This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2012.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2012
Title: The Innovative Contributions of Dina Thomas
Introduction
Dina Thomas is a prominent inventor based in Stanford, CA. She has made significant contributions to the field of data processing and analysis. Her work focuses on enhancing the efficiency of multi-core processors in handling data streams.
Latest Patents
Dina Thomas holds a patent for a "System and method for analyzing streams and counting stream items on multi-core processors." This innovative system involves partitioning a data stream into portions, which are then assigned to multiple processing cores. Each core executes a sequential kernel to compute a local count for items in its assigned portion. The counts from all processing cores are aggregated to determine a final count for the items in the data stream. Additionally, her frequency-aware counting method (FCM) captures relative frequency phases of items and utilizes a sketch structure with multiple hash functions. A zero-frequency table is also included to minimize errors from absent items. She has 1 patent to her name.
Career Highlights
Dina Thomas has had a remarkable career, working with leading technology companies. She is currently employed at International Business Machines Corporation, commonly known as IBM. Her expertise in data stream analysis has positioned her as a valuable asset in her field.
Collaborations
Throughout her career, Dina has collaborated with notable professionals, including Charu Chandra Aggarwal and Rajesh Ramkrishna Bordawekar. These collaborations have further enriched her work and contributed to advancements in data processing technologies.
Conclusion
Dina Thomas is a trailblazer in the realm of data stream analysis, with her innovative patent showcasing her expertise and dedication. Her contributions continue to influence the efficiency of data processing in multi-core systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
