KC Chang of the SEOR Department is the local coordinator of the workshop:
     Big Data: From Signal Processing to Systems Engineering
to be held in Arlington on March 21-22.   The registration deadline is 
March 10 (Sunday).

URL: http://www.dtc.umn.edu/seminars/events.php?eventdesc=690&menu=Home

General Information

On March 29, 2012, the White House announced the Big Data Research and 
Development Initiative to mobilize the research and development 
enterprise towards Big Data analytics for solving some of the nation's 
most pressing challenges. Many agencies are involved, spanning from 
National Science Foundation (NSF) and National Institutes of Health to 
the Department of Defense and the Department of Energy. Signal 
processing and systems engineering communities can be important 
contributors to Big Data research and development, complementing 
computer and information science-based efforts in this direction. Big 
Data analytics entail high-dimensional, decentralized, online, and 
robust statistical signal processing, as well as large, distributed, 
fault-tolerant, and intelligent systems engineering. There is a need and 
opportunity for the signals and systems communities to jointly pursue 
Big Data research and development.

The aim of this workshop is to bring together signal processing 
scientists and engineers, computer and information scientists, applied 
mathematicians and statisticians, as well as systems engineers to carve 
out the role that analytical and experimental engineering has to play in 
Big Data research and development. This workshop will emphasize signal 
analytics and systems engineering aspects of Big Data. Time is of 
essence, as the premise is to engage the engineering community and help 
shape up research directions for the next few years.

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Stephen G. Nash
Senior Associate Dean
Volgenau School of Engineering
George Mason University
Nguyen Engineering Building, Room 2500
Mailstop 5C8
Fairfax, VA 22030

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Phone: (703) 993-1505
Fax: (703) 993-1633
http://www.gmu.edu/departments/seor/faculty/nash.html