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For the Inventor, By the Inventor

Heidelberg, Germany

Mathias Niepert

This inventor holds 17 USPTO granted patents and 7 published patent applications. Top assignees: Nec Corporation, Nec C Orporation, Nec Laboratories Europe Gmbh. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mathias Niepert. Retrieved from https://idiyas.com/inventor/mathias-niepert

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

USPTO Granted Patents = 17 

% Patents Active = 88.2

Average Co-Inventor Count = 2.6

ph-index = 4

Forward Citations = 38(Granted Patents)


Company Filing History:

goldMedal15 out of 36,684 
 
Nec Corporation
 patents
silverMedal1 out of 196 
 
Nec C Orporation
 patents
bronzeMedal1 out of 18 
 
Nec Laboratories Europe Gmbh
 patents

Years Active: 2019-2026

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17 patents (USPTO):Explore Patents
1. 12619885 - Method for operating a neural link prediction model and a corresponding system (2026-05-05),
2. 12468705 - Answering complex queries in knowledge graphs with bidirectional sequence encoders usable to support decision making and having medical use applications (2025-11-11),
3. 12430337 - Answering complex queries in knowledge graphs with bidirectional sequence encoders usable to support decision making and having medical use applications (2025-09-30),
4. 12353416 - Answering complex queries in knowledge graphs with bidirectional sequence encoders useable to support decision making and having medical use applications (2025-07-08),
5. 11748356 - Answering complex queries in knowledge graphs with bidirectional sequence encoders (2023-09-05),
6. 11694062 - Recurrent neural networks having a probabilistic state component and state machines extracted from the recurrent neural networks (2023-07-04),
7. 11552985 - Method for predicting events using a joint representation of different feature types (2023-01-10),
8. 11488694 - Method and system for predicting patient outcomes using multi-modal input with missing data modalities (2022-11-01),
9. 11429855 - Acceleration of neural networks using depth-first processing (2022-08-30),
10. 11301774 - System and method for multi-modal graph-based personalization (2022-04-12),
11. 11087165 - Method and system for contextualizing automatic image segmentation and regression (2021-08-10),
12. 11042922 - Method and system for multimodal recommendations (2021-06-22),
13. 10963941 - Method and system for combining user, item and review representations for recommender systems (2021-03-30),
14. 10846610 - Scalable system and method for real-time predictions and anomaly detection (2020-11-24),
15. 10810723 - System and method for single image object density estimation (2020-10-20),

Title: Mathias Niepert: Innovator from Heidelberg

Introduction: Mathias Niepert is a renowned inventor hailing from Heidelberg, Germany, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Mathias Niepert holds several patents in the areas of artificial intelligence, machine learning, and data analytics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and a passion for pushing the boundaries of what is possible, Mathias Niepert has had a successful career marked by innovative solutions and forward-thinking ideas.

Collaborations: Throughout his career, Mathias Niepert has collaborated with leading tech companies, research institutions, and universities to further develop and implement his inventions, solidifying his reputation as a visionary in the tech industry.

Conclusion: Mathias Niepert's relentless pursuit of innovation and his commitment to pushing the limits of technology make him a standout figure in the world 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]
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