[Adapt] Talk By Prof. Ye Wang From NUS

[Kenny Zhu]

Dear Colleagues,

 

It is my pleasure to have invited Prof. Ye Wang from National University of
Singapore to give a talk about computing, multimedia and e-health. Please
disseminate to your students. Details as follows:

 

TITLE : When Music, Information Technology, and Medicine Meet

 

VENUE: Thursday, Jan 10, 2013, Room 404, SEIEE Building 3

 

ABSTRACT:

From Napster to YouTube and iTunes, music has always been a major driving
force of Internet technologies. A huge amount of music content is now
accessible to the public. Organizing and categorizing this content to
support an effective recommendation system has become a significant
challenge. The primary goal of our lab is to develop new technologies to
address this challenge in the field of healthcare. We seek to harness the
synergy of sound and music computing (SMC), mobile computing, and cloud
computing technologies to promote healthy lifestyles and to facilitate
disease prevention, diagnosis, and treatment in both developed countries and
resource-poor developing countries. In this talk, I present a collaborative
research project between the SMC lab at National University of Singapore and
the Music, Neuroimaging, and Stroke Recovery Lab at Beth Israel Deaconess
Medical Center (BIDMC) / Harvard Medical School. We are developing a
cloud-based therapy delivery system that uses music to enhance limb function
and speech in patients with neurological impairments using smart devices
such as iPhone. Our focus is to develop high-tech, low-cost solutions that
aim to (1) facilitate recovery in patients with post-stroke speech and motor
impairments, (2) improve gait and mobility and reduce fall risk in patients
with Parkinson’s disease (PD), and thereby, improve Quality of Life (QoL)
for both patients and caregivers.

In this talk, I will also introduce a few new funded projects at NUS SMC
Lab, followed by live demos and a discussion of possible research
collaborations, available PhD scholarships and research positions in our
multidisciplinary team which call for expertise in statistical signal
processing, optimization, machine learning as well as human computer
interaction.

 

BIODATA:

Ye Wang is an Associate Professor in the Computer Science Department at the
National University of Singapore (NUS) and NUS Graduate School for
Integrative Sciences and Engineering (NGS). He established and directed the
sound and music computing (SMC) Lab. Before joining NUS he was a member of
the technical staff at Nokia Research Center in Tampere, Finland for 9
years. His research interests include sound analysis and music information
retrieval (MIR), mobile computing, and cloud computing, and their
applications in music edutainment and e-Health, as well as determining their
effectiveness via subjective and objective evaluations. His most recent
projects involve the design and evaluation of systems to support 1)
therapeutic gait training using Rhythmic Auditory Stimulation (RAS), and 2)
Melodic Intonation Therapy (MIT). In the academic year 2011 - 2012 he has
taken his 

sabbatical leave at the School of Computer Science of Fudan University and
at Harvard Medical School.

 

 

 

 

标题：音乐、医疗及信息技术之结合

 

摘要：

从Napster到YouTube，再到iTunes，音乐一直是IT领域中的一支重要力量。现在，海量
的音乐内容可以容易的为大众所获取，如何将这些音乐内容进行组织和分类并构建一个
有效的推荐系统已经成为一个重要的研究课题。我们实验室的一个主要研究方向就是致
力于在医疗领域内解决这一挑战。我们尝试将声音及音乐计算(sound and music
computing)、移动计算和云计算结合起来，同时针对发达国家和资源匮乏的发展中国
家，提供一系列疾病预防、疾病诊断、临床治疗及推广和提倡健康生活方式的解决方
案。在本次讲座中，我将介绍新加坡国立大学声音与音乐计算实验室(Sound and Music
Computing Lab, NUS)和哈佛医学院音乐、神经影像和中风康复实验室(Music,
Neuroimaging and Stroke Recovery Lab, BIDMC)的一个合作项目。在这个项目中，我
们尝试构建一个基于私有云的诊疗系统，通过iPhone等智能设备，帮助病人增强肢体机
能和语言机能。研究的重点是开发出高技术、低成本的解决方案以实现：1) 帮助中风
导致失语的患者恢复语言机能，2) 帮助帕金森氏症患者增强步态稳定和行走机能以降
低跌倒几率；从而，帮助这些病人及其家属提高生活质量。

此外，我还将介绍一些我们声音与音乐计算实验室(Sound and Music Computing Lab,
NUS)的其他项目及其相关演示，并将讨论可能的研究合作机会、我们实验室的PhD奖学
金及开放的研究岗位。我们实验室的研究方向覆盖多个学科及其交叉领域，欢迎统计信
号处理、最优化过程、机器学习及人机交互领域的同仁加盟。

 

个人简介：

王晔，新加坡国立大学计算机学院副教授，新加坡国立大学理工研究生院副教授。新加
坡国立大学声音与音乐计算实验室的创始人和负责人。加入新加坡国立大学之前，曾就
职于芬兰诺基亚坦佩雷研究中心，从事研究工作达9年。2011-2012年度，曾赴复旦大学
计算机学院和哈佛医学院访问。研究方向包括声音分析、音乐信息检索、移动计算、云
计算及其在音乐教育、电子化医疗等领域的应用和主客观评估方法。近年的研究项目涉
及为1) 基于节奏化听觉刺激(RAS)的行走机能训练，2) 旋律语调治疗法 设计的系统及
其评估。 

 

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