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报告摘要 |
Advances in information systems must occur hand-in-hand with advances in the networking technologies that underlie them. The cross cutting technical area such as next generation networked information focus on innovative research on information systems that anticipate future distributed networking environment.
Examples of research questions include: What new information systems are possible in networks with massive numbers of nodes of extreme heterogeneity with respect to capability, mobility, and use? How can vast, heterogeneous, distributed, and uncoordinated sources of data and information be made comprehensible, manageable, and useful for the unforeseen and diverse tasks to which they may be relevant? What new metaphors and models will make it possible to impart coherence to the diverse ways users might access information in the future? How can information be accessed and disseminated based on both content and context? How can we provide timely and coherent access to information when the magnitude of the information flow dwarfs our ability to transport, process, or comprehend the data directly?
Dr. Yuan will discuss recent and current research projects that strive to solve questions posted above, emphasizing how to make vast, heterogeneous, distributed, and uncoordinated sources of data and information more comprehensible. Example applications include next generation network enabled ubiquitous healthcare system, skin cancer automatic detection, and cardiac optical imaging.
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报告人简介：⑴、现在工作单位及职称 ⑵、主要研究方向 ⑶、学术成就简述（100字以内）
中国科学技术大学自动化系硕士，Tulane University博士。创建并担任休斯顿大学Intelligent Sensor Grid and Informatics（ISGRIN）实验室主任。致力于发展下一代传感器网络的算法及其应用。主要的研究方向有
1）Sensor Network Performance Analysis
2）Multihop WSN Testbed
3）Skin Cancer Detection
4）Arrhythmia Mechanisms Characterization
5) Air Quality Modeling
多次担任Intelligent Sensor Network国际会议的主席和副主席。在智能传感器领域发表30余篇论文并拥有多项专利。研究项目得到了美国NASA、EIH，UH new faculty grant、GEAR、Abramson Family Center for Future of Health、FDIP、Texas Workforce Commission等十余种基金的支持。 |
2007年12月25日
