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 is a Senior Member of the IEEE. 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. Dr.Qian serves as the Associate Editor for IEEE Transactions on Affective Computing, Frontiers in Digital Health, and BIO Integration, and is the leading organiser of the special session on computer audition for healthcare (CA4H) in the ICASSP2021, Toronto, Canada. He reviews regularly for many prestigious journals (e.g., IEEE TNNLS/IoTJ/TCYB/TII/TAFFC, IEEE/ACM TASLP). Moreover, he was also the reviewer for the past ICASSP/INTERSPEECH/EMBC conferences. His main research interests include signal processing, machine learning, biomedical engineering, and deep learning. He (co-)authored more than 60 publications in peer reviewed journals (including the top journals IEEE Signal Processing Magazine, IEEE Internet of Things Journal, IEEE Journal of Biomedical and Health Informatics, and Journal of Acoustical Society of America), and conference proceedings (including the prestigious conferences ICASSP, INTERSPEECH, EMBC) having received more than 800 citations (h-index 17).