White Plains, NY, United States of America

Bugra Gedik

USPTO Granted Patents = 50 

Average Co-Inventor Count = 3.9

ph-index = 10

Forward Citations = 343(Granted Patents)

DiyaCoin DiyaCoin 0.22 


Inventors with similar research interests:


Location History:

  • Yorktown Heights, NY (US) (2013)
  • Ankara, TR (2015)
  • Atlanta, GA (US) (2007 - 2016)
  • White Plains, NY (US) (2012 - 2016)
  • Hawthorne, NY (US) (2012 - 2019)

Company Filing History:


Years Active: 2007-2019

where 'Filed Patents' based on already Granted Patents

50 patents (USPTO):

Title: **Bugra Gedik: Innovator in Data Processing**

Introduction

Bugra Gedik is a prominent inventor based in White Plains, NY, USA. He holds an impressive portfolio of 50 patents that showcase his expertise in the field of data processing and analytics.

Latest Patents

Among his latest patents, Bugra has developed innovative methods for processing streaming data through a keyed join. This technique enhances data processing efficiency by maintaining the most recent event for each unique replacement key value, allowing for higher throughput and reduced resource usage. Additionally, he has worked on managing resource allocation and configuration parameters of model building components in data analysis applications. This approach aims to enhance the utility of these applications by optimizing their functionality.

Career Highlights

Bugra Gedik is currently employed at International Business Machines Corporation (IBM), where he has made significant contributions to the field of data analytics and processing. His work focuses on streamlining processes that improve the performance of complex data analysis applications.

Collaborations

Throughout his career, Bugra has collaborated with notable colleagues, including Kun-Lung Wu and Henrique Andrade. Their combined efforts have contributed to advancements in the realm of data processing and analysis.

Conclusion

With a robust number of patents and a commitment to innovation, Bugra Gedik continues to be an influential figure in the tech industry. His work not only enhances the capabilities of data analysis applications but also paves the way for future advancements in the field.

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