About

Kun QIAN received his doctoral degree (Dr.-Ing.) for his study on automatic general audio signal classification in 2018 in electrical engineering and information technology from Technische Universität München (TUM), Germany. Currently, he is working as a JSPS Postdoctoral Research Fellow in the Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo (UTokyo), Japan. He was sponsored by fellowships to be the visiting researcher at the Nanyang Technological University (NTU), Singapore, the Tokyo Institute of Technology (Tokyo Tech), Japan, and the Carnegie Mellon University (CMU), USA. From 2019, he was appointed to be the Associate Editor of Frontiers in Digital Health. His main research interests include signal processing, machine learning, biomedical engineering, and deep learning.