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For the Inventor, By the Inventor

Ichikawa, Japan

Asim Munawar

USPTO Granted Patents = 19 

Average Co-Inventor Count = 2.6

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Verena, JP (2017 - 2019)
  • Tokyo, JP (2020)
  • Ichikawa, JP (2017 - 2023)

Company Filing History:

goldMedal19 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2017-2023

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19 patents (USPTO):
1. 11823039 - Safe and fast exploration for reinforcement learning using constrained action manifolds (2023-11-21),
2. 11693925 - Anomaly detection by ranking from algorithm (2023-07-04),
3. 11676032 - Sim-to-real learning of 2D multiple sound source localization (2023-06-13),
4. 11556788 - Text-based response environment action selection (2023-01-17),
5. 11526729 - Discovering higher-level actions from expert's action demonstration (2022-12-13),
6. 11425496 - Two-dimensional sound localization with transformation layer (2022-08-23),
7. 11410023 - Lexicographic deep reinforcement learning using state constraints and conditional policies (2022-08-09),
8. 11257240 - Accelerated object labeling using prior geometric knowledge (2022-02-22),
9. 11163269 - Adaptive control of negative learning for limited reconstruction capability auto encoder (2021-11-02),
10. 11158059 - Image reconstruction based on edge loss (2021-10-26),
11. 11156968 - Adaptive control of negative learning for limited reconstruction capability auto encoder (2021-10-26),
12. 10885111 - Generating cross-domain data using variational mapping between embedding spaces (2021-01-05),
13. 10791398 - Feature processing for multi-array sound applications with deep learning and limited data (2020-09-29),
14. 10754308 - Decomposed perturbation approach using memory based learning for compliant assembly tasks (2020-08-25),
15. 10579923 - Learning of classification model (2020-03-03),

Title: The Innovative Contributions of Asim Munawar

Introduction

Asim Munawar, based in Ichikawa, Japan, is a prolific inventor with an impressive portfolio of 19 patents. His work primarily focuses on advancements in the fields of reinforcement learning and anomaly detection, showcasing his commitment to pushing the boundaries of technology.

Latest Patents

Among his most notable recent inventions are two impactful patents. The first, titled "Safe and fast exploration for reinforcement learning using constrained action manifolds," introduces a method through which a processor device can implement reinforcement learning by reading an action manifold described as an n-polytope. This method allows for the optimization of learning processes while considering both physical action limits and safety constraints.

The second patent, "Anomaly detection by ranking from algorithm," presents a novel approach to distance-based vector classification in anomaly detection. This method identifies audio communications between users and assesses the vulnerabilities of personal data, ensuring that sensitive information is well protected by prohibiting the transmission of data that contains this personal information.

Career Highlights

Asim Munawar works at IBM, where he continues to contribute to innovative projects within a collaborative environment. His extensive experience beyond his individual patents includes applications of complex algorithms and machine learning techniques that are crucial in today’s tech industry.

Collaborations

Throughout his career, Asim has collaborated with esteemed colleagues such as Ryuki Tachibana and Subhajit Chaudhury. These partnerships have been instrumental in advancing his research endeavors and have led to the development of groundbreaking technologies that have a real-world impact.

Conclusion

Asim Munawar exemplifies the spirit of innovation in the tech industry. His patents reflect his deep understanding of complex systems and his dedication to creating solutions that not only advance technology but also address critical issues such as data security. As he continues his work at IBM, the future looks bright for advancements stemming from his inventive mind.

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