简介: |
2007年清华大学信息技术研究院系列学术报告16
Yi Deng received his Ph.D. in Computer Science from the University of Pittsburgh in 1992. Since 2002, he has been the Dean and Professor of School of Computing and Information Sciences at the Florida International University (FIU) – the State University of Florida in Miami. He is an accomplished leader in computing and IT research and innovation. He has authored or co-authored over ninety research papers, and has been PI or Co-PI of eighteen research grants over $15 million, most of which from premier US federal funding agencies. He has initiated and led many large scale multidisciplinary research and education initiatives, founded and directed three research centers, including the Center for Advanced Distributed System Engineering, the NSF Center of Emerging Technologies for Advanced Information Processing and High Confidence Systems, and the IBM Center for Autonomic and Grid Computing at FIU. He has been an active contributor to the professional and research community. He co-founded the Latin American Grid (LA Grid) Consortium with IBM, an innovative international partnership for computing research and workforce development, with members including Barcelona Supercomputing Center and ten universities in US, Puerto Rico, Mexico, Spain and Argentina.
Abstract
Prof. Yi Deng will present his experiences in developing international partnerships for collaborative, interdisciplinary computing research and education, from the Latin American Grid Consortium to the US NSF sponsored International Partnership for Research and Education (PIRE) initiative, involving leading universities, industry and governmental organizations in eight counties on four continents. He will discuss his partnership model that promotes high-impact societal problem-driven research, using collaboration to drive streamlined workforce development. He will further present three collaborative research projects, including (1) the Business Continuity Information Network, which is aimed to use IT to help achieve rapid business recovery in the aftermath of major hurricane (or other) disasters, (2) On-demand, multi-scale weather modeling, which is to provide accurate localized forecast of incoming severe weather conditions, and (3) a Communication Virtual Machine, which supports rapid realization of new communication services in healthcare and medicine and other areas. Although these projects vary in nature and objective, they share a common trait in better enabling applications over the global cyber-infrastructure. |