*ABSTRACT*: Audio, as a novel digital phenotype (e.g., the body sound), has been studied and demonstrated to be effective via the power of computer audition (CA), an emerging technology that enables the computers to listen to the real world similar to or even beyond the human ear capacity. At the same time, audio (e.g., music) can be used an intervention approach for not only physical diseases but also mental disorders. Inspired by the Chinese philosophy of Taiji, we hope to discuss the possibilities of leveraging CA to benefit healthcare for both diagnosis and treatment. In this talk, Prof. Qian will present the state-of-the-art work in the field of CA for healthcare, and give his insights and perspectives for the future work.
*BIO*: Kun QIAN received his doctoral degree for his study on automatic general audio signal classification in 2018 in electrical engineering and information technology from Technische Universität München (TUM), Germany. Then he was awarded the JSPS Postdoctoral Research Fellowship to conduct the cutting-edge research at The University of Tokyo, Japan. From 2021, he has been appointed to be a (Full) Professor at Beijing Institute of Technology, China. He is a Senior Member of the IEEE. He has a strong collaboration connection to prestigious universities in Germany, UK, Japan, Singapore, and the USA. Prof. Qian serves as an Associate Editor for the IEEE Transactions on Affective Computing. He has published more than 130 peer-reviewed papers, including the prestigious academic journals such as IEEE Signal Processing Magazine, IEEE IoTJ, IEEE J-BHI, IEEET-ASE, IEEE T-BME, ABME, and JASA.
