Company Filing History:

11 out of 164,108

International Business Machines Corporation

patents

2 out of 1,723

Semiconductor Manufacturing International (shanghai) Corporation

patents

2 out of 934

Semiconductor Manufacturing International (beijing) Corporation

patents

where one patent can have more than one assignee

Years Active: 2016-2023

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11816586 - Event identification through machine learning (2023-11-14),

2. 11200043 - Analyzing software change impact based on machine learning (2021-12-14),

3. 10938669 - Intelligent information adapter generation for service management (2021-03-02),

4. 10778785 - Cognitive method for detecting service availability in a cloud environment (2020-09-15),

5. 10735345 - Orchestrating computing resources between different computing environments (2020-08-04),

6. 10581696 - Intelligent information adapter generation for service management (2020-03-03),

7. 10555061 - Microphone and manufacture thereof (2020-02-04),

8. 10547954 - MEMS microphone and method for manufacturing the same (2020-01-28),

9. 10243816 - Automatically optimizing network traffic (2019-03-26),

10. 10171377 - Orchestrating computing resources between different computing environments (2019-01-01),

11. 10061570 - Per tenant initialization check removal (2018-08-28),

12. 9495185 - Per tenant initialization check removal (2016-11-15),

13. 9495184 - Per tenant initialization check removal (2016-11-15),

Title: **Innovator Spotlight: Hui Qing Shi**

Introduction

Hui Qing Shi is an accomplished inventor based in Beijing, China, known for his pioneering contributions to the field of machine learning and software engineering. With a remarkable portfolio of 13 patents, he continues to push the boundaries of innovation in technology.

Latest Patents

Among his latest inventions, Hui has developed a method for event identification through machine learning. This innovative technique involves receiving event information related to various occurrences in a computing environment. By evaluating measurement metrics using a probability function, Hui determines when alarm data is significant or not, thereby streamlining the process for users.

Another significant patent focuses on analyzing software change impact based on machine learning. This invention allows for the reception of feedback regarding the predicted impact of software changes, verifying correctness based on the feedback received. When validated, these changes enhance the performance of the service and the server hosting it, showcasing Hui's commitment to improving technological efficiency.

Career Highlights

Hui Qing Shi has built an impressive career, working with leading organizations such as IBM and Semiconductor Manufacturing International Corporation. His expertise and innovative spirit have set him apart in the technology sector, contributing to numerous advancements in machine learning applications.

Collaborations

Throughout his career, Hui has collaborated with talented individuals, including Yi Bin Wang and Wei Wang. These partnerships have fostered a creative environment that encourages the exploration of new ideas and solutions.

Conclusion

Hui Qing Shi stands as a testament to the power of innovation in technology. His contributions through his patents not only improve existing frameworks but also pave the way for future advancements in machine learning and software engineering. As he continues his work, the tech community eagerly anticipates what groundbreaking discoveries he will introduce next.

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Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.