This inventor holds 2 USPTO granted patents. Top assignees: Korea Advanced Institute of Science and Technology, Korea Aerospace Research Institute. Active years: 2012-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
1 out of 2,795 
1 out of 198 Years Active: 2012-2022
Title: Dae-Jin Kim: A Trailblazer in Machine Learning and Turbomachinery Innovations
Introduction
Dae-Jin Kim, an accomplished inventor based in Daejeon, South Korea, has made significant strides in the fields of machine learning and turbomachinery. With two patents under his name, his innovations are set to enhance systems in various technological domains.
Latest Patents
Dae-Jin Kim's latest patents include a "Coding and incentive-based mechanism for distributed training of machine learning in IoT" and a "Turbo-machine having a bellows unit for automatic axial thrust control." The first patent focuses on a distributed computing management system that utilizes a parameter server to optimize gradient descent computation tasks. It cleverly organizes end devices into clusters based on performance, adjusting CPU-cycle frequencies and distributing incentives for efficient participation. The second patent describes a turbo-machine that consists of a volute casing, impeller, axial thrust control member, and a unique bellows unit designed to maintain automatic axial thrust control.
Career Highlights
Dae-Jin Kim has had an influential career, having worked at notable institutions such as the Korea Aerospace Research Institute and the Korea Advanced Institute of Science and Technology. His experience in these prestigious organizations has allowed him to contribute to cutting-edge projects that bridge the gap between traditional engineering and modern computational techniques.
Collaborations
Throughout his career, Dae-Jin has collaborated with talented professionals, including Jinhan Kim and JunKyun Choi. These collaborations have facilitated a dynamic exchange of ideas and skills, pushing the boundaries of innovation in their respective fields.
Conclusion
Dae-Jin Kim's contributions to machine learning and turbomachinery are noteworthy, showcasing his inventive spirit and dedication to technological advancement. His patents hold great promise for improving efficiency in distributed computing systems and enhancing the performance of turbomachinery, marking him as a key figure in the ongoing evolution of these industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile