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For the Inventor, By the Inventor

Round Rock, TX, United States of America

Timothy Ray Malkemus

USPTO Granted Patents = 34

Average Co-Inventor Count = 3.8

ph-index = 11

Forward Citations = 509(Granted Patents)


Location History:

  • Round Rock, TX (US) (1992 - 2021)
  • Leander, TX (US) (2010 - 2021)

Company Filing History:

goldMedal34 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 1992-2021

where 'Filed Patents' based on already Granted Patents

34 patents (USPTO):
1. 11126503 - Pre-filtering of join execution over multi-column range summaries and other synopses (2021-09-21),
2. 11036737 - Partitioned bloom filter merge for massively parallel processing clustered data management (2021-06-15),
3. 10719512 - Partitioned bloom filter merge for massively parallel processing clustered data management (2020-07-21),
4. 10289707 - Data skipping and compression through partitioning of data (2019-05-14),
5. 9792341 - Database query processing using horizontal data record alignment of multi-column range summaries (2017-10-17),
6. 9229970 - Methods to minimize communication in a cluster database system (2016-01-05),
7. 8990173 - Method and apparatus for selecting an optimal delete-safe compression method on list of delta encoded integers (2015-03-24),
8. 8255398 - Compression of sorted value indexes using common prefixes (2012-08-28),
9. 8200645 - System and method for executing multiple concurrent index-driven table access operations (2012-06-12),
10. 8176035 - Detecting and tracking monotonicity for accelerating range and inequality queries (2012-05-08),
11. 8140516 - Method, system and article of manufacture for improving execution efficiency of a database workload (2012-03-20),
12. 8126929 - Method and apparatus for encoding list of variable length structures to support bi-directional scans (2012-02-28),
13. 8010766 - Increasing buffer locality during multiple table access operations (2011-08-30),
14. 8005872 - Method for fast deletion of physically clustered data (2011-08-23),
15. 7937541 - Speed selective table scan operation (2011-05-03),

Title: **Timothy Ray Malkemus: Innovator in Data Management Technologies**

Introduction

Timothy Ray Malkemus is a prolific inventor based in Round Rock, Texas. With an impressive portfolio of 34 patents, Malkemus has made significant contributions to the field of data management technologies. His work focuses on enhancing the efficiency and effectiveness of data processing, with a specific emphasis on multi-column range summaries and partitioned bloom filters.

Latest Patents

Malkemus's recent inventions include groundbreaking techniques such as "Pre-filtering of join execution over multi-column range summaries and other synopses." This innovative method involves maintaining a synopsis for multiple data tables to facilitate quicker and more efficient join operations, optimizing the performance of database queries.

Another notable patent is "Partitioned bloom filter merge for massively parallel processing clustered data management." This addresses the challenges of merging bloom filters in distributed systems, thus enabling better scalability and performance in data management procedures. These patents represent a significant step forward in the realm of data processing technologies.

Career Highlights

Timothy Malkemus is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of what is possible in data management. His expertise has led to the development of several patented technologies that enhance data retrieval and processing efficiency.

Collaborations

Throughout his career, Malkemus has collaborated with several distinguished professionals, including Bishwaranjan Bhattacharjee and Sriram Kolinjivadi Padmanabhan. These collaborations have fostered innovative solutions and advanced research in data processing techniques.

Conclusion

Timothy Ray Malkemus stands out as a significant figure in data management innovation. His contributions have not only enhanced the capabilities of databases but have also laid the groundwork for future advancements in the field. With a strong track record of patents and collaborations, Malkemus continues to be a driving force in shaping the future of data technology.

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