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SUMMARY:Inspiration of Taiji: Can Audio Benefit Healthcare for Diagnosis a
 nd Treatment? - Kun Qian\, School of Medical Technology Beijing Institute 
 of Technology China
DTSTART:20240521T150000Z
DTEND:20240521T160000Z
UID:TALK208375@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:*ABSTRACT*: Audio\, as a novel digital phenotype (e.g.\, the b
 ody sound)\, has been studied and demonstrated to be effective via the pow
 er of computer audition (CA)\, an emerging technology that enables the com
 puters 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 interven
 tion approach for not only physical diseases but also mental disorders. In
 spired by the Chinese philosophy of Taiji\, we hope to discuss the possibi
 lities of leveraging CA to benefit healthcare for both diagnosis and treat
 ment. 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 fo
 r the future work.\n\n*BIO*: Kun QIAN received his doctoral degree for his
  study on automatic general audio signal classification in 2018 in electri
 cal engineering and information technology from Technische Universität M
 ünchen (TUM)\, Germany. Then he was awarded the JSPS Postdoctoral Researc
 h Fellowship to conduct the cutting-edge research at The University of Tok
 yo\, 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 As
 sociate Editor for the IEEE Transactions on Affective Computing. He has pu
 blished more than 130 peer-reviewed papers\, including the prestigious aca
 demic journals such as IEEE Signal Processing Magazine\, IEEE IoTJ\, IEEE 
 J-BHI\, IEEET-ASE\, IEEE T-BME\, ABME\, and JASA.
LOCATION:Online
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