventor, By the Inventor

Bengaluru, India

Madhusudan Singh

This inventor holds 20 USPTO granted patents and 11 published patent applications and 4 EPO patents, primarily in Document Analysis. Top assignees: L&t Technology Services Limited, Wipro Limited. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madhusudan Singh. Retrieved from https://idiyas.com/inventor/madhusudan-singh

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

USPTO Granted Patents = 20 

% Patents Active = 75.0

 

Average Co-Inventor Count = 3.8

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:

goldMedal19 out of 46 
 
L&t Technology Services Limited
 patents
silverMedal1 out of 852 
 
Wipro Limited
 patents

Years Active: 2018-2026

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Areas of Expertise:
Optical Character Recognition
Document Layout
Data Extraction
Anomaly Detection
Machine Learning Models
Quality Evaluation
Text Classification
Clustering Data
Binary Image Generation
Spatial Features
Contour Completion
Summarization
20 patents (USPTO):Explore Patents
1. 12639966 - Method and system of performing domain-based error correction after optical character recognition (2026-05-26),
2. 12608968 - Method and system of grouping documents based on document layout determination (2026-04-21),
3. 12608258 - Method and system of determining anomalies in a target system using a large language model (2026-04-21),
4. 12592095 - Method and system of determining shape of a table in a document (2026-03-31),
5. 12586404 - Method and system for relevant data extraction from a document (2026-03-24),
6. 12555396 - Method for extraction of table and figure region from engineering drawings (2026-02-17),
7. 12555261 - Method and system for detecting and correcting orientation of document images (2026-02-17),
8. 12536636 - Method and system for evaluating quality of a document (2026-01-27),
9. 12530915 - Method and system of generating binary image of a document image based on background color (2026-01-20),
10. 12525047 - Method and system of classifying text data in a document (2026-01-13),
11. 12517955 - Method and system for clustering data samples (2026-01-06),
12. 12394019 - System and method for smart contour completion (2025-08-19),
13. 12306863 - Method and system of extracting data based on spatial features (2025-05-20),
14. 12229174 - Method and system of optimizing query input for generating codes using large language models (2025-02-18),
15. 12216714 - Method and system of classifying documents based on layout determination (2025-02-04),

Title: The Innovative Journey of Madhusudan Singh

Introduction: Madhusudan Singh, a visionary inventor hailing from Bengaluru, India, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Madhusudan Singh's latest patents include a cutting-edge artificial intelligence algorithm for predictive analytics and a revolutionary renewable energy storage system.

Career Highlights: With over two decades of experience in research and development, Madhusudan Singh has led numerous successful projects in the areas of robotics, machine learning, and sustainable technologies. His work has been recognized globally for its impact and ingenuity.

Collaborations: Throughout his career, Madhusudan Singh has collaborated with leading universities, research institutions, and tech companies to further advance the boundaries of innovation. His partnerships have resulted in the development of pioneering solutions that address complex challenges.

Conclusion: Madhusudan Singh's relentless pursuit of innovation and his passion for creating a sustainable future have established him as a prominent figure in the world of technology. His inventive spirit continues to inspire the next generation of inventors and researchers.

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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