| 序号 | 主办单位 | 时间 | 地点 | 报告题目 | 报告人 | 报告人 职称 | 报告人单位 | 联络人 |
| 1 | 计算机科学与技术学院 | 2015年9月22日（周二）10：00 | 黄家湖校区 教三楼30204 | Computational Wellness | 聂礼强 | 博 士 | 新加坡国立大学 | 刘星027-68893371 |
欢迎广大师生前往！
校科协、计算机科学与技术学院
2015.9.21
专家简介：
聂礼强 博士 于2013年与2009年分别在新加坡国立大学与西安交通大学获得博士学位与学士学位，目前是新加坡国立大学计算机学院的研究员，主要研究方向包括媒体搜索和健康计算。截止目前，聂礼强博士共发表40多篇学术论文，其中包括SIGIR, MM, IJCAI, TOIS 与TKDE等顶级期刊与会议；聂礼强博士也是IEEE TBD, MTAP, MMM以及ICMR等多个国际学术期刊的客座编委。
报告摘要:
Recent years have witnessed the revolutionary changes brought about by the development of multimedia technologies. These changes advance many disciplines and industries, and health is no exception. In such context, we observed: 1) with the help of crowd-based and social networking services, healthcare knowledge is more convenient to share, acquire and disseminate among health seekers and providers. This greatly facilitates the doctor-doctor, doctor-patient and patient-patient communication; 2) as compared to the traditional pure textual descriptions, health today is complementarily characterized by multi-modal data, such as images, audios and sometimes the videos. This enables doctors to concisely comprehend the health conditions of the patients; 3) rather than embrace doctors’ orders, patients nowadays actively seek for online health information, and post their disease control experiences. At the same time, they are frequently overwhelmed by uneven health data in quality; and 4) mobiles and other wearable health sensors are equipped by patients and doctors to track the health and exercises. This makes it possible for real-time monitoring and remote health support.
The remarkable changes in health domain, at the same time, bring us many research opportunities in a broad spectrum of application domains, such as health data quality assessment, cross-source learning for better lifestyles, personalized health with sensor data, and health data visualization.
In this talk, I will first elaborate the popular online health systems and health data collected from these systems. I will then introduce the research efforts we have dedicated to the health domain in past three years. Following that, I will detail our latest work, i.e., progression modeling of chronic diseases. Finally, future potential research topics in health domain are discussed.
学术交流
学术交流
