Company Filing History:
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Years Active: 2017-2022
Title: Rebecca Steinert: Innovator in Network Applications
Introduction
Rebecca Steinert is a prominent inventor based in Grödinge, Sweden. She has made significant contributions to the field of network applications, particularly in optimizing data transmission paths in large-scale computerized networks. With a total of 2 patents, her work focuses on enhancing performance and reliability in computing environments.
Latest Patents
One of her latest patents is titled "Dynamic deployment of network applications having performance and reliability guarantees in large computing networks." This invention relates to computerized systems and methods designed to optimize data transmission paths based on reliability and bandwidth requirements. It also addresses the physical adjustments needed to minimize end-to-end transmission delays within a calculated worst-case delay bound.
Another notable patent is "Method and network entity for evaluating a link between a first network node and a second network node." This patent discloses a method for evaluating links that carry data packets between network nodes. The network entity selects a mathematical model to generate measurement values and determines the status of data packets across different segments of the link.
Career Highlights
Rebecca has worked with esteemed organizations such as Rise Research Institutes of Sweden AB and Telefonaktiebolaget LM Ericsson (publ). Her experience in these companies has allowed her to develop innovative solutions that address complex networking challenges.
Collaborations
Throughout her career, Rebecca has collaborated with notable professionals, including Shaoteng Liu and Dejan Kostic. These partnerships have contributed to her success and the advancement of her inventions.
Conclusion
Rebecca Steinert is a trailblazer in the field of network applications, with her patents reflecting her commitment to improving data transmission efficiency and reliability. Her contributions continue to influence the landscape of large-scale computing networks.