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For the Inventor, By the Inventor

Berlin, Germany

Moin Nabi

This inventor holds 16 USPTO granted patents and 7 published patent applications and 3 EPO patents. Top assignee: Sap Se. Active years: 2021-2026.

USPTO Granted Patents = 16 

% Patents Active = 93.8

 

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:

goldMedal16 out of 6,282 
 
Sap Se
 patents

Years Active: 2021-2026

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16 patents (USPTO):Explore Patents
1. 12699904 - Adversarial learning of privacy preserving representations (2026-08-04),
2. 12645952 - Visual question answering with knowledge graphs (2026-06-02),
3. 12633146 - Connecting vision and language using fourier transform (2026-05-19),
4. 12147764 - Similarity scoring leveraging constrained greedy matching (2024-11-19),
5. 12135701 - Self contrastive decorrelation based training of machine learning models (2024-11-05),
6. 12001802 - Training enrichment system for natural language processing (2024-06-04),
7. 11893347 - Contrastive meta-learning for zero-shot learning (2024-02-06),
8. 11848017 - Pronoun-based natural language processing (2023-12-19),
9. 11816188 - Weakly supervised one-shot image segmentation (2023-11-14),
10. 11687733 - Contrastive self-supervised machine learning for commonsense reasoning (2023-06-27),
11. 11631181 - Multimodal self-supervised learning for image analysis (2023-04-18),
12. 11544532 - Generative adversarial network with dynamic capacity expansion for continual learning (2023-01-03),
13. 11373120 - Attention mechanism for natural language processing (2022-06-28),
14. 11288542 - Learning graph-based priors for generalized zero-shot learning (2022-03-29),
15. 11080560 - Low-shot learning from imaginary 3D model (2021-08-03),

Title: Innovations of Moin Nabi: A Berlin-Based Inventor

Introduction

Moin Nabi is an accomplished inventor based in Berlin, Germany, with a remarkable portfolio of 13 patents. His contributions to the field of technology and innovation have garnered attention, particularly in areas focused on machine learning and natural language processing.

Latest Patents

Among his latest patents, Moin has developed a system for "Similarity scoring leveraging constrained greedy matching." This innovation entails a method for scoring the similarity of sentences by analyzing the position and relationship of tokenized pairs in the sentences. Another significant patent from Moin is the "Self contrastive decorrelation based training of machine learning models." This method advances the training of machine learning models by employing innovative encoding operations and generating correlation matrices to enhance the accuracy of output results.

Career Highlights

Moin Nabi's career is closely associated with his work at SAP SE, a globally recognized leader in enterprise software solutions. His role has allowed him to push the boundaries of technology through inventive approaches that integrate machine learning into practical applications.

Collaborations

In his innovative endeavors, Moin has collaborated with talents such as Tassilo Klein and Mihai Puscas. These collaborations have likely enriched his work and contributed to the development of cutting-edge technologies and methodologies.

Conclusion

Moin Nabi exemplifies the spirit of innovation, driving advancements in technology with his pioneering patents and contributions to the field. As he continues to explore new frontiers in machine learning and natural language processing, his work remains essential in shaping the future of technology design and implementation.

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