Yelin Kim is a Ph.D. candidate at the University of Michigan, with an expected defense date in Summer 2016.
She is working with Professor Emily Mower Provost in the Computational Human-Centered Analysis and Integration (CHAI) Lab.
Her research is in the area of human-centered and affective computing, developing computational systems for automatic emotion recognition. Her research builds upon techniques from diverse areas, including machine learning, multimodal (speech and video) signal processing, computer vision, and behavioral science. She is a recipient of several awards and scholarships, including Best Student Paper at ACM Multimedia '14, the Korean Government Scholarship for Study Abroad, the Qualcomm Scholarship, the Korea National Science Scholarship, and the Temasek Foundation-Singapore Management University Leadership Enrichment and Regional Networking Scholarship.
She received her M.S. in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, and her B.S. in Electrical and Computer Engineering from Seoul National University. During the summer of 2014, she has interned in the Computer Vision lab at GE Global Research.