Yujing Su

Title: Yujing Su: Innovator in Correctional Technology and Communication Systems

Introduction

Yujing Su is a notable inventor based in Chicago, IL, who has made significant contributions to the fields of correctional technology and communication systems. With a total of 3 patents to his name, Su's work focuses on utilizing machine learning and electronic systems to enhance operational efficiency and safety.

Latest Patents

One of Su's latest patents is titled "Device, system and method for electronically implementing corrective actions based on keep-separate attributes." This invention provides a method for generating keep-separate attributes associated with inmate profiles, which are crucial for maintaining safety within correctional facilities. The system modifies schedule data that violates these attributes, ensuring physical separation between inmates when necessary. The use of machine-learning algorithms allows for real-time adjustments and notifications to correctional officers.

Another significant patent is the "Device and method for providing relevant video content to members of a communication group." This process involves detecting triggering events to provide video content to communication group members. By assigning reviewer ranks based on user context, the system selects a member to approve the video content, thereby enhancing group communication and engagement.

Career Highlights

Yujing Su is currently employed at Motorola Solutions, Inc., where he continues to innovate and develop technologies that improve communication and safety in various environments. His work at Motorola has positioned him as a key player in the advancement of electronic systems for both correctional facilities and communication networks.

Collaborations

Su collaborates with talented individuals such as Veerapriya Veerasubramanian and Chun Wang, who contribute to his projects and help drive innovation within the company.

Conclusion

Yujing Su's contributions to technology, particularly in correctional systems and communication, demonstrate his commitment to improving safety and efficiency through innovation. His patents reflect a forward-thinking approach that leverages machine learning and electronic systems to address complex challenges.