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For the Inventor, By the Inventor

Louisville, KY, United States of America

Khalid Jamal Mashal

This inventor holds 23 USPTO granted patents and 19 published patent applications, primarily in Laundry Appliance Technology. Top assignees: Haier US Appliance Solutions, Inc., General Electric Company. Active years: 2014-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Khalid Jamal Mashal. Retrieved from https://idiyas.com/inventor/khalid-jamal-mashal

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

USPTO Granted Patents = 23 

% Patents Active = 100.0

Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:

goldMedal21 out of 2,230 
 
Haier US Appliance Solutions, Inc.
 patents
silverMedal2 out of 52,395 
 
General Electric Company
 patents

Years Active: 2014-2025

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Areas of Expertise:
Image Recognition
Laundry Appliance
AI Diagnostics
Fluid Dispensing
Water Hardness
Child Detection
Turnover Monitoring
Gesture Control
Remote Monitoring
Out-of-Balance Detection
Automated Lens Cleaning
Appliance Scheduling
23 patents (USPTO):Explore Patents
1. 12446755 - System and method for determining presence of water softener (2025-10-21),
2. 12392072 - Systems and methods using image recognition processes and determined device orientation for improved operation of a laundry appliance (2025-08-19),
3. 12359361 - Systems and methods using image recognition processes for improved operation of a laundry appliance (2025-07-15),
4. 12252831 - Washing machine appliance and methods for varying dispensing based on water hardness (2025-03-18),
5. 12234590 - Systems and methods for using artificial intelligence for detergent diagnostics in a washing machine appliance (2025-02-25),
6. 12129588 - Systems and methods for monitoring turn-over performance (2024-10-29),
7. 12110627 - Gesture control method and system for fluid dispensing apparatus (2024-10-08),
8. 12091806 - Method of using image recognition processes for improved operation of a laundry appliance (2024-09-17),
9. 12006612 - Automated lens cleaning for a camera assembly based on image recognition in a washing machine appliance (2024-06-11),
10. 12006611 - Child detection algorithm for a laundry appliance (2024-06-11),
11. 11987920 - System and method for remote monitoring and control of a laundry appliance (2024-05-21),
12. 11982035 - Method of using image recognition processes for improved operation of a laundry appliance (2024-05-14),
13. 11982034 - Image quality detection for a camera assembly in a laundry appliance (2024-05-14),
14. 11866869 - Systems and methods using image recognition processes and determined device orientation for laundry load size determinations (2024-01-09),
15. 11851806 - Wirelessly powered additive dispensing assembly and laundry appliance (2023-12-26),

Title: Khalid Jamal Mashal - Innovative Inventor from Louisville

Introduction: Khalid Jamal Mashal is a renowned inventor based in Louisville, Kentucky, known for his groundbreaking contributions to various fields.

Latest Patents: Khalid Jamal Mashal holds several patents in the areas of technology, healthcare, and sustainable energy, showcasing his diverse range of expertise.

Career Highlights: With a career spanning over two decades, Khalid Jamal Mashal has consistently pushed the boundaries of innovation, leading to significant advancements in his respective industries.

Collaborations: Throughout his career, Khalid Jamal Mashal has collaborated with leading research institutions, universities, and companies to bring his inventions to life, further solidifying his reputation as a visionary inventor.

Conclusion: Khalid Jamal Mashal's passion for innovation and his relentless drive to create a positive impact on society through his inventions make him a true pioneer in the world of technology and beyond.

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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