Prof. Seong-Lyun Kim’s research team, in collaboration with the Korea Railroad Research Institute, has developed a path estimation algorithm using WiFi and a graph neural network. This study transforms user movement patterns into graphs, significantly reducing positioning errors in environments where distance estimation errors are large (2-10m) to about 1m. This result is scheduled to be published in a special issue of the IEEE Journal of Selected Area in Communications (JSAC), a leading journal in the field of communications with an IF of 16.4

This work was led by graduate student Kyuwon Han (first author).