Company Filing History:
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1 out of 817 Years Active: 2007-2010
Title: **Innovative Mind: The Contributions of Rajgopal Kannan**
Introduction
Rajgopal Kannan, an accomplished inventor based in Baton Rouge, Louisiana, is known for his significant contributions to the field of computer science and data allocation. With a total of two patents under his name, Kannan's innovative methods have the potential to streamline data processing in complex computer systems.
Latest Patents
Among his notable inventions are two recent patents that focus on allocation methods using neural networks. The first patent, titled "Data Set Request Allocations to Computers," introduces a technique for efficiently allocating computers to fulfill requests for data sets within a network of multiple computers. This method is structured on a neural network that features an input layer with input nodes and an output layer with output nodes, linking each output node to a specific computer. The process involves receiving a data set request and inputting a corresponding vector to the input layer, utilizing weights to connect the nodes.
His second patent, “Method for Allocation of Web Pages Using Neural Networks,” shares similar structural elements. This innovative approach focuses on allocating a computer to manage requests for specific web pages, showcasing Kannan's expertise in enhancing web data processing through cutting-edge technology.
Career Highlights
Rajgopal Kannan has collaborated with esteemed institutions throughout his career. He has contributed to the Louisiana Tech University Research Foundation and has served with the Board of Supervisors of Louisiana State University, showcasing his dedication to advancing research and innovation in computer science.
Collaborations
Throughout his professional journey, Kannan has had the opportunity to work alongside notable colleagues such as Vir V Phoha and Sitharama S Iyengar. These collaborations have likely enriched his research and fueled his passion for developing ingenious solutions for data allocation issues.
Conclusion
With his innovative patents and impactful collaborations, Rajgopal Kannan has made a remarkable mark in the field of computer science and data processing. His work reflects a deep understanding of neural networks and their application in solving real-world challenges, and he continues to be an influential figure in technology and research.