Junwei Cao
Junwei Cao is currently a Professor and Assistant Dean of Research Institute of Information Technology, Tsinghua University, China. He is also a Research Affiliate of LIGO Laboratory, Massachusetts Institute of Technology, USA. He has been working on advanced computing technology, e.g. cyberinfrastructure and grid computing, cluster computing, high performance computing, and their applications for more than 10 years. Before joining Tsinghua in 2006, Junwei Cao was a Research Scientist of LIGO Laboratory, Massachusetts Institute of Technology, USA. He participated in building of the LIGO data grid (LDG) with thousands of CPUs and terabytes of data storage distributed over 10 sites in the US and Europe. The LDG client/server environment developed by Junwei Cao was used by over 500 research scientists in the LIGO Scientific Collaboration. Before that he worked as a research staff member of C&C Research laboratories, NEC Europe Ltd., Germany. Junwei Cao got his PhD in computer science from University of Warwick, UK, in 2001, where his PhD thesis was focused on Agent-based Resource Management for Grid Computing. He got his master and bachelor degrees from Tsinghua University with highest honors in 1998 and 1996, respectively. Junwei Cao has published over 50 academic papers and books, cited by international researchers for over 500 times. He served as a program committee member, journal reviewer, proposal evaluator or invited speaker for many academic events. Junwei Cao is a member of the LIGO Scientific Collaboration (LSC) and serves as a member of the LSC data analysis software committee. He is also a member of the Open Science Grid consortium in the US. Junwei Cao is the guest editor of the book Cyberinfrastructure Technologies and Applications to be published by Nova Science Publishers. Junwei Cao is a Senior Member of the IEEE Computer Society and a Member of the ACM. A list of Junwei Cao's current CI/grid related research: CI technologies
CI applications
CI testbeds |
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This material is based in part upon work supported by the National Science Foundation under Grant Number OISE-0730065. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. © 2007 Florida International University