IDiyas

For the Inventor, By the Inventor

Asheville, NC, United States of America

David Wells Winston

USPTO Granted Patents = 9 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Rockville, MD (US) (2010)
  • Charlotte, NC (US) (2020)
  • Buncombe, NC (US) (2022)
  • Asheville, NC (US) (2011 - 2023)

Company Filing History:

goldMedal9 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2010-2023

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):
1. 11774498 - Multi-rate sampling for hierarchical system analysis (2023-10-03),
2. 11392803 - Decision boundary enhancement for learning models (2022-07-19),
3. 10852351 - Iterative approach to determine failure threshold associated with desired circuit yield in integrated circuits (2020-12-01),
4. 10762166 - Adaptive accelerated yield analysis (2020-09-01),
5. 8825455 - On-demand table model for semiconductor device evaluation (2014-09-02),
6. 8655634 - Modeling loading effects of a transistor network (2014-02-18),
7. 8239794 - System and method for estimating leakage current of an electronic circuit (2012-08-07),
8. 8037433 - System and methodology for determining layout-dependent effects in ULSI simulation (2011-10-11),
9. 7643981 - Pulse waveform timing in EinsTLT templates (2010-01-05),

Title: The Innovative Mind of David Wells Winston

Introduction

David Wells Winston is an accomplished inventor based in Asheville, NC, recognized for his contributions to the field of technology. With a total of nine patents to his name, Winston has made significant advancements that push the boundaries of system analysis and machine learning.

Latest Patents

Among his recent inventions, Winston's patents include:

1. **Multi-rate sampling for hierarchical system analysis** - This patent details a system analysis process involving a complex system design model comprised of multiple layers. The approach emphasizes conducting several simulations to assess the performance of each layer, with the worst-case scenario being incorporated into an overall system simulation.

2. **Decision boundary enhancement for learning models** - This invention presents methods, systems, and computer program products aimed at enhancing decision boundaries within machine learning models. The process includes determining decision boundaries, obtaining new feature sets, and creating enhanced training data, which ultimately results in a more refined machine learning model.

Career Highlights

David Wells Winston currently works at International Business Machines Corporation (IBM), a leader in technology and innovation. His role there allows him to apply his inventive skills in developing groundbreaking solutions that impact various industries.

Collaborations

Throughout his career, Winston has collaborated with talented professionals, including Tong Li and Richard Daniel Kimmel. These partnerships have fostered a creative environment, leading to innovative projects that address complex challenges in technology.

Conclusion

In summary, David Wells Winston is a notable inventor whose work in system analysis and machine learning exemplifies the spirit of innovation. His patents not only reflect his expertise but also contribute to the evolving landscape of technology, making a lasting impact on how systems are analyzed and understood.

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