Challenges and
Opportunities |
Distributed sensor networks are a
new fast developing technology that promises to revolutionize our
ability to sense environments, natural and social, over unprecedented
spatial and temporal scales. Creating autonomous, collaborative, and
robust computation across a large set of small computing devices pushes
to the limit current models of artificial intelligence, machine
learning, control theory, decision theory, and distributed computing. It
also brings to the fore current topics of research that connect the
form and function of complex networks. This workshop will bring together a selected group of experts across several disciplines to discuss the current state of the technology, proposed computational strategies, issues of data assimilation, and the challenges and opportunities posed by the most promising applications of this technology.  |
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Invited Speakers:
John Baillieul, Boston U.
Renee Brown, U. New Mexico
Christos Cassandras, Boston U.
David Castanon, Boston U.
Deborah Estrin, UCLA
Gregory Eyink, Johns Hopkins /
LANL
Aric Hagberg, LANL
Don Hush, LANL
Angela Mielke, LANL
Ron Minnich, LANL
Sanjoy Mitter, MIT
Yannis Paschalidis, Boston U.
Bill Priedhorsky, LANL
Venkatesh Saligrama, Boston U.
Jim Smith, LANL
R. Srikant, U. Illinois, U-C
David Starobinski, Boston U.
Zoltan Toroczkai, LANL
Pirooz Vakili, Boston U.
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Organizing Committee:
Frank Alexander, LANL
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