The article titled “Prediction of University Students’ Subjective Well-Being with Sleep and Physical Activity Data using Classification Algorithms” written by Res. Assist. Akif Can Kılıç from the Department of Industrial Engineering has been accepted for publication in the “Procedia Computer Science” journal.