IDiyas

For the Inventor, By the Inventor

Mahopac, NY, United States of America

Matthew Jason Duftler

USPTO Granted Patents = 13 

Average Co-Inventor Count = 3.2

ph-index = 4

Forward Citations = 196(Granted Patents)


Location History:

  • Tarrytown, NY (US) (2003 - 2004)
  • Yorktown Heights, NY (US) (2014)
  • Mahopac, NY (US) (2014 - 2019)

Company Filing History:

goldMedal13 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2003-2019

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):
1. 10365946 - Clustering based process deviation detection (2019-07-30),
2. 10365945 - Clustering based process deviation detection (2019-07-30),
3. 10181012 - Extracting clinical care pathways correlated with outcomes (2019-01-15),
4. 9430616 - Extracting clinical care pathways correlated with outcomes (2016-08-30),
5. 9189649 - Security model for workflows aggregating third party secure services (2015-11-17),
6. 8949804 - Limiting execution of software programs (2015-02-03),
7. 8949803 - Limiting execution of software programs (2015-02-03),
8. 8867337 - Structure-aware caching (2014-10-21),
9. 8856809 - Controlling navigation of application logic using annotated application code (2014-10-07),
10. 8825581 - Simplifying a graph of correlation rules while preserving semantic coverage (2014-09-02),
11. 6779172 - Bean scripting framework (2004-08-17),
12. 6578192 - Method and system for supporting dynamic document content expressed in a component-level language (2003-06-10),
13. 6578191 - Method and apparatus for dynamic generation of adapters (2003-06-10),

Title: The Innovations of Matthew Jason Duftler

Introduction

Matthew Jason Duftler is a notable inventor based in Mahopac, NY (US). He has made significant contributions to the field of data analysis, holding a total of 13 patents. His work primarily focuses on systems and methods that enhance the understanding and monitoring of process deviations.

Latest Patents

One of Duftler's latest patents is titled "Clustering based process deviation detection." This invention involves systems and methods for data analysis that correlate event data to provide process instances. The process instances are clustered using a processor, which represents them as strings and determines distances between these strings to form multiple clusters. Additionally, one or more metrics are computed on these clusters to monitor deviations in the event data. This innovative approach allows for more effective data analysis and process monitoring.

Career Highlights

Matthew Jason Duftler is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to work on cutting-edge technologies and contribute to advancements in data analysis methodologies. His extensive experience and expertise in the field have made him a valuable asset to the company.

Collaborations

Throughout his career, Duftler has collaborated with several talented individuals, including Szabolcs Rozsnyai and Sanjiva Weerawarana. These collaborations have fostered an environment of innovation and have led to the development of impactful technologies.

Conclusion

Matthew Jason Duftler's contributions to the field of data analysis through his patents and work at IBM highlight his role as a significant inventor. His innovative approaches to process deviation detection continue to influence the industry and pave the way for future advancements.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…