Patrick Nelson

USPTO Granted Patents = 30 (Patent Applications = 3)

EPO Patents = 3 (Patent Applications = 5)

Average Co-Inventor Count = 5.6

ph-index = 7

Forward Citations = 230(Granted Patents)

Location History:

Kirkland, WA (US) (2007)
Seattle, WA (US) (2008 - 2011)
Fairfax Station, VA (US) (2009 - 2014)
Redmond, WA (US) (2015 - 2024)

Company Filing History:

29 out of 54,638

Microsoft Technology Licensing, LLC

Years Active: 2007-2024

where 'Filed Patents' based on already Granted Patents

30 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12124826 - Instrumentation-based detection of accidental algorithmic complexity of a procedure (2024-10-22),

2. 11892936 - Profiling a program based on a combination of dynamic instrumentation and sampling (2024-02-06),

3. 11604720 - Identifying data inconsistencies and data contention based on historic debugging traces (2023-03-14),

4. 11392482 - Data breakpoints on certain kinds of functions (2022-07-19),

5. 11249881 - Selectively tracing portions of computer process execution (2022-02-15),

6. 11138093 - Identifying data inconsistencies and data contention based on historic debugging traces (2021-10-05),

7. 11132280 - Automatically identifying and highlighting differences between historic traces (2021-09-28),

8. 11113182 - Reversible debugging in a runtime environment (2021-09-07),

9. 11074153 - Collecting application state in a runtime environment for reversible debugging (2021-07-27),

10. 10956304 - Dynamic diagnostic code instrumentation over a historic program execution (2021-03-23),

11. 10877873 - Using historic execution data to visualize tracepoints (2020-12-29),

12. 10747645 - Selectively tracing portions of computer process execution (2020-08-18),

13. 10740219 - Selectively tracing portions of computer process execution (2020-08-11),

14. 10698792 - Execution control with cross-level trace mapping (2020-06-30),

15. 10592396 - Memory validity states in time-travel debugging (2020-03-17),

Title: The Innovative Contributions of Patrick Nelson

Introduction

Patrick Nelson, an esteemed inventor based in Redmond, WA, has made significant strides in the world of technology and software development. With a total of 28 patents to his name, he has contributed valuable innovations that enhance system accuracy and performance. His work is centered around solving complex problems related to data consistency and debugging processes.

Latest Patents

Among Patrick's recent patents are two noteworthy innovations. The first patent focuses on "Identifying data inconsistencies and data contention based on historic debugging traces." This invention provides a method for analyzing memory cell values during thread replays, identifying inconsistencies, and signaling potential data contention when multiple threads interact with the same memory cell without appropriate synchronization.

His second patent, “Data breakpoints on certain kinds of functions,” introduces an advanced method for setting data breakpoints on specific data locations. By utilizing static data flow analysis and disassembly, the invention improves the availability of internal program state information. This enhancement promotes the operational efficiency and security of computing systems.

Career Highlights

Throughout his career, Patrick has worked with prestigious companies, including Microsoft Technology Licensing, LLC and Workman Nydegger. These roles have enabled him to refine his skills in innovation and patent development, ultimately leading to the creation of his impressive patent portfolio.

Collaborations

Patrick's journey has seen him collaborate with noteworthy individuals in the industry, such as Jackson Michael Davis and Del Myers. Their combined expertise has further propelled the advancement of their projects and innovations in software technology.

Conclusion

Patrick Nelson's contributions to technology through his 28 patents showcase his dedication to innovation and improvement in data handling and system reliability. As he continues to develop groundbreaking solutions, his work remains a significant asset in the realms of computing and debugging methodology.

This text is generated by artificial intelligence and may not be accurate.