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学术报告-Big Data Research Opportunities in Disaster Management: The LITMUS Landslide Information Service as an Illustrative Example

发布时间:2019-06-03   来源:新银河70808-www70808com原创   浏览次数:0

Big Data Research Opportunities in Disaster Management: The LITMUS Landslide Information Service as an Illustrative Example

主讲人:Calton Pu  教授

活动时间:06月05日10时15分    

地点:理科群1号楼D418

讲座内容:The ongoing convergence of evolution of devices (Internet of Things), deployment of large shared infrastructures (computing clouds), and accumulation of Big Data (sensors and social media) has created exciting new research challenges in quality of service (e.g., real-time response time, high availability and robustness despite widespread failures), and quality of information (e.g., security, privacy, and robustness despite misinformation). These research challenges require integration and synthesis of results from several related areas, e.g., sensor networks and social networks as Big Data producers, sophisticated machine learning models running on clouds as Big Data consumers, and system support at various levels to provide timely response. We have built LITMUS, a landslide detection system, to illustrate the research challenges of integrating physical sensors (earthquakes and rainfall) and social sensors (Twitter, Instagram, and YouTube).

主讲人介绍:

Calton Pu received his PhD from University of Washington and served on the faculty of Columbia University and Oregon Graduate Institute.  Currently, he is holding the position of Professor and John P. Imlay, Jr. Chair in Software in the College of Computing, Georgia Institute of Technology.  He has worked on several projects in systems and database research.  His contributions to systems research include program specialization and software feedback.  His contributions to database research include extended transaction models and their implementation.  His recent research has focused on automated system management in clouds (Elba project), information quality (e.g., spam processing), and big data in Internet of Things (GRAIT-DM project).  He has collaborated extensively with scientists and industry researchers.  He has published more than 70 journal papers and book chapters, 280 conference and refereed workshop papers. He served on more than 120 program committees.


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