||Ye Wang (王晔）
||School of Computing National University of Singapore
||2019 年 7 月 18 日（周四）上午 10 点
||复旦大学邯郸路 220 号逸夫楼二楼报告厅
Music is more than just a source of entertainment. Parents sing nursery rhymes to their young children to help them learn their first language; music therapists use music to help patients recover. I will present our recent research work in creating music computing technology specifically geared towards health and learning applications. In particular, I will introduce our Singing and Listening to Improve Our Natural Speaking (SLIONS) Karaoke smartphone app, which is designed to promote joyful learning of a second language. Wearable sensors are applied in many different domains. I will present our wearable sensor systems specially designed for quantifying patients’ gaits, as well as for facilitating physical exercise via dancing and music making. Towards this end, I will highlight our Mobility Analysis (MANA) smart-sensor system which is designed to quantify gaits of people with Parkinson’s disease, as well as Motion Initiated Music Ensemble with Sensors (MIMES) system which is designed to convert human movements to musical sounds for neurologic music therapy.
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 (www.smcnus.org). 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), 2) second language learning, and 3) motivating exercise via music-based systems.
王雅，浙江大学，浙江省科技厅计算机领域评审专家，浙江省人工智能学会副秘书长，曾获市卫生局 “工作成绩优异” 嘉奖。主持与参与国家重点研发项目 “ 精准医学临床决策支持系统研发 ” 及 “ 跨模态医疗知识管理 ”、中央高校教育教学专项 “ 医疗人工智能 ” 课程改革等，多项浙江省科技厅、省卫生厅 A 类项目。
张军平，复旦大学计算机科学技术学院，教授、博士生导师。主要研究方向是人工智能、机器学习、图像处理、生物认证及。目前主持 2018 科技部重点专项 “人-机器人智能融合技术” 子课题和国家自然科学基金面上项目。他为人工智能著名期刊 IEEE Intelligent Systems 编委，为《软件学报》、《自动化学报》、《模式识别与人工智能》和中国工程院院刊信息方向英文刊《Frontiers of Information Science and Electric Engineering》的责任编辑。他是中国自动化学会混合智能专业委员会副主任，中国人工智能学会机器学习专委会常委。发表 100 余篇人工智能相关的高质量论文，包括 IEEE TPAMI, TNNLS, ToC, TAC, TITS, TVCG 等国际期刊和 ICML, AAAI，ECCV 等国际会议。