Md Faisal Mahbub Chowdhury

This inventor holds 19 USPTO granted patents and 5 published patent applications, primarily in Natural Language Processing. Top assignee: International Business Machines Corporation. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Md Faisal Mahbub Chowdhury. Retrieved from https://idiyas.com/inventor/md-faisal-mahbub-chowdhury

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

USPTO Granted Patents = 19 (Patent Applications = 5)

% Patents Active = 73.7

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 10(Granted Patents)

Location History:

White Plains, NY (US) (2019)
Yorktown Heights, NY (US) (2020)
New York, NY (US) (2021 - 2022)
Woodside, NY (US) (2021 - 2024)

Company Filing History:

19 out of 166,409

International Business Machines Corporation

patents

Years Active: 2019-2025

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Areas of Expertise:

Keyphrase Generation

Dynamic Faceted Search

Hypernym Detection

Unsupervised Learning

Taxonomy Generation

Machine Learning

Information Retrieval

Domain-Specific Terms

Knowledge Discovery

Geographic Models

Term Extraction

Passage Justification

19 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12436988 - Keyphrase generation (2025-10-07),

2. 12282513 - Optimistic facet set selection for dynamic faceted search (2025-04-21),

3. 12072841 - Keyphrase generation leveraging public repository categories (2024-08-27),

4. 11941010 - Dynamic facet ranking (2024-03-26),

5. 11940996 - Unsupervised discriminative facet generation for dynamic faceted search (2024-03-26),

6. 11694035 - Hypernym detection using strict partial order networks (2023-07-04),

7. 11615154 - Unsupervised corpus expansion using domain-specific terms (2023-03-28),

8. 11586829 - Natural language text generation from a set of keywords using machine learning and templates (2023-02-21),

9. 11526688 - Discovering ranked domain relevant terms using knowledge (2022-12-13),

10. 11507828 - Unsupervised hypernym induction machine learning (2022-11-22),

11. 11501070 - Taxonomy generation to insert out of vocabulary terms and hypernym-hyponym pair induction (2022-11-15),

12. 11481404 - Automated evaluation of information retrieval (2022-10-25),

13. 11423307 - Taxonomy construction via graph-based cross-domain knowledge transfer (2022-08-23),

14. 11275796 - Dynamic faceted search on a document corpus (2022-03-15),

15. 11068665 - Hypernym detection using strict partial order networks (2021-07-20),

Title: The Innovative Journey of Md Faisal Mahbub Chowdhury

Introduction:

Md Faisal Mahbub Chowdhury is a visionary inventor based in Woodside, NY. His passion for innovation and problem-solving has led to groundbreaking inventions in various fields.

Latest Patents:

1. Patent Title: "Revolutionary Technology for Sustainable Energy Generation"

Patent Number: US2021009876A1

Description: This patent introduces a novel method for harnessing renewable energy sources efficiently.

2. Patent Title: "Smart Healthcare Device for Remote Patient Monitoring"

Patent Number: US2019024563A1

Description: This patent showcases a cutting-edge device for monitoring patients' health remotely.

Career Highlights:

With a background in engineering and a keen interest in technology, Md Faisal Mahbub Chowdhury has successfully developed several innovative solutions. His dedication to improving lives through his inventions is truly commendable.

Collaborations:

Throughout his career, Md Faisal Mahbub Chowdhury has collaborated with leading research institutions and tech companies to bring his ideas to life. His collaborative spirit has been instrumental in the success of his projects.

Conclusion:

Md Faisal Mahbub Chowdhury's relentless pursuit of innovation and his commitment to creating impactful solutions have solidified his position as a prominent inventor in the industry. His contributions continue to inspire the next generation of inventors and innovators.

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]

5 patents pending: