Professor Sim Junseop’s Research Team Won The Best Paper Award at 2022 Institute of Embedded Engineering of Korea Fall Conference

Student Lee Joo-won (Left) & Prof. Sim Junseop (Right)

Professor Sim Junseop of Department of Electronic Convergence Engineering & student Lee Joo-won of research team (Master’s program 2nd Semester) won the Best Paper Award at the ‘2022 Institute of Embedded Engineering of Korea Fall Conference’ held on November. The research team (Lee Joo-won, Kim Soon-jong, Park Min-joon, Lee Jun-hee, Jo Woo-hee) presented a thesis on topic ‘WLAN-based cloud computing platform to drive AI multi-control biochip system’.

In the case of self-diagnosis kits that are currently being used, the problem such as accuracy not being high, especially for patients with a small amount of virus because it uses paper-based antigen-antibody reactions like pregnancy test kits. The research team solved this problem by using the ELISA diagnostic method used in precision blood tests. A biochip system that automatically performs an enzyme-linked immunoreaction (ELISA) using artificial intelligence was developed to quantitatively detect the coronavirus (COVID-19). It was verified through experiments that it is possible to measure up to 100 times lower concentration than the existing technology.

The research team was able to apply a high-performance artificial intelligence program that automates diagnosis programs to edge devices through cloud computing and developed multiple diagnostic platforms to be controlled simultaneously. Through this, it was possible to have a cost advantage. In addition, the test results are transmitted to the database of the web server, so that the results of the COVID-19 test and the nationwide infection status can be grasped in real time through the map on the web page.

Professor Shim Jun-seop, who directed the research, said, “In order to strengthen quarantine through the current COVID-19 test, it is necessary to quickly grasp the result through an accurate test and monitor it in real time to block further transmission. The portable ELISA analyzer developed in this study is a key technology that can achieve these requirements.”

This research was supported by Korea Medical Device Development Fund, BrainKorea21, National Research Foundation of Korea General Joint Research Support & Kwangwoon University Research Fund.