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  <title><![CDATA[Applied Probability and Stochastics (APS) seminar-Sensor Web: Applications and Research Challenges]]></title>
  <body><![CDATA[<p>TITLE: Sensor Web: Applications and Research Challenges

</p><p>SPEAKER: Dr. WenZhan Song, Associate Professor of Computer Science at
Georgia State University</p><p>ABSTRACT: </p><p>If Internet is viewed as the circulatory system connecting the world for information sharing, then Sensor Web can be said as the nervous
system sensing the world: extracting timely information for efficientdecision support and quick corrective actions, where sensing,
computing, communication and control play a critical role and need a
transformative study. Sensor web has found many important
applications. In this talk, the speaker Dr. WenZhan Song will present
his research experiences, challenges and future plans in creating
Sensor Web systems for environment monitoring, smart grid and smart
environment.

Dr. Song is a pioneer to apply sensor web technology to volcano
monitoring. During 2006-2009, within a NASA project, he led a team of
WSU, JPL and USGS to create and demonstrate the first known space
in-situ sensor web for volcano monitoring. With a recent funded NSF
grant, Song is leading a new team of GSU, UNC and MSU to create a new
paradigm, VolcanoSRI (Volcano Seimic Realtime Imaging), for imaging
the tomography of an active volcano in real-time. A future effort aims
to integrate seimic tomography, InSAR and deformation model to make
the fictional holographic projector known as Virgil in the film
"Supervolcano" (3:49) a reality. Dr. Song is also active in applying
sensor web to smart grid and recently partners with Cornell and UC
Berkerley to investigate key aspects of a computation and information
foundation of the smart grids. Our goal is to gain a foundational
understanding of how information should be partitioned in time and
space; how it should be collected, distributed, compressed, and
aggregated. Song will be in charge of developing an open and scalable
experimental platform for its emprical study and validation. This
platform, known as SmartGridLab, will combine a hardware testbed with
a software simulator, allowing software virtual nodes to interact with
physical nodes in the testbed. Dr. Song has also been passionate with
applying sensor web technology to deliver cost-effective healthcare at
home. Having good health increasingly means managing our long-term
care rather than sporadic treatment of acute conditions. Sensor web
system can potentially emulate the monitoring funtions of homecare
nurses.
</p><p><strong>Bio:&nbsp; </strong></p><p>Dr. WenZhan Song is an associate professor of computer science at
Georgia State University. He established Sensorweb Research Laboratory
in 2005 with the vision of transforming information acquisition and
ambient intelligence paradigms through sensor web technology. His
research on sensor web system has received $6+ million research
funding from NSF, NASA, USGS and Boeing since 2005, resulting dozens
of high-impact research publications. His research has been featured
in MIT Technology Review, Network World, Scientific America, New
Scientist, etc. He was an assistant professor at Washington State
University - Vancouver during 2005-2010. He earned his PhD (2005) in
computer science from Illinois Institute of Technology, and MS (2000)
and BS (1997) from Nanjing University of Science and Technology. Dr.
Song was a recipient of NSF CAREER Award (2010) and Chancellor
Research Excellence Award (2010) of WSU Vancouver. He is an IEEE
Senior Member.

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