This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Chung Ang University Industry Academic Cooperation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Jun Suk Oh in IoT Networks
Introduction
Jun Suk Oh is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of Internet of Things (IoT) through his innovative patent. His work focuses on enhancing the efficiency of IoT networks by utilizing machine learning techniques.
Latest Patents
Jun Suk Oh holds a patent titled "System and method for identifying spatial resource for IoT network based on machine learning." This patent discloses a system designed to identify spatial resources for IoT networks. The system includes a variety of IoT devices (IoTDs) that identify empty spatial resources using specific identification parameters. These devices provide spectrum identification information based on their findings. Additionally, a radio resource harvesting edge (RRHE) receives this information, optimizes the identification parameters, and relays the optimized parameters back to the IoTDs. This innovative approach enhances the overall functionality and efficiency of IoT networks.
Career Highlights
Jun Suk Oh is affiliated with Chung Ang University Industry Academic Cooperation, where he applies his expertise in IoT and machine learning. His work at this institution allows him to collaborate with other experts in the field and contribute to cutting-edge research.
Collaborations
He has worked alongside notable colleagues such as Sung Rae Cho and Woong Soo Na, further enriching his research and development efforts in the IoT domain.
Conclusion
Jun Suk Oh's contributions to the field of IoT through his innovative patent demonstrate his commitment to advancing technology. His work not only enhances the efficiency of IoT networks but also showcases the potential of machine learning in this rapidly evolving field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile