邮箱登录 | 所务办公 | 收藏本站 | English | 中国科学院
 
首页 计算所概况 新闻动态 科研成果 研究队伍 国际交流 技术转移 研究生教育 学术出版物 党群园地 科学传播 信息公开
国际交流
学术活动
交流动态
现在位置:首页 > 国际交流 > 学术活动
A Navigational Approach to Health: Actionable Guidance for Improved Quality of Life
2019-07-09 | 【 【打印】【关闭】

  时间:2019年7月15日(周一)下午14:00-15:30

  地点:计算所四层报告厅

  报告人:Ramesh Jain 教授, University of California, Irvine

  摘要:

  Health and well-being are shaped by how lifestyle and the environment interact with biological machines. A navigational paradigm can help users reach a specific health goal by using constantly captured measurements to estimate how their health is continuously changing and provide actionable guidance. Norbert Weiner said “To live effectively is to live with adequate information.” Individuals create and consume more diverse data about themselves today than any time in history. Sources of this data include wearable devices, images, social media, geo-spatial information and more. A tremendous opportunity rests within cross-modal data analysis that leverages existing domain knowledge methods to understand and guide human health. Especially in chronic diseases, current medical practice uses a combination of sparse hospital based biological metrics (blood tests, expensive imaging, etc.) to understand the evolving health status of an individual. Future health systems must integrate data created at the individual level to better understand health status perpetually, especially in a cybernetic framework. And, in this talk, a navigational approach to Health will be discussed to improve quality of life with multi-source data from daily life.

  报告人简介:

  Ramesh has been an active researcher in Computer Vision, Artificial Intelligence, Multimedia Computing, Experiential computing, and Digital Health. While at the University of Michigan, Ann Arbor, he founded and directed artificial intelligence laboratory in 1987; and at University of California, San Diego, he founded visual computing lab in 1995. At University of California, Irvine, He is founding director of UCI Institute for Future Health. He was also the founding Editor-in-Chief of IEEE MultiMedia magazine and Machine Vision and Applications journal. His co-authored and co-edited books include two text books: Machine Vision (published in 1995), and Multimedia Computing (published in 2014). Ramesh has been elected Fellow of ACM, IEEE, AAAS, IAPR, AAAI, and SPIE. He is the recipient of several awards including the ACM SIGMM Technical Achievement Award 2010. His current research is in building computing and data-driven approaches for Future Health.

  Ramesh co-founded multiple companies (Imageware, Virage, Praja, Seraja, mChron, and Krumbs), managed them in initial stages, and then turned them over to professional management. He enjoys working with companies, is involved in research, and enjoys writing.

 
网站地图 | 联系我们 | 意见反馈 | sb217.com
 
京ICP备05002829号 京公网安备1101080060号
万博娱乐怎么样最高占成 bet36娱乐升级版 sb217.com 262sun.com 老挝赌场盘口
拉菲娱乐开户平台 梦之城官网百家乐游戏中心 新櫈娱乐高返水日结 BBIN馆登入 威廉希尔代理佣金天天结算
金牛国际官网网址最高占成 新葡京电子升级 大众棋牌线路检测最高占成 百万发女优结利彩票 登峰娱乐开户现金网
EB易博传说大厅 久赢国际线上平台 菲律宾太阳城申博代理 永利vip官网最高占成 一起玩彩票直营网