Taeheum Cho is currently a researcher at Modnbio. He received his BA degree in Industrial and Organizational Psychology from Kwangwoon University in Seoul, South Korea.

His research interests include Internet of Things (IoT) and machine learning algorithms, with a focus on brain-computer interface applications.

Publications

Conference Papers

• T. Cho, H. Lee, W. Seok, C. Park, “Classification of Motor Imagery Tasks Through Optimal Principal Components Selected Using Reinforcement Learning”, Ubiquitous Healthcare 2018 in Kyoto, International Science Innovation Building, Kyoto University, Dec. 11-13, 2018