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For the Inventor, By the Inventor

Newmarket, Canada

Justin Frank Matejka

This inventor holds 89 USPTO granted patents and 37 published patent applications and 1 EPO patent, primarily in Generative Design Techniques (CPC class G06F3-04815). Top assignees: Autodesk, Inc., Nvidia Corporation. Active years: 2010-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Justin Frank Matejka. Retrieved from https://idiyas.com/inventor/justin-frank-matejka

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

USPTO Granted Patents = 89 

% Patents Active = 97.8

 

Average Co-Inventor Count = 3.9

ph-index = 20

Forward Citations = 1,211(Granted Patents)

Forward Citations (Not Self Cited) = 1,166(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Ontario, JP (2010)
  • Ontario, CA (2010 - 2016)
  • Toronto, CA (2018 - 2019)
  • Etobicoke, CA (2010 - 2021)
  • Newmarket, CA (2016 - 2024)

Company Filing History:

goldMedal88 out of 1,269 
 
Autodesk, Inc.
 patents
silverMedal1 out of 6,195 
 
Nvidia Corporation
 patents

Years Active: 2010-2026

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Areas of Expertise:
Generative Design
Human Motion Data
Software Proficiency
User Feedback
Complex Environments
Dynamic Datasets
Video Annotations
3D Navigation
Computer-Aided Manufacturing
Augmented Reality
Instructional Material
Data Visualization
89 patents (USPTO):Explore Patents
1. 12664442 - Computer-based techniques for capturing knowledge about computer-based tasks (2026-06-23),
2. 12664326 - Techniques incorporated into design software for generating sustainability insights (2026-06-23),
3. 12346711 - Techniques for trial-and-error learning in complex application environments (2025-07-01),
4. 12148081 - Immersive analysis environment for human motion data (2024-11-19),
5. 12113873 - Techniques for analyzing the proficiency of users of software applications in real-time (2024-10-08),
6. 12073494 - Techniques for analyzing the proficiency of users of software applications (2024-08-27),
7. 12050526 - User feedback mechanism for software applications (2024-07-30),
8. 12045918 - Techniques for analyzing command usage of software applications (2024-07-23),
9. 11966293 - Techniques for trial-and-error learning in complex application environments (2024-04-23),
10. 11921414 - Reflection-based target selection on large displays with zero latency feedback (2024-03-05),
11. 11772275 - Generative design techniques for robot behavior (2023-10-03),
12. 11677691 - Computer-based techniques for obtaining personalized assistance with software applications (2023-06-13),
13. 11669220 - Example-based ranking techniques for exploring design spaces (2023-06-06),
14. 11663358 - Perturbation-based techniques for anonymizing datasets (2023-05-30),
15. 11593533 - Techniques for visualizing and exploring large-scale generative design datasets (2023-02-28),

Title: Justin Frank Matejka

Introduction: Justin Frank Matejka is a renowned inventor based in Newmarket, Canada, known for his innovative contributions to various fields.

Latest Patents: Justin Frank Matejka holds several patents in the areas of technology and design, showcasing his expertise and creativity.

Career Highlights: Throughout his career, Justin Frank Matejka has demonstrated a keen ability to develop groundbreaking solutions that push the boundaries of traditional thinking.

Collaborations: Justin Frank Matejka has collaborated with leading companies and research institutions to bring his inventions to life, further solidifying his reputation as a visionary inventor.

Conclusion: Justin Frank Matejka's passion for innovation and his dedication to creating impactful inventions continue to inspire the industry and pave the way for future advancements.

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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