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High-resolution Crvo-EM Studies of Amyloid Fibrils in Neurodegenerative Diseases
Recent Advances of Phosphorescent Metal Complexes
环境学术沙龙第702期:城市大气新粒子生成与生长
最优潮流的可行性恢复映射深度神经网络
报告题目:
When Information Technology, Music and Medicine Converge
 报告人:
Ye Wang
Professor of Computer Science Department National University of Singapore
报告时间:
2011-12-14 15:00
报告地点:
Lecture Room in First Floor (一楼小报告厅), FIT Building
主办单位:
计算机系
  简介:

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 employing Music Information Retrieval (MIR) and Sound and Music Computing (SMC) technologies to promote healthy lifestyle, and to enable affordable Computer Supported Music Therapy (CSMT) for patients with limited resources to cope with chronic diseases such as Parkinson’s and stroke. In this talk, I will introduce a few CSMT projects at National University of Singapore, followed by live demos and a discussion of possible research collaborations, available PhD scholarships and research positions in our multidisciplinary projects which call for expertise in statistical signal processing, optimization, machine learning as well as human computer interaction.

 

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). He is especially interested in developing novel applications/systems for music edutainment and e-Health, as well as determining their effectiveness 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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