[Adapt] Talk Next Thursday by Ye Wang from NUS

Kenny Zhu kzhu at cs.sjtu.edu.cn
Thu Oct 27 16:18:14 CST 2011


Dear all,

Prof. Ye Wang is my friend and colleague from National University of
Singapore. He is one of the pioneers in computerized music education and
music for health care. He has published regularly in top conferences such as
ACM Multimedia. Prof Wang is visiting the department and giving a talk next
Thursday morning. Please forward this mail to faculty and students,
especially senior undergraduate students who might be interested in working
on multimedia research.

Cheers,

Kenny

 

TITLE : When Information Technology, Music and Medicine Converge

Time: Thursday, Nov 3, 2011, 10:30 AM

Venue: SEIEE-#03-414

ABSTRACT:

With the continuing advances in the Internet technology, there has been
abundant music (e.g., from YouTube, iTune etc.) available to ordinary users.
How to organize/categorize music to enable effective search or
recommendation for healthcare applications becomes an important research
problem. We are particularly interested in music information retrieval (MIR)
and Sound and Music Computing (SMC) technologies which can make the
traditionally expensive music therapy (MT) affordable for patients with
limited resources to cope with chronic diseases such as Parkinson and
stroke. In this talk, I will introduce a few computer supported music
therapy (CSMT) projects at National University of Singapore, followed by
live demos and a discussion of possible research collaborations, available
PhD scholarships and research positions.

BIODATA:

Ye Wang is a tenured Associate Professor in the Computer Science Department
at the National University of Singapore (NUS). He established and directed
the Sound and Music Computing (SMC) Lab at NUS School of Computing. Before
joining NUS he was a Member of the Technical Staff at Nokia Research Center
in Tampere, Finland for 9 years. His research interests are in the area of
Mobile Computing, and Sound and Music Computing (SMC), in particular Sound
Analysis and Music Information Retrieval (MIR) with an emphasis on
applications in edutainment and e-Health. He is especially interested in
determining the effectiveness of computer supported assistive technology in
music education and music therapy via subjective and objective evaluations.
His most recent research involves the design and evaluation of systems to
support 1) therapeutic gait training using rhythmic auditory stimulation
(RAS), and 2) ear training and singing practice via meaningful feedbacks. In
the current academic year he is having his sabbatical leave at the School of
Computer Science, Fudan University (17th October 2011 - 16th January, 2012),
and at Harvard Medical School (1st February - 31st July 2012).

 

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