This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2012-2013.
Company Filing History:
Years Active: 2012-2013
Title: The Innovations of Rajashi Das
Introduction
Rajashi Das is an accomplished inventor based in New Rochelle, NY. She has made significant contributions to the field of computing, particularly in autonomic systems. With a total of 2 patents to her name, her work is recognized for its innovative approach to optimizing computing systems.
Latest Patents
Rajashi Das's latest patents focus on autonomic computing systems with model transfer. These patents provide methods and systems for autonomic control and optimization of computing systems. A plurality of component models for one or more components in an autonomic computing system are maintained in a system-level database. These component models are obtained from a source external to the management server, including the components associated with the models. Component models can be added, removed, or updated in the database as needed. A system-level management server, in communication with the database, utilizes the maintained component models and generic component models to compute an optimum state of the autonomic computing system. The autonomic computing system is then managed according to the computed optimum state.
Career Highlights
Rajashi Das is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in computing.
Collaborations
Throughout her career, Rajashi has collaborated with notable colleagues, including David Michael Chess and Ian N Whalley. These collaborations have further enriched her work and expanded the impact of her innovations.
Conclusion
Rajashi Das exemplifies the spirit of innovation in the field of computing. Her contributions through her patents and work at IBM highlight her commitment to advancing technology. Her work continues to influence the development of autonomic computing systems.
