New Paper Accepted by IEEE J-BHI!

Our recent paper entitled “Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review” is accepted and published online by IEEE Journal of Biomedical and Health Informatics (IEEE J-BHI, IF-2019: 5.223). Readers who may be interested in computer audition based methods for non/less invasive methods for snore site location can refer to this paper at:

Visiting Kyushu University (九州大学)

From November 7th, 2019 to November 10th, 2019, I visited Kyushu University (九州大学). It was a great experience! An amazing campus and a very happy talk with Prof. Keiji Iramina and his lab members. I gave a presentation on the topic of “A.I. Betters Our Life: Applications from General Audio to Wearable Data“, which introduced my doctoral study in Germany and my recent research work in Japan. I am very much looking forward to collaborating with the excellent colleagues in A.I. for BCI (brain-computer interface) and neurology sciences. Fukuoka is so beautiful!