Company Filing History:

12 out of 164,108

International Business Machines Corporation

Years Active: 2010-2019

where 'Filed Patents' based on already Granted Patents

14 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 10249070 - Dynamic interaction graphs with probabilistic edge decay (2019-04-02),

2. 10013782 - Dynamic interaction graphs with probabilistic edge decay (2018-07-03),

3. 9864807 - Identifying influencers for topics in social media (2018-01-09),

4. 9697277 - Stratified sampling using adaptive parallel data processing (2017-07-04),

5. 9697274 - Stratified sampling using adaptive parallel data processing (2017-07-04),

6. 9449122 - Interpolation techniques used for time alignment of multiple simulation models (2016-09-20),

7. 9449096 - Identifying influencers for topics in social media (2016-09-20),

8. 9201989 - Interpolation techniques used for time alignment of multiple simulation models (2015-12-01),

9. 8983879 - Systems and methods for large-scale randomized optimization for problems with decomposable loss functions (2015-03-17),

10. 8903748 - Systems and methods for large-scale randomized optimization for problems with decomposable loss functions (2014-12-02),

11. 8838648 - Efficient discovery of keys in a database (2014-09-16),

12. 8560548 - System, method, and apparatus for multidimensional exploration of content items in a content store (2013-10-15),

13. 7987177 - Method for estimating the number of distinct values in a partitioned dataset (2011-07-26),

14. 7818323 - Discovering topical structures of databases (2010-10-19),

Title: **John Sismanis: Innovator in Dynamic Graph Analysis**

Introduction

John Sismanis, an accomplished inventor based in San Jose, CA, has made significant contributions to the field of dynamic graph analysis. With a remarkable portfolio of 14 patents, his work focuses on innovative algorithms and methodologies that enhance the understanding and utility of dynamic graphs.

Latest Patents

Among his latest inventions, Sismanis has developed a computer-implemented method for creating dynamic interaction graphs with probabilistic edge decay. This method involves generating two or more sample graphs by sampling edges from a current snapshot of a dynamic graph. By executing algorithms on these sample graphs, Sismanis combines partial results to form a final outcome. His approach also includes incrementally maintaining the sample graphs by using Bernoulli trials for subsampling edges along with integrating new edges received in batches.

Another of his notable patents is also centered around analyzing dynamic graphs through similar methodologies, showcasing his expertise in this cutting-edge area of computer science.

Career Highlights

Sismanis has built an impressive career working with major technology companies such as IBM and Globalfoundries Inc. His experiences in these organizations have undoubtedly shaped his innovative approaches to problem-solving and graph analysis.

Collaborations

Throughout his career, Sismanis has collaborated with esteemed colleagues, including Peter Haas and Andrey Balmin. These partnerships have contributed to the sharing of ideas and the advancement of dynamic graph technologies.

Conclusion

John Sismanis stands out as a pioneering inventor in the realm of dynamic graphs, with a consistent focus on developing technologies that foster deeper insights into complex data structures. His patents not only exemplify his innovative spirit but also pave the way for future advancements in the analysis of dynamic interactions.

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